Learning Path
9 phases from fundamentals to production
0Day 1
Getting Started
Map the AI engineering landscape and understand how your SWE skills transfer.
1 lessons
1Days 2–18
LLM Foundations
Communicate with LLMs programmatically and force predictable, structured output.
17 lessons Capstone
2Days 19–34
RAG and Tool Calling
Build RAG systems, vector databases, and give your LLM tools to call.
16 lessons Capstone
3Days 35–49
Single Agent
Build cyclical agents that can plan, execute, and correct their own mistakes.
15 lessons Capstone
4Days 50–55
Multi Agent Systems
Design multi-agent systems with supervisor, worker, and debate patterns.
6 lessons
5Days 56–73
Evaluation and Security
Evaluate AI systems, defend against prompt injection, and build guardrails.
18 lessons Capstone
6Days 74–82
Advanced Finetuning
Fine-tune models, train custom adapters, and optimize for your domain.
9 lessons
7Days 83–97
Production Deployment
Deploy your agents with FastAPI, Docker, streaming, and monitoring.
15 lessons Capstone
8Days 98–100
Career Launch
Package your work into a portfolio and prepare for AI engineering interviews.
3 lessons