Stop building chatbots. Start engineering agents.

This course is your end-to-end blueprint for designing, testing, and deploying autonomous agents that drive real-world workflows. You'll master the full AI engineering lifecycle and ship a capable agent that doesn’t just answer questions, but gets the work done.

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.