Claude Code 101: Learn the Agentic Coding Tool That Lives in Your Terminal
The Claude Code course offers a structured, 1.5-hour path to mastering Claude Code, an agentic coding tool that lives directly in your terminal. Spanning 12 lessons and a final quiz, the course is designed to take developers from first principles all the way to building a fully customized setup tailored to their own workflow.
By the end of the course, learners will be able to explain what an AI coding agent actually is and how it differs from chat-based AI tools, understand how the agentic loop works alongside context windows, tools, and permissions, and install Claude Code across multiple environments including the terminal, VS Code, JetBrains, Claude Desktop, or the web.
Why This Claude Code Course Matters Now
AI coding agents are fundamentally changing what it means to write software. Tasks that once took an entire afternoon, tracing a bug across a large codebase, scaffolding a new service, or reviewing a stack of pull requests, can now happen within a single focused session, with an agent that reads code, runs commands, and edits files alongside the developer.
However, getting genuine value from a coding agent requires more than simply installing it and typing a request. It requires understanding how the agent actually thinks, what context it has access to at any given moment, and how to effectively steer it when a task heads in the wrong direction. This course is built specifically to teach that deeper understanding, starting from first principles like what an agentic loop actually is, rather than presenting later techniques as an arbitrary list of tricks to memorize.
What the Claude Code Course Covers
The course walks through installing Claude Code across multiple environments, then teaches how to write prompts that get strong results on the first attempt, using approval mode, auto-accept, and Plan Mode depending on the task at hand.
At the core of the course sits the Explore, Plan, Code, Commit workflow, a repeatable rhythm for breaking down any task, letting Claude propose an approach, reviewing the work as it happens in real time, and landing changes cleanly. The course also covers code review practices using Claude Code, along with essential context-management commands like /compact, /clear, and /context that keep longer working sessions productive rather than bogged down.
The final section focuses on genuine customization. Learners write a CLAUDE.md file so Claude retains project-specific conventions across sessions, build custom subagents and skills for frequently repeated tasks, connect external systems through MCP servers, and write hooks that add deterministic guardrails around exactly what Claude is permitted to do.
Course Structure Breakdown
The course is organized into four core sections. “What is Claude Code?” spans two lessons explaining what separates an AI coding agent from a standard chat-based assistant, walking through the agentic loop of gathering context, taking action, and verifying results.
“Your first prompt” covers two lessons focused on getting Claude Code running in whichever environment a developer already works in, then writing an initial prompt to see firsthand how approval mode, auto-accept, and Plan Mode each change Claude’s behavior.
“Daily workflows” spans three lessons covering the Explore, Plan, Code, Commit rhythm for tackling real tasks, alongside context-management commands and techniques for reviewing Claude’s changes before committing them.
Finally, “Customizing Claude Code” rounds out the course across five lessons, covering everything from writing a CLAUDE.md file to building subagents, connecting MCP servers, and adding deterministic hooks for greater control.
Who Should Take This Claude Code Course
The course is designed for two main audiences: new developers entering software engineering who want to build AI-assisted workflows from the very start, and experienced engineers curious about coding agents but who haven’t yet taken the plunge into using one seriously. For anyone who has previously tried a coding assistant and found the results underwhelming, the course is specifically designed to demonstrate what changes when working genuinely with an agent, rather than working against one.
Recommended prerequisites include basic familiarity with a code editor and the command line, along with an active Claude account on the Pro, Max, or Enterprise plan, or an API key. No prior experience with AI coding tools is assumed going in.
Source: This article is based on official course material from Anthropic.