Building Agentic AI
Build AI agents that take action: the Claude API, tool use, MCP servers, retrieval, multi-agent designs, evaluation and safe deployment, ending with a capstone.
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Module 1 · Getting started
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Welcome to the course
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What makes an agent
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Readiness check
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Module 2 · The Claude API
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Your first API call
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Messages, system prompts and streaming
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Module 3 · Tool use
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Giving Claude tools
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Lab: an agent that queries SQL Server
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Module 4 · Agent design patterns
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Workflows vs agents
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Planning, routing and reflection
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Module 5 · Model Context Protocol (MCP)
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How MCP works
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Lab: build an MCP server
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Module 6 · Memory and retrieval
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RAG fundamentals
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Lab: answer questions over your documents
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Module 7 · Multi-agent systems
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Orchestrators and subagents
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Lab: a research team of agents
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Module 8 · Evaluation and safety
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Testing agents with evals
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Guardrails and human approval
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Module 9 · Deployment and capstone
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Deploying an agent
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Capstone project
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