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Claude Code 101 by Anthropic
Free Download Claude Code 101 by Anthropic
Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With Claude Code 101 by Anthropic, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Released 8/2026
With Anthropic
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 7m | Size: 113 MB
Learn how to use Claude Code effectively in your daily development workflow. See how to install Claude Code across multiple environments, and how to write prompts that get good results.
Course details
AI coding agents are changing what it means to write software. Tasks that used to take an afternoon — tracing a bug across a large codebase, scaffolding a new service, reviewing a stack of pull requests — can now happen in a single focused session, with an agent that reads your code, runs your commands, and edits files alongside you. But getting real value from an agent requires more than installing it and typing a request. It requires understanding how the agent thinks, what context it has access to, and how to steer it when it heads in the wrong direction. This course teaches developers how to use Claude Code effectively, whether you're new to software engineering or an experienced engineer who hasn't yet worked with AI coding agents. The course starts with principles — what an agentic loop actually is, how the context window shapes what Claude can see, how tools and permissions determine what it can do — so that the techniques later in the course make sense rather than feeling like a list of tricks to memorize. Learn how to install Claude Code across multiple environments (terminal, VS Code, JetBrains, Claude Desktop, and the web), and how to write prompts that get good results on the first try using approval mode, auto-accept, and Plan Mode. The core of the course is the Explore → Plan → Code → Commit workflow: a repeatable rhythm for breaking down a task, letting Claude propose an approach, reviewing the work as it happens, and landing it cleanly. The course also covers code review with Claude Code and the context-management commands (/compact, /clear, /context) that keep long sessions productive. The final section is about making Claude Code your own. You'll write a CLAUDE.md file so Claude remembers your project's conventions across sessions, build custom subagents and skills for tasks you repeat often, connect external systems through MCP servers, and write hooks that add deterministic guardrails around what Claude is allowed to do. By the end of the course, you'll have a setup tailored to how you actually work — not a generic install. Note: This course was created by Anthropic. We are pleased to host this content in our library. Prerequisites Basic familiarity with a code editor and the command line A Claude account (Pro, Max, or Enterprise) or an API key Audience New developers getting into software engineering who want to learn AI-assisted workflows from the start Experienced engineers who are curious about coding agents but haven't taken the plunge yet Learning objectives Explain what an AI coding agent is and how Claude Code differs from chat-based AI tools. Describe how the agentic loop, context window, tools, and permissions work together. Install and set up Claude Code in the terminal, VS Code, JetBrains, Claude Desktop, or on the web. Write effective prompts using approval mode, auto-accept, and Plan Mode. Follow the Explore → Plan → Code → Commit workflow for any feature or task. Manage your context window with /compact, /clear, and /context to stay productive. Create and maintain a CLAUDE.md file to give Claude persistent project memory. Build custom subagents to delegate tasks and keep your main context clean. Connect external tools and data sources using MCP servers. Write hooks for deterministic control over formatting, command blocking, and notifications.
Skills covered
Anthropic Claude, Artificial Intelligence (AI), Claude Code
Homepage
https://www.linkedin.com/learning/claude-code-101-by-anthropic
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