Learn to design dependable Claude applications with model selection, reliable API operations, documents, prompting, structured output, bounded tools and agents, MCP, evaluation, and release safeguards.
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Follow the complete Claude AI path from a first API request through model choices, documents, structured outputs, tools, agents, and production evaluation.
Learn a deliberate terminal workflow: inspect a repository, set project guidance, make a bounded change, test it, and review the diff.
Connect Claude tools and MCP services with allowlists, budgets, application authorization, and review gates.
Assemble an evidence-grounded support copilot with citations, a read-only lookup, evaluation cases, and a reversible release.
Use the browser-based Python workspace for the validation and control-flow patterns used throughout the course.
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