Course 2 · Modern AI Agents: From Theory to Production
Google Cloud Tech's 6-part series — context engineering, MCP vs. plain APIs, how MCP actually works, and deploying a real agent + MCP server to Cloud Run. · ~1 hr
Lesson 1 · Context engineering explained: What every AI developer should know
10 min
Lesson 2 · How to deploy an AI agent to Cloud Run (step by step)
14 min
Lesson 3 · MCP vs API: Why traditional APIs are failing AI agents
12 min
Lesson 4 · How Model Context Protocol (MCP) actually works
8 min · locked until previous lesson is complete
Lesson 5 · How to build an AI Agent and MCP Server (step-by-step)
8 min · locked until previous lesson is complete
Lesson 6 · AI agents explained: Build your first agent in 8 minutes
9 min · locked until previous lesson is complete
Course materials
About this course
This course follows Google Cloud Tech's "Modern AI Agents: From Theory to Production" playlist (6 videos, ~60 min total, hosted by Smitha Kolan). Each video's own YouTube description links to a hands-on codelab — follow along there for the step-by-step build.