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Detail	Claude Code 101	AWS AI Practitioner Learning Plan
Provider	Anthropic	Amazon Web Services
Our rating	3.5	3.5
Cost	Free	Free
Time	Time not stated	8 hours
Level	Beginner	Beginner
Credential	No credential	certificate of completion (Completion certificate free; certification exam US$100 (about A$143))
Open to	Worldwide	Worldwide
Free in	Worldwide	Worldwide
Content written for	Any country	Any country
Summary	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.	AWS's foundation plan covering AI, machine learning and generative AI concepts, real use cases, responsible AI, prompting and governance. It is more technical than the decision-maker plan and prepares learners for the AWS Certified AI Practitioner exam, which is open to business roles.
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	Explain core AI, machine learning and generative AI concepts Identify suitable AI use cases and their limits Apply responsible AI and governance practices Write effective prompts for foundation models Prepare for the AWS Certified AI Practitioner exam
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.	Skill Builder page could not be loaded directly; course list and free status confirmed from secondary sources Several modules are technical and AWS-specific Exam costs extra Duration estimated at about one hour per course
Our course page	Claude Code 101	AWS AI Practitioner Learning Plan

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