Udemy

Claude Code: Building Faster with AI, from Prototype to Prod

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  • 9,440 Students
  • Updated 2/2026
4.2
(1,615 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 14 Minute(s)
Language
English
Rating
4.2
(1,615 Ratings)
1 views

Course Overview

Claude Code: Building Faster with AI, from Prototype to Prod

Coding with AI agents from the CLI, using Anthropic's Claude Code. Build an online radio station, ready for production!

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.

Course Content

  • 7 section(s)
  • 38 lecture(s)
  • Section 1 Getting Started with Claude Code
  • Section 2 Building the Initial Prototype of "Radio Calico"
  • Section 3 Refining the User Interface with AI
  • Section 4 Integration with Visual Studio Code and GitHub
  • Section 5 Taking It to Production
  • Section 6 Advanced Claude Code Usage
  • Section 7 Wrapping Up

What You’ll Learn

  • Build a full-stack online radio station web app using Claude Code, Use Claude Code to write, refactor, and test code through natural language prompts, Translate wireframes and style guides into polished UI/UX with AI assistance, Automate pull request reviews and issue resolution using Claude in GitHub Actions, Implement security scans, CI/CD pipelines, and performance optimizations with AI, Understand when to rely on AI — and when human engineering judgment is essential

Reviews

  • A
    Artur Farias Marques
    4.5

    As expected from all Sundog Education courses, this one is straightforward and delivers on its promises. The experience, besides being fun, opens your mind to improvements and other uses of the Claude Code. The instructor, Frank Kane, is excellent, truly reliable, and has great teaching skills.

  • L
    Lucas Della
    4.0

    I didn’t have specific expectations regarding the content, so I ended up enjoying it. However, looking at the broader context, I believe the title might not be the most appropriate. Something like “Building a Project from Scratch with Claude” would probably be more accurate. I didn’t see discussions about the pros and cons of different architectures for projects using Claude.

  • K
    Krzysztof Srodon
    5.0

    Gentle introduction to Claude code. It does not contain advanced stuff but for introduction is very good.

  • B
    Bill Glennon
    5.0

    Frank does a great job with his examples and clear explanations. Frank is one of the best instructors on Udemy.

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