Handbook Roadmap¶
This page is for you — what is in the curriculum now, what is coming next, and how to shape what we add.
What is available today¶
The handbook is a free, open-source path from foundations through production AI engineering.
| Track | What you get |
|---|---|
| Learn | 16 numbered courses — GenAI foundations → RAG → agents → LLMOps → safety → fine-tuning → capstones |
| Start Here | Persona routing, prerequisite chains, and a 4-week career-switcher plan |
| Agent Engineering | Optional deep track on harnesses, tools, orchestration, and agent evals |
| Modern AI (2026) | Optional track on current tooling and workflows |
| Projects & exercises | Portfolio projects, starter/solution code, and course exercises where available |
Best place to begin: Start Here → Learn path
Coming next¶
We improve the handbook continuously. Planned additions that benefit learners:
| Area | Planned work |
|---|---|
| Exercises | More hands-on notebooks for RAG (Course 06) and agents (Course 07) |
| Deep dives | Standalone pages on LoRA, hybrid search tuning, agent tracing, and related topics |
| Observability labs | OpenTelemetry and Langfuse walkthroughs in the LLMOps course |
| Multimodal | Vision + audio modules for image and document understanding |
| Community content | More capstone examples, case studies, and real-world patterns from contributors |
Timelines shift based on contributor capacity. Check GitHub Issues for active work.
Recently added¶
| Release | Highlights |
|---|---|
| v1.1 | Depth expansion for Multi-Agent, Vector DBs, Prompt Engineering, AI Safety, Fine-Tuning, and Capstone courses |
| v1.0 | Full 16-course Learn path, Start Here hub, FAQ, study plans, Agent Engineering track, GitHub Pages site |
See the full history in CHANGELOG.
Help shape the roadmap¶
This is an open project. You can influence what we build next:
- Open an issue — request a topic, report a gap, or suggest an exercise (issues)
- Contribute a lesson — typos, clearer explanations, or new exercises (Contribute)
- Pick a good first issue — labeled tasks for new contributors on GitHub
If something is missing for your learning path, say so — that is how the curriculum grows.