Agentic AI Lab

Agentic AI Lab is a focused learning path for software engineers moving into AI engineering.

The goal is to help engineers prepare for AI engineering roles in about two months, without first taking a full AI or machine learning course.

Start here

• Website: agenticailab.org
• Roadmap: agenticailab.org/roadmap
• GitHub: chaitanya-y/agentic-ai-lab

What is included

• A roadmap of about 100 hours across seven phases
• Plain language phase overviews
• A practical learning path for building LLM applications and agents

Detailed lessons, runnable labs, and the capstone project will be released in phases.

Learning path

1. LLM Fundamentals
2. Prompt Engineering, Context Engineering, and Structured Outputs
3. Retrieval Augmented Generation
4. Tool Calling and Model Context Protocol
5. Agentic Workflows
6. Evaluation, Observability, and Safety
7. Customer Service Agent Capstone

Run the website locally

git clone https://github.com/chaitanya-y/agentic-ai-lab.git
cd agentic-ai-lab/web
npm install
npm run dev

Open http://localhost:5001.

License

MIT