What is the Claude Code Full Course?
The Claude Code Full Course is a free, 82-minute beginner course on using Claude Code, Anthropic’s agentic coding tool. It takes you from installing Claude Code and setting up VS Code to running autonomous goals, using skills, managing context, and deploying an app with MCP. It suits developers who want a quick, practical start with AI-assisted coding.
What will you learn?
You will set up a working local environment and learn the controls that matter most day to day. That means knowing which permission mode to use, how Plan Mode and /goal fit together, where Claude Code keeps its configuration, and how to stop long sessions from running out of context. The final chapters connect Claude Code to GitHub and to external services through the Model Context Protocol.
Who is this course best for?
- Developers trying Claude Code for the first time
- Engineers who already use AI chat tools and want an agent that edits code directly
- Students and self-taught programmers who want to ship small projects faster
- Team leads assessing how an AI coding agent could fit their workflow
How should you study this course?
- Watch chapters 1–5 in one sitting and finish installation before moving on.
- Study permission modes and Plan Mode slowly. They shape every later session.
- Pause after the skills and file structure chapters to set up your own project.
- Practise context management and slash commands on a real task, not a toy example.
- Finish with GitHub and MCP, then deploy something small from start to finish.
Why was this course selected?
It is short but covers the features that separate a productive Claude Code workflow from casual prompting: permission modes, autonomous goals, skills, context management, and MCP. The chapter order also matches how most people actually adopt the tool.
Strengths
- Covers modern features such as
/goal, skills, and MCP rather than only basic prompting
- Clear, accurate chapters make it easy to jump back to a specific topic
- Includes version control and deployment, so the workflow ends with shipped code
Limitations
- At 82 minutes it gives breadth, not depth. Advanced configuration, hooks, and team setups need further study.
- AI tools change fast, so check the official Claude Code documentation for any command that behaves differently in your version.
Practice project ideas
- Personal landing page: plan it in Plan Mode, build it with a goal, commit each step, and deploy it.
- Commit message skill: write a skill that enforces your team’s commit style and use it for a week.
- MCP-connected helper: connect an MCP server for a service you already use and automate one repetitive task.
Career relevance
Engineering teams now expect developers to use AI agents confidently and safely. Showing that you can plan agent work, keep the review loop tight, manage context, and connect tools through MCP is practical, visible evidence of modern development skills.
Original creator credit
This course was published by freeCodeCamp.org and developed by Eric Tech. Free Coding Academy curates and organises publicly available learning media for educational purposes and does not own, host, download, or re-upload the video.