Skip the rabbit hole. Start with the signal.
Five short lessons, five diagrams, one quiz. About three minutes a topic.
From the MCP Quick Lesson
How a call travels
Five short lessons, one quiz, and the diagrams that make them click.
Here is the Model Context Protocol Quick Lesson, opened up. Follow the trail, or jump to any stop.
Six stops. Follow them in order, or jump to any one.
What MCP actually is
A shared way for an AI model to reach the tools and data it does not have inside it. Strip away the acronym and it is an adapter.
Where MCP sits
The model reasons; MCP is how it reaches everything else.
Sample structure — swap in the real lesson titles and diagrams.
Pick a topic. Find your starting point.
A sample of what is live. Explore the ideas shaping how modern teams build, work, and make decisions.
Agent Architect
Designing multi-step AI agents that actually finish the job
Agentic AI Engineer
Building AI systems that plan, act, and complete multi-step tasks
Agentic Workflow Engineer
Orchestrating multiple agents and steps into one reliable process
AI Application Engineer
Building full, cohesive apps around AI's unpredictability
AI Automation Engineer
Using AI to automate real business workflows end-to-end
AI Design Engineer
Building the interactive details that make an AI interface actually feel right
Understand the fundamentals. Then decide how far you want to go.
Model Context Protocol
Understand the fundamentals — five lessons, one quiz, about three minutes.
5 topics · Free
Model Context Protocol: Build Production-Ready AI Integrations
Build deeper capability — the full programme, from first integration to production.
28 sessions
What's worth understanding next?
Get the foundation first. Depth is optional — and it's your call.
Evals and Guardrails
Knowing whether the thing works before your users tell you it does not.
5 topics · about 3 min