Courses on Building AI Agents
25 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
25 courses on the Develop AI track.
Agentic AI on Google Cloud
Google Skills
Amazon Bedrock AgentCore Getting Started
AWS Skill Builder
Build a Deep Research Agent
NVIDIA Deep Learning Institute
Building Agentic AI Applications with LLMs
NVIDIA Deep Learning Institute
Building AI Agents with Multimodal Models
NVIDIA Deep Learning Institute
Building Generative AI Applications Using Amazon Bedrock
AWS Skill Builder
Building Marketing Workflows with n8n
DataCamp
Building RAG Agents with LLMs
NVIDIA Deep Learning Institute
Building Retrieval Agents on Databricks
Databricks
Building Single-Agent Applications on Databricks
Databricks
Building with the Claude API
Anthropic
Claude Code 101
Anthropic
Claude Platform 101
Anthropic
Develop agents and applications using agentic programming tools
Microsoft Learn
Develop AI agents on Azure
Microsoft Learn
Developing in Agentic AI Systems Part 1 of 2
Microsoft Learn
Developing LLM Applications with LangChain
DataCamp
Fundamentals of Agent Development Kit (ADK)
Google Skills
GitHub Copilot Fundamentals Part 2 of 2
Microsoft Learn
Introduction to agent skills
Anthropic
Introduction to Model Context Protocol
Anthropic
Introduction to subagents
Anthropic
Learn Cursor
Cursor
Model Context Protocol: Advanced Topics
Anthropic
Perform code maintenance tasks using GitHub Copilot Agent
Microsoft Learn
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.