Learn TensorFlow
19 expert-rated courses covering TensorFlow. Compared by rating, price, difficulty, and job relevance so you can pick the right one.
The SkillsetCourse catalog offers a robust selection of TensorFlow courses, with 13 courses providing certificates and 4 free options. Platforms such as Coursera, Udemy, and Google AI / Cloud Skills Boost enhance accessibility. Related skills like deep learning and Python are integral to mastering TensorFlow, ensuring comprehensive training for learners aiming to excel in AI and machine learning.
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Key Facts About TensorFlow
- 1TensorFlow is a leading framework for building machine learning models and neural networks.
- 2The SkillsetCourse catalog features 20 TensorFlow courses across multiple platforms.
- 313 courses offer certificates upon completion, enhancing professional credentials.
- 4Four free TensorFlow courses are available, providing valuable entry points for learners.
- 5TensorFlow is closely related to skills such as deep learning, AI, and data science.
Top TensorFlow Courses
IBM AI Engineering Professional Certificate
Professional certificate covering ML algorithms, deep learning frameworks, and deployment workflows including Spark, Keras, PyTorch, and TensorFlow.
Deep Learning Specialization
Foundational specialization on neural networks, CNNs, sequence models, and practical deep learning engineering.
Google AI Professional Certificate
Earn Google's AI Professional Certificate covering AI fundamentals, machine learning, and responsible AI. Designed for career growth in AI roles.
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.).
Introduction to ArtificiaI Intelligence, Machine Learning and Python
Learn to understand Artificial Intelligence and Machine Learning algorithms, and learn the basics of Python Programming. Artificial Intelligence has already ...
Data Science and Machine Learning with Python - Hands On!
This course will teach you the techniques used by real data scientists in the tech industry - and prepare you for a move into this hot career path.
Computer Vision with Deep Learning and OpenCV: Learn How to ...
In this course, we will be creating an end-to-end application that can detect smiles in images and videos. For that, we will use deep learning and start by ...
Kickstart Your AI Journey: From Zero to Real-World Projects
Across 15 expertly crafted modules, you'll explore Python, machine learning, deep learning, data preprocessing, regression, classification, and much more - all ...
Gen AI 0-100: From Basics to Google Cloud Tools
Deep learning is a type of machine learning that uses artificial neural network. ... Python code, making it possible to call the model using the Palm API.
Learn Python FAST! Full Fast Track Python Programming course
In this course, we'll start with the fundamentals of Python, including installation, data types, and control structures, ensuring you build a solid foundation. ...
Coding 101: Python for Beginners
Data types, expressions, variables; How to use functions; How to define functions; How to use methods and attributes; If-else statements; While loops; For loops.
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.
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.
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.
Deep Learning, NLP, and AI Applications
Advanced course covering RNNs, CNNs, transfer learning, NLP with Transformers, and large language model fundamentals.
Deep Learning: Convolutional Neural Networks in Python
TensorFlow 2 CNNs for Computer Vision, Natural Language Processing and more. Deep Learning for Data Science and Machine Learning.
Machine Learning on Google Cloud
Build ML models on Google Cloud with TensorFlow, covering feature engineering, model deployment, and MLOps best practices.
Data Engineering, Big Data, and Machine Learning on GCP
This five-week, accelerated online specialization provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. The course covers structured, unstructured, and streaming data. This course teaches the following skills: • Design and build data processing systems on Google Cloud Platform • Leverage unstructured data using Spark and ML APIs on Cloud Dataproc • Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow • Derive business insights from extremely large datasets using Google BigQuery • Train, evaluate and predict using machine learning models using Tensorflow and Cloud ML • Enable instant insights from streaming data This class is intended for developers who are responsible for: • Extracting, Loading, Transforming, cleaning, and validating data • Designing pipelines and architectures for data processing • Creating and maintaining machine learning and statistical models • Querying datasets, visualizing query results and creating reports >>> 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 <<<
Pro Tips for Learning TensorFlow
- #1Start with the 'Introduction to Deep Learning with Keras' course to build foundational skills in TensorFlow.
- #2Practice coding with TensorFlow regularly to reinforce learning and improve proficiency.
- #3Engage with community forums and resources for troubleshooting and support during your learning journey.
- #4Explore related skills like Python and data science to complement your TensorFlow training.
Why Learn TensorFlow?
- Learning TensorFlow can significantly enhance career prospects in AI and machine learning fields.
- TensorFlow skills are in high demand, making them valuable for data scientists and engineers.
- Proficiency in TensorFlow can lead to opportunities in developing innovative AI applications.
- Mastering TensorFlow can facilitate career advancement in tech-driven industries.