The AI Engineering Program: Module 10 of 13
Agents & MCP
Build agents that use tools, remember context, ask a human before risky steps, and plug into real software through MCP.
32guided hours
13lessons
Onlineself-paced
Lessons
Every lesson: deep notes, curated lectures, an animated explainer, a hands-on lab, practice questions and a timed exam.
- Workflows vs agents: choosing the simplest thing that works
- The tool-use loop, built without a framework
- Planning, reflection and routing patterns
- LangGraph: state, nodes and checkpoints
- Agent memory: short-term and long-term
- Building an MCP server
- MCP clients: connecting agents to spreadsheets, GitHub and databases
- Multi-agent orchestration
- Human-in-the-loop approvals
- Evaluating agents and controlling their cost
- Voice agents, including Indian languages
- Browser and computer-use agents: capabilities and safety
- Module project
Tools introduced: LangGraph, MCP
Module project
Finance-operations agent: reconciles invoices against a ledger through MCP tools, asks for approval before any write, and logs every step.