Roadmap

How to Build AI Agents — Free Video Roadmap

A step-by-step path through the best free YouTube videos on building AI agents — from the core ideas, to tool use with MCP, to hands-on framework courses, orchestration, and shipping to production. Built from 11 agent frameworks and 30 hand-sequenced videos.

Best agent-building channels → All AI tools →

To learn to build AI agents in 2026, follow this order: understand the agent loop, add tool use with the Model Context Protocol (MCP), build hands-on with a framework like LangGraph or CrewAI, then add orchestration and memory and ship to production. This roadmap sequences 30 of the best free YouTube videos — beginning with "LangChain Explained in 13 Minutes | QuickStart Tutorial for Beginners" by Rabbitmetrics (1,127,407 views).

Step 1

What Are AI Agents?

Foundations before any framework — what agents are, how they reason, and the core loop

Step 2

Tool Use & Context (MCP)

How agents reach the outside world — tool calling and the Model Context Protocol

Step 3

Build With a Framework

Hands-on courses for LangGraph, CrewAI, AutoGen, Google ADK, LangChain and LlamaIndex

Step 4

Orchestration, Memory & Multi-Agent

Coordinate multiple agents, add memory, and design reliable agent workflows

Step 5

Ship to Production

Deploy, scale, and observe real agents — AgentCore, n8n automation, and cloud runtimes

Step 6

Stay Current

The freshest agent-building videos from the last 6 months

Go Deeper: Per-Framework Roadmaps

AWS Bedrock AgentCoreAutoGenCrewAIGensparkGoogle ADKLangChainLangGraphLlamaIndexMCP (Model Context Protocol)n8nSpec-Driven Development