AI Engineering

Most people know how to chat with AI. Far fewer know how to turn a model into a product people can rely on.

AI Engineering is the course for builders who want to ship real AI applications, systems that retrieve knowledge, call tools, remember context, and stay grounded in your data.

You will move from “I can write prompts” to “I can design, build, and deploy an intelligent application.” The focus is practical: APIs, RAG, agents, databases, evaluation, and deployment, not academic machine learning theory.

By the end, you will have a production-ready AI application you can run, show, and iterate on, the kind of project that proves you can build with AI, not just talk about it.

What you'll build

Your main project: AI Agent, A production-ready AI application.

• Customer support knowledge agent
• Document Q&A with citations
• Task-routing multi-tool agent

What you'll learn

Skills you can apply immediately, not theory for its own sake.

• How modern AI applications work
• Working with LLM APIs
• Building AI agents
• Retrieval-augmented generation
• Connecting AI to external tools
• Working with databases
• Deploying AI applications
• Designing practical AI systems

How the curriculum is structured

Each module builds toward shipping. You learn a concept, then put it into a working piece of the project.