Free curriculum · Open source
The notebook that should have existed the day you decided to learn agents
Agentic AI Notebook 2026 is not another box-and-arrow roadmap. It is a full curriculum for software engineers — lessons, diagrams, code, projects, and interview prep in one place.
Why this exists
Hundreds of AI roadmaps. Almost none teach you how to actually learn.
Typical roadmap sites
- Boxes and arrows — what to learn, never how
- No notes to revise the night before an interview
- No architecture, no code, no hour-by-hour build
- You still have to Google the rest
This notebook
- Every module is a lesson — concept through production
- Diagrams first, then the why, then working code
- Projects with blueprints, not a title and a prayer
- Interview questions sitting next to the topic they test
The approach
Roadmap.sh energy. Course-level depth. Interview handbook included.
Think a learning path, a lab, and a revision notebook fused together. Every topic follows the same spine so you never wonder what to do next.
Built for
Engineers, by engineers
If you can ship software, you can learn this stack. Intuition over proofs. Production over papers. Enough depth to pass interviews and keep systems up.
Software engineers
Full stack, backend, frontend — you already ship code. This is the AI layer.
Career switchers
Experienced developers entering AI engineering without starting from a textbook.
Self-learners
A structured path. No bootcamp price tag. Progress that actually saves.
Interview prep
Theory, coding, and system design for agent and AI platform roles.
Not built for
Researchers and proof-first paths
AI researchers, PhD students, or anyone who wants heavy mathematical derivations. This curriculum is engineering-focused — interviews and production, with intuition over equations.
Open curriculum
Contribute while you learn
The notebook is meant to grow with the people using it. Spot something unclear? Have a better example? Leave it better than you found it — that is how this project is supposed to work.
- Fix typos or unclear explanations in any module
- Add revision notes from your own study sessions
- Suggest better code examples or real-world analogies
- Propose glossary terms or interview questions
Start where you are
New to the stack? Begin with programming foundations. Already shipping backends? Jump to GenAI and keep moving.