LinkedIn Learning Courses
37 expert-rated courses on LinkedIn Learning. Every course has been reviewed for quality, relevance, and practical value.
Launched in 2015, LinkedIn Learning is owned by Microsoft and provides a wide range of accredited AI and technology courses to help professionals upskill and advance their careers.
Difficulty Levels
Key Facts About LinkedIn Learning
- 1Offers 36 AI and tech courses across 9 categories, including AI at Work, AI Fundamentals, and AI Applications
- 2Top-rated courses cover Generative AI, AI for Managers, and AI Product Development
- 3All 36 courses offer certificates upon completion
- 40 free course options available on the platform
- 5Caters to a diverse audience, from AI beginners to experienced professionals
All LinkedIn Learning Courses
Building AI Products: Prototyping Essentials Professional Certificate
Certificate path focused on AI product ideation, technical feasibility, responsible AI, data strategy, and secure-by-design prototyping.
Claude Code 101 - From Prompt to Product
Explore Claude Code and learn how to use CLI tools for AI analysis. This course covers practical methods for working with Claude and other AI models to build products from concept to deployment.
The Machine Learning Lifecycle: From Data Ingestion to Responsible Deployment
Learn the complete machine learning lifecycle from initial data ingestion through to responsible deployment in production. This course covers best practices for building, validating, and deploying ML models while considering ethical implications and responsible AI practices.
Career Essentials in Generative AI by Microsoft and LinkedIn
Learning path covering core generative AI concepts, Microsoft 365 Copilot usage, and ethics for day-to-day work.
AI for Managers by Microsoft and LinkedIn
Manager-focused path on using generative AI for coaching, team collaboration, career conversations, and responsible AI governance.
Generative AI for Marketing (AMA) Professional Certificate
American Marketing Association endorsed
Generative AI for Marketing with Microsoft 365 Copilot
Microsoft Professional Certificate
AI Fluency: Generative AI for Career Growth and Job Search by Microsoft and NAWB
A comprehensive course designed to help professionals develop AI fluency and understand generative AI applications for career growth and job search. Learn how to leverage AI tools and concepts to advance your career in the modern workplace.
AI Fluency: Generative AI for Career Coaches by Microsoft and NAWB
A specialized course for career coaches to integrate generative AI into their coaching practice. Learn how to leverage AI tools and techniques across common coaching activities to enhance client outcomes and streamline workflows.
AI for Nonprofits Professional Certificate
A professional certificate program developed by Microsoft Elevate, LinkedIn, and NetHope to teach nonprofit professionals how to implement and leverage AI technologies. This certificate covers AI fundamentals, applications, and best practices tailored for the nonprofit sector.
Building AI-Powered Browser Agents with Playwright and Large Language Models
Learn to build AI-powered browser agents using Playwright and Large Language Models. This course teaches you how to create intelligent automation agents that can interact with web browsers programmatically.
Using AI Responsibly - Microsoft Copilot Video Tutorial
Learn about AI fluency and why responsible AI use matters in your career. This video tutorial covers practical approaches to using AI tools like Microsoft Copilot ethically and effectively.
Generative AI for Learning and Development Professional Certificate
Professional certificate path for L&D teams to use AI for upskilling, skill gap analysis, and personalized learning plans.
AI Essentials for Marketers
multiple short courses
Generative AI for Digital Marketers
Generative AI for Digital Marketers - comprehensive ai for social media course on LinkedIn Learning.
Generative AI for Marketing Professional Certificate (AMA)
American Marketing Association endorsed
Career Essentials in Generative AI (Microsoft)
Copilot, content creation, ethics
How to Research and Write Using Generative AI Tools
#1 most popular AI course on LinkedIn
Generative AI for Marketing (AMA Certificate)
AI content authenticity focus
How to Research and Write Using Generative AI
Content production at scale
Process Automation with AI
Enterprise automation strategies
AI Governance in Financial Services
Explore AI governance frameworks and best practices specifically designed for the financial services industry. Learn how to implement responsible AI policies, manage regulatory compliance, and address ethical considerations in financial AI applications.
IAPP Artificial Intelligence Governance Professional (AIGP) Cert Prep
Prepare for the IAPP AIGP certification exam with comprehensive coverage of AI governance principles, frameworks, and best practices. This course equips you with the knowledge needed to pass the certification and advance your career in AI governance.
Legal Responsibilities Based on Actor Roles
Understand the legal responsibilities and liabilities of different actors in AI systems, including developers, organizations, and stakeholders. Learn how actor roles define accountability in AI governance and compliance frameworks.
Tracking Data Lineage and Provenance in AI Systems
Learn how to track data lineage and provenance throughout AI systems for transparency and accountability. This course covers techniques for documenting data sources, transformations, and usage in AI pipelines.
Understanding AI Risks and Societal Harms
Examine the potential risks and societal harms associated with AI systems, including bias, privacy violations, and unintended consequences. Learn frameworks for identifying, mitigating, and managing these risks responsibly.
AI Governance in Autonomous Transportation
This course explores the governance frameworks and regulatory considerations for AI systems in autonomous transportation. Learn how to implement risk management and ethical oversight in autonomous vehicle development.
What Makes AI Different from Traditional Software?
Explore the fundamental differences between AI systems and traditional software development. Understand unique challenges, design patterns, and considerations specific to AI applications.
Embedding Risk Management into AI Model Design
Learn how to integrate risk management practices directly into AI model design and development. Discover frameworks for identifying, assessing, and mitigating risks throughout the AI lifecycle.
Matching AI Model Types to Deployment Needs
Master the selection and deployment of appropriate AI model types based on specific business and technical requirements. Learn to evaluate trade-offs between accuracy, speed, and resource constraints.
Evolving Privacy and Security Policies for AI Systems
Explore how to develop and update privacy and security policies for AI systems in a rapidly evolving landscape. Learn compliance requirements, data governance, and best practices for protecting AI systems.
AI and Consumer Protection Laws
This course explores the intersection of AI technology and consumer protection regulations. Learn how AI systems must comply with consumer protection laws and best practices for responsible AI deployment.
Structuring AI Training and Testing for Governance
Learn how to structure AI model training and testing processes to ensure proper governance and oversight. This course covers best practices for validating AI systems and maintaining accountability throughout the model lifecycle.
AI Risk Assessment and Classification Models
This course teaches how to assess risks associated with AI systems and build classification models for risk categorization. Learn frameworks for identifying, evaluating, and mitigating AI-related risks in enterprise environments.
Applying Governance Across the AI Lifecycle
Explore comprehensive governance strategies that span the entire AI project lifecycle from conception to deployment and monitoring. This course covers governance frameworks, policies, and best practices for responsible AI management.
Consent and Transparency Challenges in AI
Address the critical challenges of obtaining informed consent and maintaining transparency in AI systems. This course examines regulatory requirements, ethical considerations, and practical strategies for building trustworthy AI.
Artificial Intelligence in Telecom: Building Intelligent Networks
Explore how artificial intelligence is transforming the telecommunications industry. Learn to design and implement intelligent network systems that optimize performance, enhance customer experience, and reduce operational costs.
+ 17 more courses available
Pro Tips for LinkedIn Learning
- #1Prioritize courses that align with your specific career goals and skill gaps
- #2Leverage the platform's learning paths to build a well-rounded AI skillset
- #3Engage with the online community to connect with peers and industry professionals
Why Choose LinkedIn Learning?
- Comprehensive curriculum developed by industry experts and leading tech companies
- Interactive learning experience with video lessons, hands-on projects, and assessments
- Flexible learning format allows you to learn at your own pace