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Career PathsOutcome → AI Engineer

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.

  1. 1

    AI Engineering Foundations

    The AI stack and foundation models

    View course
  2. 2

    Building AI Products

    RAG, agents, and evaluation

    View course
  3. 3

    Scaling & Operating AI Systems

    Cost, safety, and reliability

    View course
  4. 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.