AI Engineering Roadmap

A structured learning roadmap, notes, and resources for AI Engineering (LLM Engineering, RAG, fine-tuning, agents, and production AI systems).

Who this is for

• Engineers who want a clear learning sequence
• Builders who want practical, system-level understanding
• Beginners who want structured notes with curated links

How to use this repo

1. Start with Environment setup if needed
2. Pick a track from the table below
3. Read notes.md first, then resources.md for each topic
4. Try the labs/ demos when available
5. Check out Projects for real builds

Learning tracks

Track	Topics covered	Status
LLM Engineering	Frontier Models, Types of LLMs, Agentic AI, Gradio UI, RAG	5 topics done
RAG Systems	—	Planned
Fine-tuning	—	Planned
Agents	—	Planned

Projects

Project	Tech	Link
Prompt Critic & Optimizer	Python, OpenAI, Gradio	GitHub

See all projects → projects/

Contributing

See CONTRIBUTING.md.

Credits

Learning AI engineering and adding research and system-level notes here.