Learn Generative AI
53 expert-rated courses covering Generative AI. Compared by rating, price, difficulty, and job relevance so you can pick the right one.
The SkillsetCourse catalog indicates a robust offering for Generative AI, featuring 55 courses across platforms like Coursera, edX, and LinkedIn Learning. With 23 free options and 51 courses awarding certificates, learners have ample opportunities to gain expertise. The inclusion of related skills like prompt-engineering further enriches the learning experience, ensuring comprehensive coverage of the topic.
Catalog analysis updated . Ratings are independent editorial scores. Read the rating methodology.
Key Facts About Generative AI
- 1Generative AI enables the creation of new content, including text, images, and music.
- 2SkillsetCourse offers 55 courses on Generative AI across multiple platforms.
- 323 courses are available for free, providing accessible learning opportunities.
- 451 courses award certificates, enhancing professional credentials.
- 5Related skills include Prompt Engineering and LLM, broadening application potential.
Available on
Top Generative AI Courses
Develop Generative AI Apps in Azure
Build generative AI applications using Azure OpenAI Service. Learn prompt engineering, RAG patterns, and deployment best practices.
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.
Generative AI
Nanodegree program focused on production-grade generative AI, including RAG, model adaptation, and multimodal applications.
5-Day Gen AI Intensive Course with Google
Self-paced five-day intensive covering LLM foundations, prompting, embeddings, agents, domain LLMs, and GenAI MLOps.
Learn Generative AI in 23 Hours
Comprehensive free course covering the generative AI lifecycle, including prompting, deployment, RAG, and AI agents.
Foundation Models and Generative AI
MIT IAP course introducing foundation models and generative AI concepts through lecture videos and conceptual framing.
OpenClaw Crash Course: Build Powerful & Autonomous AI Agents
Learn to build powerful autonomous AI agents using OpenClaw framework. This crash course covers creating deep research AI agents and implementing agentic AI systems for advanced applications.
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.
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.
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.
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.
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.
Introduction to AI for Work
Beginner course on AI concepts and responsible workplace usage with practical collaboration patterns for productivity.
3-Day AI Product Management Bootcamp
An intensive bootcamp designed to teach AI product management fundamentals. This course covers machine learning tasks, generative AI applications, and project management strategies for AI products.
GenAI for Beginners: From Basics to Chatbot Creation (2026)
Learn the fundamentals of AI, Machine Learning, and Deep Learning with practical applications. Progress from basic concepts to building your own chatbot using generative AI technologies.
Advance Performance Engineering - for Leaders, with Gen AI
Learn how to leverage generative AI and Large Language Models to advance performance engineering and testing strategies for leadership roles. Covers ChatGPT and AI applications in business management and marketing contexts.
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.
Exploring Generative AI
Learning path introducing generative AI models, architecture, ethics, and practical prompt engineering techniques.
+ 33 more courses available
Pro Tips for Learning Generative AI
- #1Begin with foundational courses like 'Introduction to Artificial Intelligence (AI)' by IBM to build your knowledge base.
- #2Engage with free options first, such as those available on Coursera and edX, to gauge your interest.
- #3Practice prompt-engineering alongside Generative AI to enhance your content creation skills.
- #4Consider earning a certificate from courses like 'Generative AI for Learning and Development' to validate your expertise.
Why Learn Generative AI?
- Learning Generative AI can significantly enhance your career prospects in tech-driven industries.
- Mastering Generative AI equips you with skills to innovate and improve workflows in various sectors.
- Generative AI knowledge is increasingly sought after, making it a valuable addition to your skill set.
- Understanding Generative AI can position you as a leader in the evolving landscape of artificial intelligence.