Courses on Building AI Agents

22 courses for developers building AI agents — systems that use a language model to reason, choose actions, call tools, and complete multi-step tasks with limited supervision. They're about construction, not concept: wiring up tools, memory, and control flow so an agent can actually get useful work done.

An AI agent is what you get when a language model is given goals, tools, and the ability to decide its own next step — and building one reliably is a genuine engineering discipline. These courses are for developers doing exactly that: connecting models to tools and APIs, giving agents memory and state, orchestrating several steps or several agents toward a goal, and handling the ways autonomy goes wrong. You'll work with the frameworks and patterns the field is converging on and build agents that do real tasks rather than demos. This is the builder's counterpart to understanding what an agent is — if you already grasp the idea and want to make one work, start here.

Building AI Agents courses

22 courses on the Develop AI track.

Frequently asked questions

What does it take to build an AI agent?
Building an agent means connecting a language model to tools and data, giving it memory and a way to plan multiple steps, and adding control and guardrails so it acts reliably — which is why these courses focus on frameworks, orchestration, and hands-on coding.
How are these different from the AI Agents concept pages?
The glossary and topic pages explain what an AI agent is, while these Develop AI courses are for building one in code — tools, memory, orchestration, and deployment.
Do I need to know a specific agent framework first?
No — these courses typically teach the frameworks and patterns as they go, though solid general programming experience is assumed, since building agents is hands-on development work.

Key concepts

The foundational terms these courses build on — each chip links to a plain-English definition in the AI Pinnacle glossary.