Try AI Engineering for Free. Become Career-Ready in 35 Lessons.

The free preview lets you run a multi-agent system. The full course teaches you to build one from scratch and every engineering skill for the role.

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Built for:

  • Software Engineers
  • Developers
  • Data Engineers
  • AI/ML Enthusiasts

Inside the System You'll Build: 

You will build a multi-agent system with MCP servers, deep research algorithms, an evaluator-optimizer workflow, an observability layer, and LLM-as-judge evals. This is a working MCP prototype of the production systems you'll build across the full course. 📩 Want to take this system to production? We'll send you exactly how, watch your inbox and spam.

Free Preview Unlocks: 

7 Full Lessons From the Course

Full lessons with code you can run: from building your first agent prototypes to the foundational techniques that power every production system.

5 Code Lessons With Production Patterns

Context engineering, structured outputs, tool calling, chaining, and routing, each built from scratch, which you can reference, reuse, and build on.

2 MCP Agents Ready for Your GitHub

A research agent and a self-editing writing workflow: working, documented, and portfolio-ready before you spend anything.

Full Course Unlocks:

The full course takes you from prototype to production in 35 lessons. You will build production systems from scratch with LangGraph, ReAct, RAG, persistent memory, multi-agent orchestration, calibrated evals, observability, and GCP cloud deployment, and walk out with what AI engineering roles are hiring for: the skills to ship AI systems and the portfolio to prove it.