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The course uses a single project, a web radio station, to show how Claude Code fits into a full development cycle. It starts with quick prototyping through conversational prompts, then shifts toward refactoring, tests, security scanning and continuous integration as the app matures.
Later sections cover speed and responsiveness tuning, turning a wireframe and style guide into a finished interface, and version control on GitHub. GitHub Actions with Claude-powered pull request review and issue handling show how the assistant can sit inside a team workflow, while subagents keep specialised tasks out of the main conversation.
AI is changing how software is built — and if you’re not learning how to work with AI coding assistants, you’re falling behind.
In this hands-on, project-based course, you’ll master Anthropic's Claude Code, an advanced AI coding assistant that runs directly from the command line (CLI). Guided by Frank Kane, former senior engineer and senior manager at Amazon — and instructor to over one million learners worldwide — you’ll learn how to collaborate with Claude Code to massively boost your productivity while maintaining professional development standards.
This course is aimed at beginners who are new to Claude Code.
Together, we’ll build a complete online radio station web app from scratch — starting with fast, AI-assisted “vibe coding” to get a working prototype up and running in minutes. Then we’ll take it further — all the way to production.
You’ll learn how to use Claude Code to:
Build and refactor a real full-stack web application through conversational prompts
Implement unit tests, security scans, and continuous integration (CI)
Optimize site speed and responsiveness for production environments
Translate a wireframe and style guide into a professional UI/UX
Integrate with GitHub for effective version control and collaboration
Automate workflows with Claude-powered GitHub Actions
Automatically review pull requests using AI
Close GitHub issues by simply tagging @claude with instructions
Use Subagents for specific development tasks without polluting your context window
Use Model Context Protocol (MCP) to integrate Claude Code with external systems
This isn’t just a playground for AI tools — it’s a realistic journey through a full development lifecycle. You’ll experience the limitations of AI assistants firsthand, and learn how your human insight is essential in steering Claude toward clean, secure, and maintainable code.
Note: Claude Code is not free. If you want to follow along hands-on in this course, expect to spend around $10-$20 in Claude API credits. You can of course just watch and learn for free!
Why this course matters:
Companies are actively expecting developers to incorporate AI tools into their workflows. Claude Code represents the next evolution in developer productivity, and understanding how to wield it effectively will give you a serious edge in the job market.
By the end of this course, you’ll walk away with:
A deployable, professional-grade web app
Practical experience pairing with a command-line AI agent
Confidence to bring Claude Code into your real-world projects
Who this course is for:
Developers looking to harness AI to code faster and smarter
Software engineers preparing for AI-integrated workflows in the workplace
Tech professionals who want to stay ahead of the curve in the AI era
Anyone who wants to go beyond prototyping and build real, production-ready software with AI
Join today, and future-proof your development skills with Claude Code.
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Tracking since 15 Nov — not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
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