The harness, not the model, makes a coding agent good.

In this 8-lesson course, you'll learn how to build a Claude Code-style AI coding agent from scratch in Python.

You'll walk away with a working agent and the skills to engineer custom AI harnesses for your own production systems.

Build a fully functional AI Pull Request Reviewer from scratch.

This project-based series guides you through using the Model Context Protocol (MCP) to connect GitHub, Asana, and Slack into a single, automated workflow.

You'll learn to orchestrate a complex system and walk away with a powerful, real-world example of enterprise AI automation.

Master the end-to-end process of building production-ready recommender systems.

This hands-on course uses a real-world H&M dataset to teach you how to architect an ML system, train neural network models, and apply LLM techniques for personalization.

Finally, you'll deploy your system on Kubernetes using KServe and MLOps best practices.