A developer course on Anthropic's AI coding agent, from installation to customisation. It covers how the agent loop works, a structured explore, plan, code and commit workflow, context management and extending Claude Code with CLAUDE.md files, subagents, skills, MCP and hooks.
The one technical pick: a free, highly regarded hands-on course that teaches coders to build and deploy deep learning models from the first lesson. It was recorded at the University of Queensland and favours practical results over theory.
Objectives
Explain how an AI coding agent differs from chat-based AI
Install and set up Claude Code in a terminal, IDE, desktop app or the web
Follow a structured workflow for features and fixes, and manage the context window
Customise Claude Code with project memory, subagents, MCP connections and hooks
Train and deploy working deep learning models
Build models for images, text and tabular data
Understand how neural networks work under the hood
Use random forests and collaborative filtering where they fit
Consider the ethics of data and model use
Things to know
Technical: aimed at developers, not general professionals.
Practising requires a paid Claude plan or API credit.
Anthropic does not publish a duration on the course page.
Needs coding experience, not suitable for non-technical learners
No certificate
Current version recorded in 2022
Time estimate is 9 lessons of about 90 minutes; practice time is extra, and Part 2 adds over 30 hours
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