Coursera Courses

Tune HNSW

An intermediate-level course for machine learning practitioners and AI engineers focused on mastering vector search techniques using HNSW algorithms. Learn optimization strategies for efficient similarity search in large-scale AI systems.

Medical Terminology for Healthcare Professionals

Build the clinical skills employers demand in this hands-on, practice-focused course. Essential medical terminology used across all healthcare settings. Master root words, prefixes, suffixes, and anatomical terms needed for clinical communication. Whether you're starting fresh or advancing your career, this training provides the foundation and credentials to move forward with confidence.

Psychological First Aid

Gain practical, patient-centered training through this industry-aligned course. Johns Hopkins course on providing evidence-based psychological first aid to people affected by disasters and traumatic events. Used by FEMA and Red Cross responders. You'll work through real-world case studies, clinical simulations, and assessment-ready practice modules designed to build confidence from day one.

Infection Prevention and Control in Healthcare

Prepare for professional certification with this evidence-based course. Infection control for healthcare settings covering hand hygiene, transmission-based precautions, sterilization, outbreak management, and healthcare-associated infection prevention. Features hands-on lab activities, patient interaction scenarios, and certification prep materials that mirror actual workplace demands.

Gerontology and Elder Care Essentials

Launch a meaningful career in healthcare with this comprehensive, expert-led course. Elder care training covering aging processes, geriatric assessments, dementia care, fall prevention, medication management, and quality of life for older adults. Created by healthcare professionals with decades of clinical and teaching experience, this course bridges the gap between classroom learning and real patient care.

Nursing Fundamentals Skills For Patient Care Excellence

Master essential nursing skills and clinical competencies required for providing excellent patient care. This comprehensive course covers fundamental nursing procedures, patient assessment, and best practices in healthcare delivery. Develop the foundational knowledge and hands-on abilities needed for success in nursing practice.

The Nurses Toolkit

Equip yourself with practical tools and resources essential for modern nursing practice. This course provides nurses with strategies for professional development, clinical decision-making, and career advancement in healthcare settings. Learn critical thinking approaches and evidence-based practices that enhance nursing effectiveness.

Nursing Assistant Essentials

Prepare for a career as a certified nursing assistant with comprehensive training on patient care fundamentals and clinical skills. This course covers patient hygiene, mobility assistance, vital signs, and communication essential for nursing support roles. Gain the knowledge and confidence needed to provide compassionate care and support healthcare teams.

Healthcare Career Explorer: Certified Nursing Assistant

Explore the certified nursing assistant career path and determine if nursing support is your ideal healthcare profession. This course provides an overview of CNA responsibilities, work environments, earning potential, and educational pathways. Discover what it takes to succeed in direct patient care roles and build foundational healthcare knowledge.

Introduction To Healthcare Management

Gain foundational knowledge in healthcare administration and management principles essential for healthcare professionals. This course covers organizational structures, healthcare systems, leadership, and strategic planning in medical settings. Develop skills to manage healthcare operations and lead teams in this growing industry.

Medical Administrative Assistants And Office Procedures

Master office procedures and administrative tasks essential for medical office success. This course covers scheduling, patient records management, billing basics, and communication protocols in healthcare settings. Prepare for a rewarding career supporting healthcare providers and managing efficient medical office operations.

Medical Administrative Assistants And The Healthcare Team

Learn how to collaborate effectively as a medical administrative professional within interdisciplinary healthcare teams. This course emphasizes teamwork, communication, and coordination among diverse healthcare providers and support staff. Develop essential soft skills for building positive relationships and supporting patient care initiatives.

Intro To Healthcare

Explore the fundamentals of the healthcare industry including systems, professions, and current challenges. This course provides a comprehensive introduction to healthcare delivery, payment models, and career opportunities. Perfect for anyone considering a healthcare career or seeking to understand the modern healthcare landscape.

Analytics In Healthcare Management And Administration

Apply data analytics and business intelligence to healthcare management and decision-making processes. This course teaches healthcare professionals to use data for performance improvement, financial analysis, and strategic planning. Master tools and techniques for measuring healthcare quality and operational efficiency.

CPB Coding Medical

Master medical coding fundamentals with Current Procedural Terminology (CPT) and ICD codes essential for healthcare billing. This course prepares you for certification exams and professional coding roles in medical offices and hospitals.

Medical Billing Coding Essentials

Learn the complete medical billing and coding workflow from patient registration to claims submission. Develop practical skills in insurance verification, code selection, and compliance requirements for healthcare revenue management.

Revenue Cycle Billing and Coding

Explore the complete healthcare revenue cycle from patient encounter through payment collection. Master billing, coding, claims management, and financial reporting processes that maximize healthcare facility profitability.

Error Free Healthcare Data Entry

Develop precision data entry skills critical for accurate patient records, billing, and clinical documentation. Learn quality assurance techniques, compliance standards, and best practices to minimize costly healthcare data errors.

Introduction to Certified Professional Biller

Begin your journey toward Certified Professional Biller (CPB) credential with comprehensive coverage of medical billing fundamentals, insurance systems, and coding integration. Prepare for professional certification and advance your healthcare career.

Pediatric Geriatric Phlebotomy and Cardiology Assisting

Master specialized phlebotomy and cardiac assisting techniques for vulnerable populations including pediatric and geriatric patients. Learn age-specific considerations, safety protocols, and patient communication strategies.

Advanced Clinical Decisions Emergency Care Training

Develop advanced clinical decision-making skills for emergency and critical care environments. Master rapid assessment, triage protocols, and evidence-based interventions for acute medical and trauma situations.

Forensic Science

Explore the science and methods behind criminal investigations through forensic analysis. Learn evidence collection, laboratory techniques, and scientific principles used to solve crimes and support the justice system.

Trauma Surgery Basics

Learn fundamental principles and techniques of trauma surgery for acute injury management. Master assessment, resuscitation, surgical approaches, and complications management for trauma patients.

Clinical Skills Introduction Patient Centered Care Training

Develop foundational clinical skills with emphasis on patient-centered care principles. Master communication, assessment, documentation, and interpersonal techniques essential for healthcare professionals.

Pharmacy Technician Essentials

Master the fundamental skills and knowledge required to work as a pharmacy technician in modern healthcare settings. Learn medication handling, pharmacy operations, and patient interaction principles essential for this critical healthcare role.

Pharmacy Dosages and Prescriptions Essentials

Develop expertise in pharmaceutical dosage calculations and prescription interpretation critical for pharmacy practice. Learn to accurately calculate doses, understand prescription terminology, and ensure medication safety.

Patient Care Technician Essentials

Develop core competencies for patient care technicians including vital signs monitoring, patient hygiene, and basic clinical skills. Learn communication techniques and safety protocols essential for patient-centered healthcare delivery.

Sanitation

Learn sanitation principles and practices critical for healthcare, food service, and facility management. Master contamination prevention, waste management, and cleaning protocols that ensure safe environments.

Prompt Engineering Generative AI & LLM Models Fundamentals

Learn the fundamentals of prompt engineering and how to work with LLM models effectively. This course introduces LLMs and their role within artificial intelligence and machine learning, covering design principles and practical applications.

Master Financial Analysis: AI-Driven Modeling & Forecasting

Become an AI-enabled financial analyst by mastering financial modeling, machine learning, and AI automation for modern finance roles. Learn to apply AI techniques to financial forecasting and analysis.

Designing Air Conditioning Systems and Heat Load Calculation

Learn professional HVAC system design principles and accurate heat load calculation methods essential for efficient air conditioning installations. Develop expertise in thermal analysis and system sizing for residential and commercial applications.

Air Conditioning Equipment Selection, Design, and Sizing

Master the selection and sizing of HVAC equipment for optimal performance and efficiency in climate control applications. Learn industry best practices for equipment specification, installation planning, and system commissioning.

Electrical Power Distribution

Learn electrical power distribution systems, grid infrastructure, and distribution network design principles essential for electrical professionals. Develop expertise in power flow analysis, equipment protection, and system reliability.

Electronics

Learn fundamental electronics principles including circuit analysis, components, and signal processing. This course covers semiconductor devices, amplifiers, and practical circuit design techniques essential for electrical engineering.

Motors Circuits Design

Master the design and control of electric motor circuits with practical applications in industrial automation. Learn motor types, drive systems, and circuit design methodologies for efficient power conversion.

Electric Power Systems

Explore the generation, transmission, and distribution of electrical power in modern grid systems. This course covers load flow analysis, fault analysis, and stability considerations for power system engineers.

Pipe Material Specification

Explore pipe materials, properties, and selection criteria for plumbing and industrial systems. Learn about metal, plastic, and composite pipes with emphasis on code compliance and system performance.

Deep Learning Specialization

Five-course specialization on deep learning architectures including CNNs, RNNs, and transformers, with practical projects in TensorFlow.

Machine Learning Specialization

Beginner-friendly three-course program covering supervised and unsupervised learning, neural networks, recommender systems, and best practices.

IBM AI Engineering Professional Certificate

Professional certificate covering ML algorithms, deep learning frameworks, and deployment workflows including Spark, Keras, PyTorch, and TensorFlow.

AI Infrastructure: Cloud TPU

Learn about AI infrastructure and Cloud TPU technology for machine learning workloads. This course covers the fundamentals of building scalable AI systems on cloud platforms.

Advanced Machine Learning on Google Cloud

This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.

Build and Modernize Applications With Generative AI

This learning path is for application developers who want to enhance their projects with the power of generative AI and accelerate their development workflow. From understanding the core concepts of Gemini, Google's advanced language model, to building end-to-end applications on Google Cloud, this path will guide you through essential techniques and tools. You'll learn how to leverage Gemini Code Assist to streamline your development process, whether you're working with the command-line interface, configuring it for your organization, or kicking off a new project. Finally, dive into hands-on labs to practice what you've learned and earn several skill badges.

Building No-Code Apps with AppSheet

This specialization first introduces you to the fundamentals of no-code application development and the capabilities offered by Google Cloud's no-code application development platform AppSheet. Learn to organize and manage app data, secure and customize apps, and integrate with external services. The courses in this specialization also include topics on managing and upgrading your app, improving app performance and troubleshooting. Recognize the need to implement business process automation, and use AppSheet’s automation capabilities to send notifications, generate reports and parse documents.

Creating Business Value with Data and Looker

This series of courses introduces data in the cloud and Looker to someone who would like to become a Looker Developer. It includes the background on how data is managed in the cloud and how it can be used to create value for an organization. You will then learn the skills you need as a Looker Developer to use the Looker Modeling Language (LookML) to empower your organization to conduct self-serve data exploration, analysis and visualization.

Data Analytics and Visualization

This learning path provides a comprehensive introduction to the data lifecycle, focusing on how to derive actionable insights using Google Cloud’s powerful analytics tools. Learners will progress from foundational cloud concepts to advanced data transformation with BigQuery and professional dashboarding in Looker Studio. By the end of this path, you will be able to ingest, clean, and visualize complex datasets to support data-driven decision-making.

Developing Applications with Google Cloud

In this specialization, you learn the fundamentals of application development on Google Cloud. Through a combination of presentations and hands-on labs, participants learn best practices for designing cloud applications, the use of service orchestration and choreography to coordinate microservices, and how to use Cloud Functions to develop single-purpose functions that process events within your cloud infrastructure. This class is intended for application developers, architects, and cloud engineers who want to build new cloud applications or redesign existing applications to run on Google Cloud. This course teaches participants the following skills: Understand how to choose the appropriate data storage option for application use cases. Use authentication and authorization to secure an application. Describe use cases for the different Google Cloud compute options for running applications. Describe the benefits and challenges of microservice-based architectures. Describe the advantages of event-driven applications. Identify the strengths of orchestration and choreography. Use Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler to coordinate a microservices application on Google Cloud. Recognize the benefits of and use cases for Cloud Functions in modern application development. Understand how to build, test, and deploy Cloud Functions. Secure and connect Cloud Functions to resources and cloud databases. Use best practices with Cloud Functions.

Digital Transformation Using AI/ML with Google Cloud

This series of courses begins by introducing fundamental Google Cloud concepts to lay the foundation for how businesses use data, machine learning (ML), and artificial intelligence (AI) to transform their business models. The specialization is intended for anyone interested in how the use of AI and ML for the cloud, and especially for data, creates opportunities and requires change for businesses. No previous experience with ML, programming, or cloud technologies is required. The courses do not include any hands-on technical training.

Gemini for Developers

Become an AI Application Developer capable of engineering sophisticated systems that can think, search, and act autonomously to solve complex real-world challenges. This specialization provides a comprehensive look into the Google Gemini ecosystem. You will use the Gemini API’s most advanced features, including model thinking parameters for transparent reasoning, grounding with Google Search, and structured output with JSON Schema. Throughout the courses, you will progress from basic text generation to building functional AI agents and autonomous processors. You will utilize Google AI Studio for rapid prototyping and experiment with model parameters before deploying production-ready applications directly to Cloud Run. You’ll also learn to orchestrate complex tasks using function calling to connect Gemini to external tools and data. Upon completion, you’ll be able to: Build and deploy multi-capability AI agents using the Gemini API, function calling, and built-in tools. Implement cost-effective applications by strategically mastering model selection between Gemini Pro and Flash. Architect reliable systems that use structured JSON output and "thinking" to ensure high-quality, parseable results. Prerequisites: The specialization is designed for developers and engineers who have a background in object-oriented programming (Python or JavaScript) and fundamental API usage/REST concepts. You'll also need to be comfortable writing and debugging code.

Gemini in BigQuery

This learning path provides a journey into leveraging Gemini within BigQuery for advanced data and AI workflows. Starting with foundational productivity enhancements, it progresses to building generative AI applications and culminates in mastering Retrieval Augmented Generation to mitigate AI inaccuracies. By completing this path, learners will gain practical skills in utilizing Gemini to streamline data processes, create innovative AI solutions, and ensure reliable AI outputs within the BigQuery environment.

Google Cloud Database Engineer

A Database Engineer designs, creates, manages, migrates, and troubleshoots databases used by applications to store and retrieve data. This learning path guides you through a curated collection of on-demand courses, labs, and skill badges that provide you with real-world, hands-on experience using Google Cloud technologies essential to the Database Engineer role. Once you complete the path, check out our catalog for 700+ labs and courses to keep going on your professional journey.

Google Data Analysis with Python

In today's data-driven world, Python is an essential tool for unlocking insights. This Specialization will guide you from a Python beginner to someone who can confidently apply Python to solve complex data problems. You'll gain hands-on experience with core Python syntax, data structures, and essential libraries like NumPy and pandas. Google experts will guide you through this Specialization by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your career. You will learn to: Frame analysis problems using structured thinking and SMART questions Write efficient Python code in Jupyter Notebooks, mastering variables, functions, and data structures Manipulate and analyze datasets with pandas and NumPy, learning to filter, group, and aggregate data Clean and prepare real-world data, handling missing values and validating data quality Summarize and interpret data using descriptive statistics to support business decisions By the time you're finished, you'll be able to confidently apply Python to solve complex data problems and communicate your findings to stakeholders.

Google Network Security

In today's interconnected world, network security is more critical than ever. This Specialization from Google provides you with foundational knowledge of how networks function and how to protect them from attacks. You’ll dive into core concepts like network architecture, protocols, and how to defend against modern cyber threats. You’ll also learn how to utilize powerful tools such as Wireshark, tcpdump, Splunk, and Google SecOps. Google experts will guide you through this Specialization by providing hands-on activities that simulate relevant tasks, teaching you how to: Configure network addresses and understand how data travels through the network Read and interpret network traffic flows to identify suspicious activity Configure network services and understand the difference between a VPN and a proxy Troubleshoot connectivity issues and fix them quickly Harden systems and conduct a basic incident response process Upon completion, you’ll be able to analyze network traffic, recognize common vulnerabilities, and implement strategies to secure both traditional networks and cloud environments.

Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs

In this Google Cloud Labs Specialization, you'll receive hands-on experience building and practicing skills in BigQuery and Cloud Data Fusion. You will start learning the basics of BigQuery, building and optimizing warehouses, and then get hands-on practice on the more advanced data integration features available in Cloud Data Fusion. Learning will take place leveraging Google Cloud's Qwiklab platform where you will have the virtual environment and resources need to complete each lab. This specialization is broken up into 4 courses comprised of a series of courses: BigQuery Basics for Data Analysts Build and Optimize Data Warehouses with BigQuery Building Advanced Codeless Pipelines on Cloud Data Fusion Data Science on Google Cloud: Machine Learning You will even be able to earn a Skills Badge in one of these lab-based courses.

Machine Learning for Trading

This 3-course Specialization from Google Cloud and New York Institute of Finance (NYIF) is for finance professionals, including but not limited to hedge fund traders, analysts, day traders, those involved in investment management or portfolio management, and anyone interested in gaining greater knowledge of how to construct effective trading strategies using Machine Learning (ML) and Python. Alternatively, this program can be for Machine Learning professionals who seek to apply their craft to quantitative trading strategies. By the end of the Specialization, you'll understand how to use the capabilities of Google Cloud to develop and deploy serverless, scalable, deep learning, and reinforcement learning models to create trading strategies that can update and train themselves. As a challenge, you're invited to apply the concepts of Reinforcement Learning to use cases in Trading. This program is intended for those who have an understanding of the foundations of Machine Learning at an intermediate level. To successfully complete the exercises within the program, you should have advanced competency in Python programming and familiarity with pertinent libraries for Machine Learning, such as Scikit-Learn, StatsModels, and Pandas; a solid background in ML and statistics (including regression, classification, and basic statistical concepts) and basic knowledge of financial markets (equities, bonds, derivatives, market structure, and hedging). Experience with SQL is recommended.

Machine Learning Operations (MLOps) on Google Cloud

This learning path is designed for data scientists and ML engineers looking to bridge the gap between machine learning prototypes and production-ready systems on Google Cloud. Learners will explore the full MLOps lifecycle, including feature management with Vertex AI Feature Store, robust model evaluation for predictive and generative AI, and the orchestration of automated workflows. The path concludes with advanced training on building production-grade pipelines using the Kubeflow SDK, Google Cloud components, and AI-driven development with the Data Science Agent.

Managing Google Cloud's Apigee API Platform for Hybrid Cloud

In this specialization, you will learn the Apigee hybrid architecture, and develop an understanding of the Apigee hybrid terminology and organizational model. You will install Apigee hybrid, and implement scenarios to manage, scale, and monitor the software components that make up the hybrid platform. By completing this specialization, you will help accelerate customer time to value, minimize customer dependency on PSO and support for Apigee hybrid, and enable customers to scale up the platform as their API programs grow.

Preparing for Google Cloud Certification: Cloud Engineer

Cloud Engineer plans, configures, sets up, and deploys cloud solutions. This specialization provides the practical skills required for this role, preparing you to successfully manage enterprise solutions on Google Cloud. You will gain real-world, applied experience with Google Cloud technologies. This specialization focuses on the essential skills for the Cloud Engineering role, from infrastructure setup to application deployment.

Professional Cloud Architect Part 1: Infra & Network

The Professional Cloud Architect curriculum has been split into two targeted parts to provide a more focused learning experience. This specialization (Part 1) has been updated to prioritize deep-dive infrastructure and networking. We have replaced general networking overviews with three specialized courses covering Network Architecture, Hybrid/Multicloud, and the Network Intelligence Center. Implementation-heavy topics like GKE and specific exam-prep modules have been moved to Part 2 to ensure a logical progression from architectural design to operational engineering. This is Part 1 of a two-part series designed to prepare you for the Professional Cloud Architect certification. Part 1 focuses on the design and architecture of infrastructure and global networks, while Part 2 covers application modernization, observability, and final exam preparation. Please note that taking both parts is not required for general learning; however, completing both is highly recommended if you are planning on taking the Professional Cloud Architect certification exam.

Professional Cloud Architect Part 2: AI, Security, & Ops

This learning path explores the advanced pillars of the Google Cloud Professional Cloud Architect certification. It covers infrastructure automation with Terraform, comprehensive security management, and scaling modern workloads with GKE and Cloud Run. You will also learn to integrate AI/ML and data engineering capabilities while mastering the observability tools required to ensure enterprise-grade reliability.

Responsible AI for Developers

This specialization equips developers with the essential knowledge and skills to build responsible AI systems by applying best practices of Fairness, Interpretability, Transparency, Privacy, and Safety. Throughout the courses, you will learn how to: Identify and Mitigate Bias: Learn to recognize and address potential biases in your machine learning models to mitigate fairness issues. Apply Interpretability Techniques: Gain practical techniques to interpret complex AI models and explain their predictions using Google Cloud and open source tools. Prioritize Privacy and Security: Implement privacy-enhancing technologies like differential privacy and federated learning to protect sensitive data and build trust. Ensure Generative AI Safety: Understand and apply safety measures to mitigate risks associated with generative AI models. By the end of this specialization, you will have a comprehensive understanding of responsible AI principles and the practical skills to build AI systems that are ethical, reliable, and beneficial to users.

Security & Compliance on Google Cloud

This learning path is designed for security professionals and cloud architects aiming to master the Google Cloud security ecosystem. Learners will progress from foundational AI security frameworks (SAIF) and autonomic security operations to the management of vulnerabilities and risks, focusing on high-impact security operations use cases within Security Command Center. The path concludes with a deep dive into Google SecOps, equipping students to engineer advanced detection rules (SIEM) and automate incident response (SOAR).

Vertex AI Search for Retail

This learning path will showcase the skills needed to build dataflows, initial machine learning patterns and utilization of Vertex AI Search for Retail in pursuit of increased retail search potential. The learning path includes courses and labs that will let a learner work in the data space surrounding Vertex AI Search for Retail and then get hands on to practice with the product itself.

Accelerate App Development with Gemini CLI

"This course is designed for app developers and DevOps engineers who want to work smarter by using Gemini CLI, a generative AI agent made for the terminal and powered by Gemini. This course discusses Gemini CLI installation and configuration, and introduces use cases and security best practices. It explains commands, tools, MCP servers, and extensions.

APIs Explorer: Create and Update a Cluster

This is a self-paced lab that takes place in the Google Cloud console. In this lab you’ll learn how to use an inline Google APIs Explorer template to call the Cloud Dataproc API to create a cluster, run a simple Spark job in the cluster, and update the cluster.

Attention Mechanism

This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering.

Automate Cybersecurity Tasks with Python

This is the seventh course in the Google Cybersecurity Certificate. In this course, learners will be introduced to the Python programming language and learn how to apply it to a security setting to automate tasks. First, learners will focus on key foundational Python programming concepts, including data types, variables, conditional statements and iterative statements. Next, they will learn to work effectively with Python by developing functions, using libraries and modules, and making their code readable. Following this, they will explore working with string and list data. A final component of learning to automate tasks through Python will be an exploration of how to import and parse files, and then the course will conclude with a focus on debugging. By the end of this course, you will: - Explain how the Python programming language is used in cybersecurity. - Write conditional and iterative statements in Python. - Create new, user-defined Python functions. - Use Python to work with strings and lists. - Use regular expressions to extract information from text. - Use Python to open and read the contents of a file. - Identify best practices to improve code readability. - Practice debugging code.

Automating the Deployment of Networks with Terraform

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you create a Terraform configuration with a module to automate the deployment of a custom network with resources.

Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

This is a self-paced lab that takes place in the Google Cloud console. AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).

BigQuery Fundamentals for Redshift Professionals

This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Redshift and want to begin working in BigQuery. Through interactive lecture content and hands-on labs, you learn how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery. Drawing upon your knowledge of Redshift, you also learn about similarities and differences between Redshift and BigQuery to help you get started with data warehouses in BigQuery.

Build a Certification Study Guide: PCDOE Exam Prep

Learn how to use Gemini Notebook to create a personalized study guide for the Professional Cloud DevOps Engineer certification exam. You'll review Gemini Notebook features, add source materials, and use effective prompts to create a study guide that helps you prepare for the exam.

Build AI Agents with Enterprise Databases

Build AI agents that can leverage enterprise databases using the MCP Toolbox for Databases. You will define secure database interaction tools, and implement intelligent querying capabilities (leveraging vector embeddings, structured queries).

Build an application to send Chat Prompts using the Gemini model

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use Google's Vertex AI SDK to interact with the powerful Gemini generative AI model, enabling you to send text based chat prompts as an input and receive personalized streaming and non-streaming chat responses.

Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.

Build Streaming Data Pipelines on Google Cloud

In this course you will get hands-on in order to work through real-world challenges faced when building streaming data pipelines. The primary focus is on managing continuous, unbounded data with Google Cloud products.

Check Point: Next-Gen Data Center Security CloudGuard for Google Cloud

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to deploy a basic day-to-day scenario with CloudGuard in place

Cisco: SD-WAN Cloud Hub with Google Cloud

This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you will learn how to leverage Google Service Directory and Cisco SD-WAN to optimize the performance of a video streaming application.

Clean Up Unused and Orphaned Persistent Disks

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will schedule a Cloud Function to identify and clean up unused and orphaned persistent disks.

Cloud Security Risks: Identify and Protect Against Threats

Two courses down, three to go – you’re well on your way! This is the third course of the Google Cloud Cybersecurity Certificate. You’ll delve into the key aspects of identity management and access control in cloud computing, including security principles like least-privilege and separation-of-duties, and the crucial elements of AAA: authentication, authorization, and auditing. AAAnd…let’s go to it! ← See what we did there?!

Cloud Spanner - Loading Data and Performing Backups

This is a self-paced lab that takes place in the Google Cloud console. In this lab you explore various ways to load data into Cloud Spanner as well as perform a backup of your database.

Computer Vision Fundamentals with Google Cloud

This course describes different types of computer vision use cases and then highlights different machine learning strategies for solving these use cases. The strategies vary from experimenting with pre-built ML models through pre-built ML APIs and AutoML Vision to building custom image classifiers using linear models, deep neural network (DNN) models or convolutional neural network (CNN) models. The course shows how to improve a model's accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting the data. The course also looks at practical issues that arise, for example, when one doesn't have enough data and how to incorporate the latest research findings into different models. Learners will get hands-on practice building and optimizing their own image classification models on a variety of public datasets in the labs they will work on.

Configuring IAM Permissions with gcloud

This is a self-paced lab that takes place in the Google Cloud console. In this lab introduces you will use the gcloud CLI tool to set up and configure command features of Cloud Identity and Access Management.

Configuring Networks via gcloud

This is a self-paced lab that takes place in the Google Cloud console. In this lab you use the gcloud command line to create VPC networks, subnets, and VM instances, then test connectivity.

Connect an App to a Cloud SQL for PostgreSQL Instance

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will create a Kubernetes cluster and deploy a simple application to that cluster. Then, connect the application to the supplied Cloud SQL for PostgreSQL database instance and confirm that it is able to write to and read from it.

Consuming Customer Specific Datasets from Data Sharing Partners using BigQuery

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to create Data Twins for customers on Google Cloud or a different cloud service provider.

Create an Internal Load Balancer

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you create two managed instance groups in the same region. Then, you configure an Internal Load Balancer with the instances groups as the backends.

Create Embeddings, Vector Search, and RAG with BigQuery

This course explores a Retrieval Augmented Generation (RAG) solution in BigQuery to mitigate AI hallucinations. It introduces a RAG workflow that encompasses creating embeddings, searching a vector space, and generating improved answers. The course explains the conceptual reasons behind these steps and their practical implementation with BigQuery. By the end of the course, learners will be able to build a RAG pipeline using BigQuery and generative AI models like Gemini and embedding models to address their own AI hallucination use cases.

Creating a Looker Modeled Query and Working with Quick Start

This is a self-paced lab that takes place in the Google Cloud console. Looker provides the ability for LookML developers to build modeled queries that help all Looker business users quickly get started and easily explore data in the platform. This three-task lab will provide you with practical, hands-on experience using the query parameter to create a modeled query for an Explore. The modeled query is listed in the Quick Start section of a blank Explore. Modeled queries are extremely helpful to Looker business users, since you can specify elements like the dimensions, measures, filters, and pivots that may be the most relevant and insightful. In this lab you will learn how to create a modeled query, which can be a helpful starting point for users who are new to Looker and learning how to query data.

Creating dynamic SQL derived tables with LookML and Liquid

This is a Google Cloud Self-Paced Lab. In this lab you will learn how to create and update SQL derived tables to generate dynamic values.

Creating Measures and Dimensions Using LookML

This is a Google Cloud Self-Paced Lab. In this lab, you will build dimensions and measures and practice these features in LookML to learn different types of dimensions and measures Looker supports.

Creating Tile-based Dashboard Alerts in Looker

This is a self-paced lab that takes place in the Google Cloud console.In this lab, you learn how to create and modify tile-based dashboard alerts in Looker.

Data Analysis with the FraudFinder Workshop

This is a self-paced lab that takes place in the Google Cloud console. FraudFinder is a series of JupyterLabs that show how to implement an end-to-end Data to AI architecture works on Google Cloud, through a toy use case of real-time fraud detection system.

Data Management and Storage in the Cloud

Hi again! This is the second course of the Google Cloud Data Analytics Certificate. Get cozy with the key components of data governance, normalized and star schemas, data catalogs, and data lakehouse architecture.

Data Structures in Python

In this course, you’ll explore data structures in Python, which are methods of storing and organizing data in a computer. You’ll focus on data structures that are among the most useful for data professionals: lists, tuples, dictionaries, sets, and arrays. You’ll also discover how to categorize data using data loading, cleaning, and binning. Lastly, you’ll learn about two of the most widely used and important Python tools for advanced data analysis: NumPy and pandas. By the end of this course, you will be able to: • Explain how to manipulate dataframes using techniques such as selecting and indexing, boolean masking, grouping and aggregating, and merging and joining • Describe the main features and methods of core pandas data structures such as dataframes • Describe the main features and methods of core NumPy data structures such as arrays and series • Define Python tools such as libraries, packages, modules, and global variables • Describe the main features and methods of built-in Python data structures such as lists, tuples, dictionaries, and sets

Debugging Apps on Google Kubernetes Engine

This is a self-paced lab that takes place in the Google Cloud console. This lab teaches you how logging works on GKE and some best practices for log collection by going through some common logging use cases.

Deploy a Streamlit App Integrated with Gemini Pro on Cloud Run

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to deploy a Streamlit app integrated with Gemini Pro on Cloud Run.

Deploy and Test a Visual Inspection AI Cosmetic Anomaly Detection Solution

This is a self-paced lab that takes place in the Google Cloud console. Deploy and test a visual inspection AI cosmetic anomaly detection solution.

Deploying a Fault-Tolerant Microsoft Active Directory Environment

This is a self-paced lab that takes place in the Google Cloud console. In this Qwiklab, you set up a redundant pair of Windows Domain Controllers (DC) with AD using a new Virtual Private Cloud (VPC) network and multiple subnets on Google Cloud Platform (GCP).

Deploying a Python Flask Web Application to App Engine Flexible

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use App Engine Flexible with Python’s Flask framework. You’ll deploy a web application that allows users to upload photos of people’s faces and do simple facial recognition with the Cloud Vision API.

Detect, Respond, and Recover from Cloud Cybersecurity Attacks

Wow, you’re already on the fourth course of the Google Cloud Cybersecurity Certificate. Sharpen your security senses as you learn about log retention policies, intrusion detection and prevention systems, and the intricacies of monitoring and alerts. Learn how to effectively manage and respond to security incidents through business continuity and disaster recovery. Happy learning!

Develop Code with Gemini in BigQuery

This is a self-paced lab that takes place in the Google Cloud console. In this lab you learn how to use Gemini code generation, explanation and suggestions in BigQuery.

Developing Applications with Cloud Run Functions on Google Cloud

In this course, you learn about Cloud Run functions, Google's serverless, fully-managed functions as a service (FaaS) product that lets you implement single-purpose function code that reponds to HTTP requests and events from your cloud infrastructure.

Certified Nursing Assistant (CNA) Training

Launch a meaningful career in healthcare with this comprehensive, expert-led course. Training to become a certified nursing assistant. Covers patient care fundamentals, vital signs monitoring, infection control, and clinical skills needed for healthcare facilities. Created by healthcare professionals with decades of clinical and teaching experience, this course bridges the gap between classroom learning and real patient care.

Nutrition Science and Healthy Living

Launch a meaningful career in healthcare with this comprehensive, expert-led course. Evidence-based nutrition education covering macronutrients, micronutrients, meal planning, sports nutrition, and dietary assessment for health professionals. Created by healthcare professionals with decades of clinical and teaching experience, this course bridges the gap between classroom learning and real patient care.

Pharmacy Technician Professional Certificate

Develop essential healthcare competencies in this rigorous yet accessible course. Pharmacy technician preparation covering pharmacology fundamentals, prescription processing, medication safety, inventory management, and PTCB exam preparation. Covers current industry standards, regulatory requirements, and best practices - giving you the edge employers look for in new hires.

Occupational Therapy Assistant Foundations

Develop essential healthcare competencies in this rigorous yet accessible course. Occupational therapy foundations covering therapeutic activities, patient assessment, adaptive equipment, rehabilitation techniques, and documentation for clinical settings. Covers current industry standards, regulatory requirements, and best practices - giving you the edge employers look for in new hires.

Sports Medicine and Athletic Training

Gain practical, patient-centered training through this industry-aligned course. Sports medicine covering injury prevention, acute injury management, rehabilitation exercises, taping and bracing, concussion protocols, and return-to-play guidelines. You'll work through real-world case studies, clinical simulations, and assessment-ready practice modules designed to build confidence from day one.

Veterinary Medicine for Animals: Small Animal

Develop essential healthcare competencies in this rigorous yet accessible course. Small animal veterinary science covering canine and feline health, common diseases, physical examination, vaccination protocols, and pet owner communication. Covers current industry standards, regulatory requirements, and best practices - giving you the edge employers look for in new hires.

AI for Marketing Specialization (Emory University)

acquisition, retention

Artificial Intelligence in Marketing (UVA Darden)

Artificial Intelligence in Marketing (UVA Darden) - comprehensive ai marketing & growth course on Coursera.

What Can AI Do for Marketing? (Emory)

AI opportunity identification + bias

AI For Business Specialization

A comprehensive specialization teaching how artificial intelligence and machine learning can provide game-changing solutions to business challenges. Covers AI algorithms and their applications in business contexts.

Master Financial Analysis & Modeling Fundamentals

Master financial analysis and modeling with applications of AI and machine learning for financial forecasting. Learn to build predictive models and analyze financial data effectively.

AI Applications in People Management

This course explores the practical applications of AI in human resources and people management. Learn how to leverage AI tools to optimize recruitment, employee development, and organizational decision-making.

Accelerate Your Job Search with AI

Welcome to Accelerate Your Job Search with AI. This Specialization was designed by experts at Google and informed by employers, workforce nonprofits, and educational institutions, to help you navigate your path to your next role more efficiently and confidently. No matter where you are on your job search journey—whether you're just starting out, seeking a new challenge, or ready for your next career move—this program is for everyone. You’ll get practical job search strategies and learn how to leverage AI tools (like Gemini and Gemini Notebook) to uncover your most valuable skills, create a job search plan, manage your applications, and practice for interviews. You’ll walk away with a personalized job search portfolio to help you stand out to employers, including a resume, career identity statement, job search plan tracker, and more. No previous AI experience is required.

Google Workspace with Gemini

Google Workspace with Gemini provides customers with generative AI features in Google Workspace. In this learning path, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace. This specialization introduces learners to the generative AI features of Google Workspace with Gemini. Using a combination of presentations and hands-on activities, you learn about the key features of Gemini including how to: Write and refine a draft in Docs. Draft and refine emails in Gmail. Generate custom visuals in Slides. Create a project tracker in Sheets. Express yourself on calls in Meet. Summarize files, search for content, and synthesize information.

AI for Data Analysis

Are the answers you need buried in a dataset you can't decipher? In this course, you’ll learn to use AI as your analytical partner to transform unstructured data into clear, actionable insights. You’ll use Gemini to identify the right success metrics for any project and practice converting messy, raw data into structured tables. You'll use everyday language to generate powerful spreadsheet formulas and create compelling charts in Google Sheets—empowering you to make smarter, data-driven decisions. By the end of this course, you will create: • Success metrics you can stand by: Use Gemini to define exactly what to measure for your project so you can present your results with confidence. • A structured dataset: Clean and organize messy information into a structured Google Sheets table that is ready for immediate analysis. • Data visualizations and formulas: Use natural language to generate spreadsheet functions and create charts that visualize your findings to drive evidence-based decisions. • Business performance simulator: Use Gemini Canvas to transform static data into an interactive tool, so you can "test-drive" changes and visualize their ripple effects in real time.

AI for Writing and Communicating

Spending too much time writing, editing and refining your communications? In this course, you’ll learn how to use AI as your writing partner to turn rough notes into polished messages that achieve greater clarity and influence at work. You'll start by using Gemini in Google Meet to transform raw transcripts into organized reports. Next, you'll enhance your work by prompting Gemini to provide feedback from different perspectives. Finally, save time by using Gemini Canvas to adapt your writing for various groups and Gemini Live to practice your talking points. By the end of this course, you will create: • An action plan: Use Gemini in Meet to capture meeting notes and key decisions, then transform them into a shareable report with clear next steps. • A stakeholder cheat sheet: Prompt Gemini to simulate a stakeholder’s perspective to help you identify gaps in your work and prepare for high-stakes reviews. • Tailored communications: Use Gemini Canvas to quickly transform one document into multiple formats, such as a formal memo for leadership and a brief update for your team. • A polished pitch: Practice your talking points with Gemini Live to get instant feedback and improve your delivery for important conversations, like a sales pitch or formal feedback.

Residential Electrical Systems Design

Develop professional-grade competencies through real-world exercises in this course. Residential electrical design including service entrance calculations, branch circuit layout, lighting design, and code-compliant wiring methods for homes. Covers tool mastery, blueprint reading, and industry best practices used by professionals earning top wages in the trades.

Advanced Welding Techniques and Metallurgy

Master the hands-on skills that power America's infrastructure in this practical, project-driven course. Advanced welding course covering MIG, TIG, stick welding, plasma cutting, welding metallurgy, blueprint reading, and AWS certification preparation. Designed to prepare you for licensing exams and immediate employment - with the practical skills that set journeymen apart from apprentices.

Construction Project Management Fundamentals

Master the hands-on skills that power America's infrastructure in this practical, project-driven course. Project management for construction covering scheduling, cost estimation, blueprint reading, safety compliance (OSHA), quality control, and contract administration. Designed to prepare you for licensing exams and immediate employment - with the practical skills that set journeymen apart from apprentices.

Hybrid and Electric Vehicle Technology

Build job-ready skills that employers actually hire for in this industry-standard course. Modern EV and hybrid vehicle technology covering battery systems, electric motors, regenerative braking, charging infrastructure, and high-voltage safety procedures. Combines technical theory with hands-on exercises that mirror actual work conditions. Includes detailed demonstrations, safety protocols, and real-world project walkthroughs that mirror actual job site conditions.

Disaster Preparedness and Emergency Management

Prepare to save lives and protect communities with this critical, scenario-driven course. Emergency management education covering all-hazards planning, incident command system (ICS), community resilience, and post-disaster recovery operations. Created by veterans of emergency services - instructors who have responded to the calls and know what it takes to succeed.

Law Enforcement Foundations & Criminal Justice

Gain the specialized training that first responders need to perform under pressure in this course. Criminal justice fundamentals covering law enforcement procedures, constitutional law, community policing, investigations, and use-of-force decision-making frameworks. Features incident command system training, communication protocols, and leadership exercises that mirror real emergency operations.

Advanced First Aid and Wilderness Medicine

Prepare to save lives and protect communities with this critical, scenario-driven course. Advanced first aid for remote and wilderness settings. Covers wound management, fracture splinting, environmental emergencies, improvised medicine, and patient evacuation. Created by veterans of emergency services - instructors who have responded to the calls and know what it takes to succeed.

Environmental Health and Safety (EHS) Management

Gain the specialized training that first responders need to perform under pressure in this course. EHS management covering industrial hygiene, environmental compliance, waste management, workplace ergonomics, and ISO 14001 environmental management system implementation. Features incident command system training, communication protocols, and leadership exercises that mirror real emergency operations.

Conflict Resolution and Crisis Negotiation

Develop the split-second decision-making skills that separate professionals from beginners in this intensive course. Crisis negotiation and conflict resolution covering de-escalation techniques, hostage negotiation principles, mediation, and communication under high-stress situations. Integrates physical skills training with mental preparedness and stress management, preparing you for the realities of the job.

Search and Rescue Operations

Master the emergency response protocols that departments across the country rely on in this course. Search and rescue fundamentals covering grid search techniques, tracking, navigation, rope rescue, swiftwater operations, and incident management for SAR teams. Covers current NFPA, OSHA, and FEMA standards with practical application exercises that build muscle memory and confidence.

Emergency Dispatch and 911 Operations

Build the foundation for a rewarding career in public safety through this rigorous course. Emergency dispatch training covering call-taking protocols, CAD systems, priority dispatch, radio communications, and stress management for 911 telecommunicators. Includes realistic scenario training, protocol drills, and certification preparation designed by active-duty professionals.

AI Marketing Mastery Specialization

LearnKartS, freelance + digital products

Generative AI Prompt Engineering For Everyone

Master the art of crafting effective prompts for generative AI models to unlock their full potential. Learn practical techniques and best practices for interacting with large language models across various applications. Perfect for beginners who want to leverage AI tools without deep technical knowledge.

Google Introduction to AI

Get started with artificial intelligence fundamentals taught by Google experts. Explore core AI concepts, machine learning basics, and real-world applications through interactive lessons. Ideal for anyone looking to understand how AI is transforming technology and business.

Fundamentals of Machine Learning and Artificial Intelligence

Build a strong foundation in machine learning and AI with comprehensive coverage of algorithms, models, and practical implementations. Learn supervised and unsupervised learning techniques with hands-on projects. Perfect for aspiring data scientists and AI professionals.

Machine Learning with Python

Learn machine learning using Python, the industry-standard language for data science and AI. Work with popular libraries like scikit-learn, TensorFlow, and pandas to build practical ML models. Ideal for intermediate programmers wanting to enter the machine learning field.

Machine Learning

This comprehensive machine learning course covers algorithms, optimization, and practical implementations with extensive hands-on projects. Master both classical ML and modern deep learning approaches used in industry. One of the most popular and highly-rated ML courses globally.

Apply AI & Machine Learning to Financial Forecasting

Discover how to leverage AI and machine learning for accurate financial forecasting and stock prediction. Learn practical techniques for time-series analysis, model selection, and risk assessment. Perfect for finance professionals and traders looking to enhance decision-making with AI.

Python for Applied Data Science & AI

Master Python programming for data science and AI applications with practical examples and projects. Learn essential libraries like NumPy, pandas, and scikit-learn for data manipulation and analysis. Perfect foundation for anyone entering the data science or AI field.

Neural Networks & Deep Learning

Dive into the fundamentals of neural networks and deep learning with mathematical foundations and practical implementations. Learn about activation functions, backpropagation, and optimization techniques. First course in Andrew Ng's Deep Learning Specialization.

Introduction to Deep Learning with Keras

Get started with deep learning using Keras, the user-friendly Python library for building neural networks. Learn to build, train, and deploy deep learning models with practical hands-on exercises. Ideal for beginners wanting to apply deep learning without complex math.

Advanced Deep Learning with PyTorch

Master advanced deep learning techniques using PyTorch, the preferred framework for research and production ML. Build sophisticated models including attention mechanisms, transformers, and GANs. Ideal for experienced practitioners wanting to advance their deep learning skills.

Illinois Tech Deep Learning

Master deep learning fundamentals and neural network architectures through comprehensive coursework. Learn to build and train deep learning models for real-world applications using modern frameworks and techniques.

Prompt Engineering

Master the art and science of crafting effective prompts for large language models. Learn strategies to optimize outputs, reduce hallucinations, and unlock the full potential of generative AI systems.

Introduction to Large Language Models

Explore the foundations of large language models and how they revolutionize natural language processing. Understand transformer architecture, training methodologies, and practical applications of LLMs.

Generative AI and Large Language Models

Comprehensive introduction to generative AI technologies and large language models, covering architecture, training, and deployment. Learn to build and deploy LLM applications at scale.

Fine-Tuning and Optimizing Large Language Models

Master advanced techniques for fine-tuning and optimizing large language models for specific domains and tasks. Learn efficiency techniques, parameter reduction, and performance optimization.

Designing Production LLM Architectures

Learn to design and deploy scalable LLM systems for production environments. Cover system architecture, performance optimization, cost management, and reliability considerations.

Generative AI Introduction and Applications

Discover how generative AI is transforming industries with practical applications across business, creativity, and innovation. Explore real-world use cases and implementation strategies.

Generative AI for Everyone

An accessible introduction to generative AI for non-technical audiences. Learn what generative AI can do, how it works at a high level, and how to use it effectively in your work.

Generative AI Content Creation

Master using generative AI for content creation across text, images, and multimedia formats. Learn tools and techniques to enhance creativity and streamline content production workflows.

OpenAI Custom GPTs

Learn to build custom GPT models tailored to specific needs and domains using OpenAI's tools. Master configuration, training, and deployment of specialized AI assistants.

Build AI Apps With ChatGPT, DALLE, and GPT-4

Learn to build intelligent applications leveraging ChatGPT, DALLE, and GPT-4 APIs. This hands-on course covers practical implementation of state-of-the-art generative models for real-world applications. Master integration techniques and best practices for deploying AI-powered features.

Write Prompts Like A Pro

Master the art of prompt writing with expert techniques from Google. Learn to craft effective prompts that yield high-quality responses from generative AI models. This course covers prompt structure, optimization strategies, and real-world applications.

Essentials Of Prompt Engineering

Explore fundamental concepts and techniques in prompt engineering. Learn how to design prompts that effectively communicate with large language models and achieve desired outputs. Covers best practices, common pitfalls, and practical applications.

Advanced Prompt Engineering For Everyone

Advance your prompt engineering skills with advanced techniques and strategies. Learn chain-of-thought prompting, few-shot learning, and prompt optimization methods. Master advanced applications for complex AI tasks and system design.

Deep Neural Networks With PyTorch

Build and train deep neural networks using PyTorch, one of the most popular deep learning frameworks. Learn architecture design, training techniques, and optimization methods for modern AI applications. Master hands-on implementation through practical projects.

Convolutional Neural Networks

Master convolutional neural networks for image processing and computer vision tasks. Learn CNN architecture, convolution operations, pooling, and application to real-world problems. Explore pre-trained models and transfer learning techniques.

Apply Neural Networks For Car Price Prediction

Build a practical neural network model to predict car prices using real-world data. Learn data preprocessing, feature engineering, model design, and evaluation. This project-based course demonstrates end-to-end machine learning workflow.

Fundamentals Of Natural Language Processing

Learn the core concepts and techniques of natural language processing. Cover tokenization, text preprocessing, word embeddings, and fundamental NLP algorithms. Build understanding of how machines process and understand human language.

Create Chatbots and NLP Apps

Build intelligent chatbots and NLP applications from scratch. Learn chatbot architecture, dialogue systems, intent recognition, and entity extraction. Apply NLP techniques to create conversational AI that understands and responds to user input.

Natural Language Processing Essentials

Master essential NLP skills and techniques for text processing and analysis. Cover sentiment analysis, classification, sequence models, and practical applications. Learn best practices for building robust NLP systems.

AI For Medical Diagnosis

Learn how to apply artificial intelligence and deep learning techniques to medical imaging and diagnostic tasks. This course covers practical implementations of AI systems for healthcare professionals, including image analysis, disease detection, and clinical decision support.

Generative AI For Cybersecurity Professionals

Explore the intersection of generative AI and cybersecurity to enhance threat detection, incident response, and security automation. This course equips security professionals with practical skills to leverage AI tools for vulnerability assessment and defensive strategies.

AI Infrastructure and Cloud GPUs

Master the fundamentals of building and managing AI infrastructure using cloud-based GPU resources. Learn how to optimize computational performance, scale AI workloads, and implement efficient model training and deployment pipelines.

Build Intelligent Agents Using DeepSeek and N8N Workflows

Create autonomous intelligent agents by combining DeepSeek models with N8N workflow automation tools. This practical course teaches you to build sophisticated AI-powered agents that can perform complex tasks and integrate with multiple systems.

Workflow Automation Using Generative AI

Learn to design and implement business process automation using generative AI capabilities. This course covers practical techniques for leveraging AI to streamline operations, reduce manual work, and improve efficiency across organizational workflows.

AI Marketing Automation

Harness the power of AI to automate and optimize marketing campaigns and customer engagement strategies. This course teaches you to leverage machine learning and AI tools for personalization, targeting, and performance analytics in marketing contexts.

Generative AI Automation Tools and Applications

Explore a comprehensive suite of generative AI tools and their practical applications across various domains. Master modern automation platforms and learn how to implement AI-driven solutions for real-world business and technical challenges.

Leadership in the New AI Landscape

Develop strategic leadership skills for the AI era, exploring how organizations can navigate transformational change driven by artificial intelligence. This course combines business acumen with technical insights to prepare leaders for AI-driven decision making.

AI For Business Leaders

Empower business leaders with practical AI knowledge and strategies for competitive advantage. This course focuses on understanding AI capabilities, identifying business opportunities, and implementing AI solutions without requiring deep technical expertise.

Architecting Hybrid Cloud Infrastructure with Anthos

This specialization is intended for technical engineers, architects, and administrators using Google Cloud Platform (GCP), Kubernetes, and Istio to create, integrate, or modernize solutions. You will learn modernizing, managing, and observing microservices-based applications that span multiple clusters in GCP, on-premises, or other cloud providers.

Gemini for Google Cloud Learning Path

The Gemini for Google Cloud learning path provides examples of how Gemini can help make engineers of all types more efficient in their daily activities. Gemini provides a natural language chat interface which you can quickly chat with to get answers to cloud questions, or receive guidance on best practices. Whether you're writing apps, calling APIs, or querying data, Gemini can help complete your code while you write, or generate code blocks based on comments. This learning path provides guidance for multiple roles, including developers, data analysts, cloud engineers, architects, and security engineers.

Google Cloud AI Infrastructure

This learning path, designed for intermediate to advanced technical learners, offers on-demand courses to specialize in AI Infrastructure on Google Cloud. You'll gain the knowledge and skills to design and deploy high-performance AI/ML solutions using Google Cloud's AI Hypercomputer, GPUs, TPUs, Compute, and Google Kubernetes Engine. Optimize every layer of your AI Infrastructure solutions, from storage and networking to orchestration and best practices, to redefine what's possible with Google AI Infrastructure.

Google Cloud Infrastructure for AWS Professionals

This is a four-course fast-track series for cloud architects and engineers with existing AWS knowledge that compares Google Cloud solutions with AWS and guides professionals on their use. The learner will apply the knowledge of concepts and technologies in AWS to explore the similarities and differences with concepts and technologies in Google Cloud. Learners will get hands-on practice building and managing Google Cloud resources.

Google Cloud Infrastructure for Azure Professionals

This is a four-course series for cloud architects and engineers with existing Azure knowledge that compares Google Cloud solutions with Azure and guides professionals on their use. The learner will apply the knowledge of concepts and technologies in Azure to explore the similarities and differences with concepts and technologies in Google Cloud. Learners will get hands-on practice building and managing Google Cloud resources.

Integrate Generative AI Into Your Data Workflow

Designed for data professionals, this learning path provides a guide on leveraging BigQuery Machine Learning and Gemini models for advanced data analysis and predictive modeling. You will move beyond theory into practice, learning how to use AI for efficient code generation, troubleshooting, and workflow optimization directly within the Google Cloud console. By the end of this path, you will have applied these concepts in hands-on labs to build, evaluate, and deploy machine learning models that solve real-world business problems.

Networking in Google Cloud

This specialization gives participants broad study of core infrastructure and networking options on Google Cloud Platform. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy GCP networking technologies, such as Google Virtual Private Cloud (VPC) networks, subnets, firewalls; interconnection among networks; load balancing; Cloud DNS; Cloud CDN. The specialization will also cover common network design patterns and automated deployment using Deployment Manager. This class is intended for the following participants: ● Network Engineers and Admins who are either using Google Cloud Platform or are planning to do so ● Individuals who want to be exposed to software-defined networking solutions in the cloud. To get the most out of this course, participants should have: *Prior understanding of the OSI 7-layer model *Prior understanding of IPv4 addressing *Prior experience with managing IPv4 routes

Organizational Change and Culture for Adopting Google Cloud

Understanding organizational adoption of Google Cloud. This series of courses starts with the basics of digital transformation and Google Cloud and then builds on that knowledge to understand the culture and change management that organizations use to benefit from Google Cloud.

Serverless Data Processing with Dataflow

It is becoming harder and harder to maintain a technology stack that can keep up with the growing demands of a data-driven business. Every Big Data practitioner is familiar with the three V’s of Big Data: volume, velocity, and variety. What if there was a scale-proof technology that was designed to meet these demands? Enter Google Cloud Dataflow. Google Cloud Dataflow simplifies data processing by unifying batch & stream processing and providing a serverless experience that allows users to focus on analytics, not infrastructure. This specialization is intended for customers & partners that are looking to further their understanding of Dataflow to advance their data processing applications. This specialization contains three courses: Foundations, which explains how Apache Beam and Dataflow work together to meet your data processing needs without the risk of vendor lock-in Develop Pipelines, which covers how you convert our business logic into data processing applications that can run on Dataflow Operations, which reviews the most important lessons for operating a data application on Dataflow, including monitoring, troubleshooting, testing, and reliability.

Administering an AlloyDB Database

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you perform administrative tasks that are essential to the optimal use of an AlloyDB for PostgreSQL database.

AI Infrastructure: Networking Techniques

Welcome to the ""AI Infrastructure: Networking Techniques"" course. While AI Hypercomputer is renowned for its massive computational power using GPUs and TPUs, the secret to unlocking its full potential lies within the network. High-performance computing and large-scale model training demand incredibly fast, low-latency connections to continuously feed processors with data. In this course, you will learn to leverage Google Cloud's high-bandwidth, low-latency infrastructure to optimize data transfer and communication between all the components of your AI system. By the end, you will grasp the critical role networking plays across the entire AI pipeline from data ingestion and training to inference and be able to apply best practices to ensure your workloads run at maximum speed.

Analyze BigQuery Usage with Log Analytics

This is a self-paced lab that takes place in the Google Cloud console. Use Log Analytics for in-depth usage logs analysis through SQL querires from the Cloud Logging page.

Analyze Customer Reviews with Gemini Using Python Notebooks

This is a self-paced lab that takes place in the Google Cloud console. Learn how to use BigQuery Machine Learning with remote models (Gemini AI) to analyze customer reviews using Python Notebooks.

Analyzing Billing Data with BigQuery

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will create datasets and tables, import data from billing reports, and conduct a variety of queries on the data using BigQuery.

API Design and Fundamentals of Google Cloud's Apigee API Platform

In this course, you learn how to design APIs, and how to use OpenAPI specifications to document them. You learn about the API lifecycle, and how the Apigee API platform helps you manage all aspects of the lifecycle. You learn how APIs can be designed using API proxies, and how APIs are packaged as API products to be used by app developers. Through a combination of lessons, hands-on labs, and supplemental materials, you will learn how to design, build, secure, deploy, and manage API solutions using Google Cloud's Apigee API Platform. This is the first course of the Developing APIs with the Apigee API Platform series. After completing this course, enroll in the API Security with the Apigee API Platform course.

BigQuery Soccer Data Analysis

This is a self-paced lab that takes place in the Google Cloud console. Learn the fundamentals of writing and executing queries to query soccer data stored in BigQuery tables. In this lab you will learn more fundamentals of sports data science by writing and executing queries to query data stored in BigQuery tables. The emphasis of the lab is to illustrate how the database works and answer some interesting questions related to the following topics in soccer.

BigQuery Soccer Data Analytical Insight

This is a self-paced lab that takes place in the Google Cloud console. Learn how to create deeper analytical insights from soccer event data using BigQuery. BigQuery can be used to perform more sophisticated data analysis. In this lab, you will analyze soccer event data to achieve real insight from the dataset.

Build a Certification Study Guide: PCD Exam Prep

Learn to leverage NotebookLM to build a personalized study guide for the Professional Cloud Developer (PCD) certification exam. Explore key features, integrate source materials, and use effective prompts to streamline your exam preparation.

Build a Serverless App with Cloud Run that Creates PDF Files

In this lab you will build a PDF converter web app on Cloud Run, a serverless service, that automatically converts files stored in Cloud Storage into PDFs stored in segregated folders.

Build AI Agents with Agent Platform and Flutter

This course provides a foundational understanding of Gemini models and their application in generative AI solutions. You will explore the tools available on the Gemini Enterprise Agent Platform to build search and reasoning capabilities for your apps. You will also work with Flutter, Google's UI framework used to build applications for multiple platforms from a single codebase.

Building a High-throughput VPN

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to create secure, high-throughput VPN and test the speed.

Caching and Datagroups with LookML

This is a Google Cloud Self-Paced Lab. In this lab, you will learn how caching works in Looker and explore how to use LookML objects called datagroups to define caching policies.

Cloud SQL with Terraform

This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab you will learn to create Cloud SQL instances with Terraform, then set up the Cloud SQL Proxy, testing the connection with both MySQL and PostgreSQL clients.

Configuring Vector Search in AlloyDB

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn the fundamentals of configuring vector search in AlloyDB.

Connect and Configure Data for your AppSheet App

This is a Google Cloud Self-Paced Lab. In this lab, you'll use AppSheet to connect and configure data for your app.

Continuous Delivery with Jenkins in Kubernetes Engine

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will deploy and completely configure a continuous delivery pipeline using Jenkins running on Kubernetes Engine and go through the dev - deploy process.

Creating a Persistent Disk

This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you will learn how to create a persistent disk and use it on a Google Compute Engine virtual machine. You will also learn about zones, regions, and different disk types. Watch the short preview Create a Persistent Disk, GCP Essentials.

Custom Document Extraction with Document AI Workbench

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will create and train a Custom Document Extractor that processes W-2 (US tax form) documents.

Advanced AI: Techniques, Applications, and Ethics

A comprehensive course covering advanced artificial intelligence techniques, their practical applications across various domains, and the ethical considerations surrounding AI deployment. Students will explore cutting-edge AI methodologies, real-world use cases, and responsible AI practices.

Deploy and Scale AI Models with Cloud Run

AI inference is the process of using a trained machine learning model to make predictions on new, unseen data by applying learned patterns. This course is designed for developers, data scientists, and ML engineers interested in quickly deploying AI inference services on Cloud Run. It is useful for those familiar with cloud-based serverless application deployment solutions, but who may not have experience with running AI inference using Google Cloud serverless products. The course includes examples that deploys a model for AI inference with GPUs and integrates gen AI apps with data storage services.

Create Machine Images Using gcloud compute

This is a self-paced lab that takes place in the Google Cloud console. This hands-on lab provides a quick introduction on how to create a VM machine image using gcloud compute to preserve the configuration, metadata, permissions, and disk data of the VM.

Deploy and Test a Visual Inspection AI Component Anomaly Detection Solution

This is a self-paced lab that takes place in the Google Cloud console. Deploy and test a visual inspection AI component anomaly detection solution.

Design a User Experience for Social Good & Prepare for Jobs

Design a User Experience for Social Good and Prepare for Jobs is the seventh course in a program that will equip you with the skills you need to become an entry-level UX designer. In this course, you will design a dedicated mobile app and a responsive website focused on social good. You will showcase all that you’ve learned during the certificate program to complete the design process from beginning to end: empathizing with users, defining their pain points, coming up with ideas for design solutions, creating wireframes and prototypes, and testing designs to get feedback. By the end of this course, you will have a new cross-platform design project to include in your professional UX portfolio. This course will also prepare you to land your first job as a UX designer. And, you’ll polish the professional UX portfolio you’ve been building throughout the program so that it’s ready for job applications. Current UX designers and researchers at Google will serve as your instructors, and you will complete hands-on activities that simulate real-world UX design scenarios. Learners who complete the courses in this certificate program should be equipped to apply for entry-level jobs as UX designers. By the end of this course, you will be able to: - Apply each step of the UX design process (empathize, define, ideate, prototype, test) to create designs focused on social good. - Identify the differences between dedicated mobile apps and responsive web apps. - Understand progressive enhancement and graceful degradation approaches for designing across devices. - Build wireframes, mockups, and low-fidelity and high-fidelity prototypes. - Add a new design project to your professional UX portfolio. - Create your portfolio of design work for job applications. - Join and participate in online UX communities. - Determine if freelance design work is a good career fit for you. - Learn AI skills from Google experts to help complete UX design tasks. This course is suitable for beginner-level UX designers who have completed the previous six courses of the Google UX Design Certificate.

Detect and Investigate Threats with Security Command Center

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you receive hands-on practice with Security Command Center’s (SCC) threat detection features and learn how to investigate and triage common vulnerabilities associated with containers and virtual machines. You also learn how to surface and manage your findings with SCC’s Event Threat Detection and Security Health Analytics features.

Dialogflow CX: Managing Environments

This is a self-paced lab that takes place in the Google Cloud console. Most businesses go through different phases of project development and production cycles. Effective maintainance of these projects require systems and processes to manage versions and environments. Dialogflow provides tools within the UI for managing multiple versions and loading specific versions to dedicated environments, which allows usage for different purposes (and perhaps by different teams). In this lab you'll explore the management of Dialogflow versions and environments.

Deep Learning for Computer Vision

Learn deep learning techniques for computer vision including autoencoders, CNNs, and GANs with hands-on implementation.

PyTorch for Deep Learning

Professional Certificate by DeepLearning.AI covering PyTorch for deep learning, CNNs, transfer learning, and model deployment.

Computer Vision Specialization

Comprehensive specialization covering image analysis, CNNs, Vision Transformers, GANs, and multimodal prompting for computer vision.

First Principles of Computer Vision

Learn computer vision from first principles: image formation, 3D vision, segmentation, and recognition from Columbia University.

Deep Learning, NLP, and AI Applications

Advanced course covering RNNs, CNNs, transfer learning, NLP with Transformers, and large language model fundamentals.

Reinforcement Learning Specialization

Master reinforcement learning from University of Alberta covering MDPs, value functions, policy methods, and deep RL.

Fundamentals of Reinforcement Learning

Learn the basics of reinforcement learning including Markov Decision Processes, value functions, and dynamic programming.

Decision Making and Reinforcement Learning

Learn decision-making frameworks and reinforcement learning from Columbia University including MDPs, deep RL, and simulations.

Deep Learning and Reinforcement Learning

IBM course covering deep learning architectures (CNNs, RNNs, GANs, autoencoders) and reinforcement learning fundamentals.

Deep Learning for Object Detection

Learn deep learning techniques for object detection using MATLAB including CNNs, transfer learning, and model evaluation.

Reinforcement Learning (MathWorks)

Learn reinforcement learning for engineering applications including control systems, simulation, and deep RL with MATLAB.

Siemens Robotics Course

Learn industrial robotics fundamentals using Siemens automation platforms and tools. This course covers robot programming, control systems, and integration with manufacturing environments. Gain practical skills in configuring and operating advanced robotic systems.

Modern Robotics, Course 1: Foundations of Robot Motion

Explore the mathematics and algorithms behind modern robotic systems including kinematics, dynamics, and motion planning. This comprehensive course provides theoretical foundations and practical applications for designing and controlling sophisticated robots.

Fundamentals of Robotics and Industrial Automation

Discover the core principles of robotics and industrial automation systems. Learn about robot types, applications, safety protocols, and integration with manufacturing processes. Ideal for professionals entering the automation industry.

Introduction to Robotics on AWS

Learn how to build and deploy robotic applications using Amazon Web Services cloud infrastructure. This course covers ROS (Robot Operating System), simulation tools, and AWS robotics services for scalable robot development.

Operating System Power User

Master advanced operating system features and command-line tools for maximum productivity. Learn shell scripting, system administration, and optimization techniques across multiple operating systems.

Switching to Zorin OS: Linux for Windows and Mac Users

Transition smoothly from Windows or macOS to Zorin OS Linux with this beginner-friendly guide. Learn desktop navigation, application installation, and system customization in a user-friendly environment.

Operating Systems: Overview, Administration, and Security

Comprehensive course on operating system principles, administration, and security practices. Learn system architecture, user management, security protocols, and best practices for maintaining secure and efficient systems.

Requirement Specifications for Autonomous Systems

Learn to define and document requirements for autonomous systems and robots. This course covers safety specifications, functional requirements, and validation processes essential for developing reliable autonomous systems.

Verification and Synthesis of Autonomous Systems

Master formal methods for verifying and synthesizing autonomous systems. Learn model checking, automated synthesis techniques, and testing strategies to ensure safety and correctness of autonomous robots.

Arduino Platform

Introduction to Arduino microcontroller development for embedded systems and IoT projects. Learn circuit design, programming, sensors, and actuators to build interactive electronic systems.

Arduino For Beginners 2023 Complete Course

Comprehensive beginner course covering Arduino fundamentals, microcontroller programming, and hands-on electronics projects. Learn to build interactive circuits and develop firmware using the Arduino IDE from scratch.

Interface With Arduino

Learn to connect Arduino with sensors, displays, and external devices through various communication protocols. Master hardware interfacing techniques including I2C, SPI, and serial communication for advanced projects.

Arduino Bootcamp Learning Through Projects

Project-based bootcamp teaching Arduino development through real-world applications and hands-on coding. Build complete working prototypes including home automation, robotics, and IoT solutions.

IoT

Comprehensive introduction to Internet of Things architecture, protocols, and applications. Learn to build connected devices and smart systems using modern IoT platforms and frameworks.

Raspberry Pi Platform

Foundational course on Raspberry Pi microcomputer, covering operating system setup, Python programming, and GPIO control. Learn to leverage Raspberry Pi's Linux environment for projects ranging from simple automation to complex applications.

Beginning Custom Projects With Raspberry Pi

Hands-on project course for building custom applications on Raspberry Pi from conception to deployment. Create practical solutions including home automation systems, media centers, and embedded servers.

Raspberry Pi Interface

Advanced course on connecting Raspberry Pi with various hardware components, communication protocols, and external systems. Master I2C, SPI, serial communication, and hardware integration techniques.

Using Sensors With Your Raspberry Pi

Specialized course on integrating various sensors with Raspberry Pi for data collection and environmental monitoring. Learn sensor calibration, data processing, and real-time analysis techniques.

Introduction to Embedded Systems

Comprehensive introduction to embedded systems architecture, design principles, and real-time operating systems. Explore microcontroller concepts, firmware development, and system constraints.

Embedded Systems Using C

Advanced programming course focused on developing embedded systems with C language. Master memory management, hardware interaction, and optimization techniques specific to resource-constrained environments.

Embedded Software Hardware

Learn the fundamentals of embedded systems by exploring the interaction between software and hardware components. This course covers microcontroller programming, hardware interfacing, and real-time systems design principles essential for embedded development.

ARM Cortex Fundamentals: Building Embedded Systems

Master ARM Cortex processor architecture and develop embedded systems using ARM-based microcontrollers. Learn assembly language, C programming, and hardware abstraction layers for professional embedded development.

Apply Dart Programming Fundamentals For Beginners

Learn Dart programming language from the ground up, exploring syntax, object-oriented principles, and functional programming concepts. This course prepares you for building applications on platforms like Flutter and web development.

Automate Cybersecurity Tasks With Python

Learn Python programming focused on cybersecurity automation tasks. Develop scripts to perform security operations, analyze network data, and automate threat detection workflows.

Programming in Python

Comprehensive introduction to Python programming covering data structures, control flow, functions, and object-oriented programming. Build a strong foundation in one of the most popular programming languages.

IoT Systems and Industrial Automation Course 1

Explore Internet of Things systems and industrial automation fundamentals. Learn about connected devices, sensor networks, data collection, and automation protocols used in modern Industry 4.0 environments.

Industrial Internet of Things

Deep dive into Industrial IoT applications, edge computing, and smart factory systems. Learn how to implement IIoT solutions for predictive maintenance, real-time monitoring, and operational efficiency.

Industry 4.0: PLM, Value Chain, and Smart Factory

Understand Industry 4.0 transformation through Product Lifecycle Management and smart factory concepts. Explore digital manufacturing, supply chain integration, and data-driven decision-making in modern production environments.

Siemens PLC and TIA Portal Essentials

Learn Siemens S7 PLC programming using TIA Portal software. Master ladder logic, structured text, and function blocks for industrial automation applications with hands-on projects.

Learn Siemens S7-1200 PLC and HMI via TIA Portal Advanced

Advanced course on Siemens S7-1200 PLC programming and Human-Machine Interface development. Build complex industrial automation projects with advanced programming techniques and HMI design.

Advanced Programming With Ladder, FBD, Structured Text

Master advanced PLC programming techniques using Ladder Logic, Function Block Diagram, and Structured Text languages. This course provides in-depth knowledge of industrial automation programming paradigms and best practices for complex control systems.

Basic Electronics

Learn fundamental electronic principles including circuit analysis, components, and their applications in real-world systems. This course covers essential concepts needed for robotics, IoT, and embedded systems development.

CPS Design for Mechatronics, Healthcare, EV, and Robotics

Explore Cyber-Physical Systems design principles applied to mechatronics, healthcare devices, electric vehicles, and robotic systems. Learn how to integrate hardware, software, and networking for intelligent automated systems.

3D Printing Revolution

Discover how 3D printing technology is transforming manufacturing, healthcare, and consumer products. This course covers the history, applications, business implications, and future potential of additive manufacturing.

Introduction to 3D Modeling

Learn the fundamentals of 3D modeling for product design, prototyping, and manufacturing. This course introduces key concepts and tools for creating digital three-dimensional models suitable for visualization and production.

3D Printing Software

Master software tools and workflows for 3D printing including slicing software, file preparation, and printer control. Learn how to optimize designs for successful 3D printing production.

3D Printing Technology Deep Dive and Use Cases

Explore advanced 3D printing technologies, materials, and real-world applications across industries. This comprehensive course examines different printing methods and their specific use cases in manufacturing and innovation.

3D Print Hardware

Learn the mechanical and electrical components of 3D printers and how they function together. This course covers printer architecture, maintenance, troubleshooting, and hardware selection for different printing needs.

Master AutoCAD Basics: Create, Modify, Annotate 2D Drawings

Master the fundamentals of AutoCAD for creating professional 2D technical drawings. Learn essential tools and workflows for designing, modifying, and annotating architectural, engineering, and manufacturing drawings.

Master AutoCAD 3D: Create, Model, Transform Designs

Advance your AutoCAD skills to create professional 3D models and designs. This course covers 3D modeling techniques, visualization, rendering, and transformation for product design and visualization.

3D CAD Fundamentals

Master the foundational principles of 3D computer-aided design, learning essential techniques for creating, modifying, and visualizing 3D models. This course covers the core concepts and tools used across various CAD software platforms to enable effective digital design and prototyping.

Design and Assemble an Oil Tank in SOLIDWORKS

Learn professional SOLIDWORKS design techniques by creating a complete oil tank assembly from concept to final design. This hands-on project-based course teaches advanced modeling, part creation, and assembly management for real-world industrial applications.

Apply SketchUp to Build 3D House Models from 2D Plans

Transform 2D architectural plans into stunning 3D models using SketchUp, the industry-standard tool for architecture and construction. This course teaches practical techniques for architectural visualization, design iteration, and presenting building designs effectively.

Introduction to Internet of Things

Explore the fundamentals of IoT systems, from connected devices and sensors to cloud platforms and data analytics. This course provides a comprehensive overview of IoT architecture, protocols, and real-world applications across various industries.

AWS Securely Connecting AWS IoT Devices to the Cloud

Master secure IoT device connectivity using AWS services, focusing on authentication, encryption, and reliable data transmission. Learn to configure AWS IoT Core, implement certificate-based security, and build scalable IoT applications on the cloud.

The Science of Gastronomy

Learn techniques that professional chefs actually use every day in this hands-on course. Learn from industry professionals in this kitchen-tested course. The science behind cooking including food chemistry, Maillard reaction, emulsification, fermentation, and molecular gastronomy techniques for modern cuisine. Integrates hands-on cooking and service exercises with business operations, customer experience, and career development skills.

Food Safety and HACCP Management

Sharpen your culinary skills and launch a food industry career with this kitchen-tested course. Food safety management covering HACCP principles, food handling regulations, allergen management, temperature control, and Food Safety Modernization Act (FSMA) compliance. Created by industry professionals who have run successful kitchens, restaurants, and hospitality operations for decades.

Environmental Science and Climate Change

Develop expertise in sustainable practices that protect our planet with this science-based course. Environmental science covering climate systems, carbon cycle, pollution assessment, biodiversity loss, environmental impact assessment, and sustainability strategies. Integrates scientific principles with practical skills, so you can make informed decisions and see measurable results from day one.

Waste Management and Circular Economy

Develop expertise in sustainable practices that protect our planet with this science-based course. Waste management covering recycling systems, composting, landfill management, waste-to-energy, circular economy principles, and zero-waste strategies. Integrates scientific principles with practical skills, so you can make informed decisions and see measurable results from day one.

Practice Exam For PMI CAPM Certification

Prepare for the PMI Certified Associate in Project Management (CAPM) certification exam with comprehensive practice tests and detailed explanations. This course provides realistic exam simulations covering all CAPM knowledge domains and question types. Build confidence and identify knowledge gaps before taking the official certification exam.

Mastering QuickBooks 2025

Become proficient in QuickBooks 2025, the leading accounting software for small and medium businesses. Learn comprehensive bookkeeping, financial reporting, and business analysis using industry-standard tools.

Capstone Accounting Assistant with AI Skills

Integrate artificial intelligence tools into accounting workflows and develop skills as a modern accounting assistant. Combine traditional accounting practices with emerging AI technologies to streamline financial operations.

Apply Bookkeeping Accounting for Financial Reporting

Master practical bookkeeping methods and financial reporting standards essential for accurate business accounting. Learn to record transactions, maintain ledgers, and prepare financial statements for stakeholder communication.

Life Coach Certification

Develop comprehensive life coaching skills and obtain professional certification to guide clients through personal transformation. Learn coaching methodologies, client assessment, and goal-setting strategies for career success.

Plan Reading and Specifications

Master the interpretation of construction drawings, blueprints, and technical specifications. Learn to read architectural and engineering plans essential for project coordination and accurate construction execution.

SQL for Data Science

Learn SQL programming for data analysis and manipulation in data science workflows. Master database queries, joins, aggregations, and data wrangling techniques for extracting insights from relational databases.

Agile Development and Scrum

Master Agile methodologies and Scrum framework for efficient project management and software development. Learn sprint planning, daily standups, and iterative development practices that improve team productivity.

Construction Project Management

Develop comprehensive project management skills specific to construction environments. Learn scheduling, budgeting, resource allocation, and risk management for successful construction project delivery.

Construction Cost Estimating

Master the techniques and tools for accurate construction cost estimation and budgeting. Learn to analyze project scope, material costs, labor expenses, and contingencies to develop realistic project budgets. Develop skills essential for cost control and financial planning in construction projects.

Project Management Foundations

Gain foundational knowledge in project management principles, methodologies, and best practices. Learn to initiate, plan, execute, monitor, and close projects successfully. Understand key concepts like scope, schedule, budget, and stakeholder management.

Construction Finance

Explore financial management principles specific to the construction industry including funding mechanisms, cash flow management, and profitability analysis. Learn to navigate unique financing challenges in construction and make data-driven financial decisions.

Construction Scheduling

Master construction scheduling techniques and tools to plan, optimize, and manage project timelines effectively. Learn critical path analysis, resource allocation, and schedule monitoring to keep projects on track. Develop expertise in using industry-standard scheduling software.

Automate Software Installation With Ansible

Learn to automate software installation and configuration management using Ansible, an open-source automation platform. This course covers playbooks, roles, and best practices for efficient IT operations and infrastructure management. Gain hands-on experience deploying applications at scale.

Solar Energy Basics

Explore the fundamentals of solar energy including photovoltaic technology, solar thermal systems, and renewable energy principles. Understand how solar power works, its advantages, and applications in residential and commercial settings.

Solar Energy System Design

Learn to design, size, and optimize solar energy systems for residential and commercial applications. Master system components, performance calculations, and installation considerations. Develop practical skills in solar engineering and system integration.

Renewable Energy Technology Fundamentals

Gain comprehensive knowledge of renewable energy technologies including solar, wind, hydro, geothermal, and biomass systems. Understand the principles, advantages, limitations, and applications of each technology in the global energy landscape.

Strategic Human Resource Management: Talent, Performance and Compensation Design

Master strategic HR practices for talent acquisition, performance management, and compensation design. Learn to align human resources with organizational strategy, attract top talent, and create fair compensation systems that drive performance.

Driving Operational Performance

Discover strategies and methodologies for improving operational efficiency and performance. Learn to identify bottlenecks, implement process improvements, and measure performance metrics. Master techniques to drive continuous improvement across organizations.

CTO Excellence: Driving Engineering Excellence

Master the strategic and technical skills required to excel as a Chief Technology Officer. Learn how to drive engineering excellence, build high-performing teams, and align technology with business objectives. This course covers leadership principles, architectural decision-making, and organizational best practices.

Product Management Foundations and Stakeholder Collaboration

Learn the fundamentals of product management and master the art of collaborating with diverse stakeholders. Discover how to define product vision, manage requirements, and guide cross-functional teams through the product development lifecycle. This course equips you with essential frameworks and communication strategies.

Automate Workflows in Mailchimp

Master Mailchimp's automation features to create efficient marketing workflows and campaigns. Learn how to set up automated email sequences, segment audiences, and optimize customer journeys. This practical course enables you to save time and increase marketing effectiveness through intelligent automation.

Manage a Real Estate Business

Develop comprehensive business management skills for the real estate industry. Learn how to operate a successful real estate firm, manage finances, lead teams, and build client relationships. This course combines practical strategies with industry best practices for sustainable growth.

The Principles of Real Estate

Explore the foundational principles of real estate including property types, valuation methods, and market dynamics. This introductory course provides essential knowledge for anyone entering the real estate industry or seeking to understand real estate investments. Learn how property rights, financing, and market forces shape the real estate landscape.

Real Estate Property Management

Learn the essential skills for effective property management including tenant relations, maintenance coordination, and financial oversight. This course covers day-to-day operations, regulatory compliance, and strategies for maximizing property value. Ideal for property managers, landlords, and real estate professionals.

Procurement Document Control

Master the critical aspects of procurement document control and management. Learn how to organize, track, and maintain procurement documentation for compliance and efficiency. This course covers best practices for document storage, version control, and audit trails in procurement processes.

Architecting with Google Compute Engine

This specialization introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring. This class is intended for the following participants: ● Cloud Solutions Architects, DevOps Engineers. ● Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform. Note: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. The new Specialization has updated, improved content that will help you if you are preparing for the Google Certified Professional - Cloud Architect exam as well as the Associate Cloud Engineer exam. >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<

Developing APIs with Google Cloud's Apigee API Platform

This three-course specialization introduces learners to Apigee, Google Cloud's full-lifecycle API management platform. Using a combination of presentations, hands-on labs, and supplemental materials, you will explore the full API lifecycle, and learn how to design, secure, and publish APIs using the Apigee API Platform. You will use labs to build APIs that solve real-world scenarios. Note: We strongly recommend that you take the courses in order. Later lab activities build on APIs you implemented during previous labs. This specialization is intended for developers, architects, or engineers responsible for the solutioning, design, implementation, or management of APIs. >>> By enrolling in this specialization, you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<

Google People Management Essentials

Ever wondered what makes a great people manager? In Google People Management Essentials, you’ll learn the skills required to become a confident, effective manager. Designed by The Google School for Leaders, this program distills decades of Google’s management research into actionable insights on how to build high-performing teams. Through hands-on activities and advice from over a dozen managers at Google, you'll learn to set clear goals, develop coaching skills, drive business results, and leverage AI as a management tool. Whether you're an aspiring leader or already managing a team, you’ll leave this course with the practical skills to drive results and build a team where people can thrive. Upon completion, you'll earn a professional certificate from Google.

Machine Learning on Google Cloud