🚀 6 Free Generative AI Courses to Build Real Skills
Stop just prompting. Start building.
Here are 6 free courses that will take you from zero to building production-ready Generative AI applications 👇
1️⃣ Microsoft Generative AI for Beginners
21 lessons covering everything you need to start building
What you’ll learn:
- Fundamentals of Generative AI
- How Large Language Models work
- Prompt engineering best practices
- Building AI-powered applications
- Ethical considerations and responsible AI
Best for: Complete beginners wanting a comprehensive foundation
2️⃣ Function Calling and Data Extraction with LLMs
Learn how to use LLM function calling to connect with tools and extract structured data
What you’ll learn:
- Function calling fundamentals
- Connecting LLMs to external tools and APIs
- Extracting structured data from unstructured text
- Building reliable tool-use patterns
Best for: Developers who want their LLMs to interact with the real world
3️⃣ Building Your Own Database Agent
Learn how to interact with databases using natural language
What you’ll learn:
- Building agents that query databases
- Natural language to SQL translation
- Safe database interaction patterns
- Handling complex queries
Level: Beginner-friendly (optional Python/SQL knowledge helpful)
Best for: Anyone who wants to build natural language interfaces to data
4️⃣ LangChain for LLM Application Development
A beginner-friendly course on building LLM-powered apps with LangChain
What you’ll learn:
- LangChain fundamentals and architecture
- Chains, agents, and memory
- Building multi-step workflows
- Integrating external data sources
Level: Beginner-friendly (basic Python knowledge helpful)
Best for: Developers ready to build production LLM applications
5️⃣ Building and Evaluating Advanced RAG Applications
Learn the latest RAG (Retrieval-Augmented Generation) techniques
What you’ll learn:
- Advanced RAG architectures
- Retrieval optimization techniques
- Evaluating RAG system performance
- Handling edge cases and failures
Level: Intermediate (basic Python knowledge recommended)
Best for: Developers building knowledge-grounded AI systems
6️⃣ Building Agentic RAG with LlamaIndex
Learn how to quickly build agents that can reason over your documents
What you’ll learn:
- LlamaIndex fundamentals
- Building agentic RAG systems
- Multi-step reasoning over documents
- Query engines and routing
Level: Intermediate (basic Python knowledge recommended)
Best for: Developers building document reasoning systems
📋 Suggested Learning Path
Here’s a recommended order to tackle these courses:
| Order | Course | Focus | Priority |
|---|---|---|---|
| 1 | Microsoft Generative AI for Beginners | Foundations | ⭐⭐⭐ |
| 2 | Function Calling and Data Extraction | Tool Integration | ⭐⭐⭐ |
| 3 | LangChain for LLM Application Development | Framework Basics | ⭐⭐⭐ |
| 4 | Building Your Own Database Agent | Practical Project | ⭐⭐ |
| 5 | Building and Evaluating Advanced RAG | Advanced Techniques | ⭐⭐ |
| 6 | Building Agentic RAG with LlamaIndex | Agentic Systems | ⭐ |
Minimum viable: Courses 1 + 2 + 3 (~2-3 weeks) for solid fundamentals
💡 Key Insights
1. These Are Short, Focused Courses
Unlike semester-long university courses, these are micro-courses designed to be completed in hours, not weeks:
- Most are 1-3 hours
- Hands-on coding from day one
- No fluff, just building
2. Don’t Hoard Courses — Complete Them
It’s tempting to bookmark all these courses and feel productive. But:
Watching 10% of 10 courses < Completing 1 course 100%
Pick one course. Finish it. Then pick the next.
3. Build Alongside Learning
Don’t just watch lectures. For each course:
- Complete the coding exercises
- Build a mini-project using the concepts
- Share what you build (GitHub, blog, social)
🎓 What Makes These Courses Special
| Aspect | These Courses | Typical Tutorial |
|---|---|---|
| Instructors | Industry experts (Microsoft, DeepLearning.AI) | Variable quality |
| Content | Cutting-edge, production-ready | Often outdated |
| Format | Interactive, hands-on | Passive video watching |
| Credential | Recognized certificates | None or paid |
| Cost | Free | Often $50-200+ |
You’re learning from the teams building the tools — not just talking about them.
🚀 My Challenge to You
Pick one course from this list.
Commit to finishing it this week.
Start today.
Not “when I have time.” Not “next Monday.” Today.
👉 Which Course Will You Start With?
Drop a comment and share your learning plan. Accountability helps — tell someone what you’re committing to.
The knowledge to build real AI applications is now free. The question is: what will you build with it?
📚 Additional Resources
- DeepLearning.AI — More short courses
- LlamaIndex Docs — Official documentation
- LangChain Docs — Official documentation
- Hugging Face — Models and datasets
This post is part of the Informatics series on AI education and career development.
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