AI Engineer Path
Developers who want to build and ship AI-powered products on top of foundation models.
4 stepsHands-on labsCapstone + portfolioA named role
Save $97 vs. courses separately
By the end, you can
What this path makes you able to do.
- Work the modern AI stack and use foundation models through APIs
- Build AI products with retrieval-augmented generation, agents, and strong evaluation
- Scale and operate AI systems for cost, latency, safety, and reliability
A guided journey, not a pile of courses
The 4-step path.
- 1View course
AI Engineering Foundations
The AI stack and foundation models
- 2View course
Building AI Products
RAG, agents, and evaluation
- 3View course
Scaling & Operating AI Systems
Cost, safety, and reliability
Capstone: ship an AI product feature
A working AI feature built on a foundation model, with evaluation, guardrails, and a cost and reliability plan
Every path is backed by
Hands-on labs. A final exam & capstone. A real role.
You finish with a portfolio you can show, a cumulative exam, and the skills to land the AI Engineer role.
Not sure this is the one? Take the free fit and aptitude check first: twelve short questions, instant answer.