This is my personal learning roadmap for Agentic AI Development. I'm sharing every step I take, from beginner-friendly Python basics to advanced agentic AI concepts. I'm including the resources I use, the projects I build, and all the progress I make, so anyone can follow along and learn too.
I wanted to create a free, community-driven guide to help anyone interested in agentic AI, especially those who might not have formal training or a big budget for courses. I believe in sharing knowledge, keeping it practical, and building things together.
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Python Basics (Foundation)
- Tutorials and exercises for the Python skills needed for agentic AI.
- Not for total beginners, but for folks with basic coding knowledge who want to get comfortable with the tools we’ll use.
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Agentic AI Concepts (Phase 1)
- What agentic AI is and why it matters.
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Core Tools (Phase 2)
- Frameworks like LangChain and LlamaIndex that help us build agents.
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Building Your First Agent (Phase 3)
- Hands-on guides to making a simple agent from scratch.
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Memory, Tools & APIs (Phase 4)
- Letting your agent remember things and use external tools.
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Advanced Topics (Phase 5)
- Planning, reasoning, and making sure agents stay aligned.
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Real-World Projects (Phase 6)
- Putting everything together in actual projects.
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Resources and Links
- The best docs, blogs, videos, and other materials I found.
If you're learning too, feel free to fork this repo, share your notes, or suggest improvements. Let’s make learning agentic AI easier for everyone.
| Phase | Folder Name | Description |
|---|---|---|
| 0 | 00_python_basics |
Python tutorials and exercises |
| 1 | 01_agentic_ai_intro |
Concepts and definitions |
| 2 | 02_core_tools |
LangChain, LlamaIndex, etc. |
| 3 | 03_build_first_agent |
First agent project |
| 4 | 04_memory_tools |
Memory, tool integration, APIs |
| 5 | 05_planning |
Planning, reasoning, safety |
| 6 | 06_real_world_projects |
Real-world agent projects |
| 7 | 07_continuous_learning |
Community, news, and resources |