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Become an AI engineer in 100 days

141 lessons · ~160h · 12-16 weeks · intermediate

⏱ How long will this take you? ~160h total → 11 weeks at 15h/week (the title's pace) · 16 weeks at 10h/week · 40 weeks at 4h/week (45 min/day, 5 days). Pick the row that matches your real schedule.

Your progress

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Outcome

Ship a production RAG system and a tool-using chatbot, talk fluently about evals, model fine-tuning trade-offs, and prompt versioning.

Why this path

AI Engineering is one of the fastest-growing junior areas right now. The entry signal teams look for is 'has shipped a real LLM-backed system, not a demo.' This path takes you from Python basics through agentic patterns to deploying an evaluated, instrumented production system.

Resume bullet (when finished)

“Built a tool-using Claude chatbot with RAG over private docs, 30-item golden eval suite running in CI, deployed on Fly.io with full observability.”

Stages (4)

STAGE 1

Module 1 · Python you'll need (weeks 1-3)

~30h · 40 lessons

+ 34 more lessons in this stage

STAGE 2

Module 2 · API fundamentals + tool use (weeks 4-7)

~45h · 50 lessons

+ 44 more lessons in this stage

STAGE 3

Module 3 · RAG + production AI (weeks 8-11)

~50h · 50 lessons

+ 44 more lessons in this stage

STAGE 4

Module 4 · Project Studio — ship a real agent (weeks 12-15)

~35h · 1 lessons

ai-eng-100🏆 Capstone: build a model router for cost + latency🤖

Ready to start?

Start with the first lesson →