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

Name: Claude Code: Building Faster with AI, from Prototype to Prod
Rating: 4.4 (9273 reviews)

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

Created bySundog Education by Frank Kane, Frank Kane

Last updated 4/2026

English

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

Course content

7 sections • 38 lectures • 4h 15m total length

Introduction, Claude Code Installation Overview4:42
Setup Lecture: Installing Claude Code and its Dependencies10:41
Install Claude Code and its dependencies, set up a Ubuntu virtual machine with VirtualBox, and connect to your account to start prototyping the Radio Calico project in a sandbox.
Using Claude Code through AWS Bedrock or GCP Vertex AI6:57
Explore deploying Claude Code via AWS Bedrock or Google Vertex AI, selecting primary sonnet and fast haiku models, and manage corporate billing, IAM, and deployment considerations.
Best Practices for Agentic AI Coding with Claude Code5:07
Agile vs. Waterfall Approaches with Claude Code1:00

Intro: Taking our App from Prototype to Production1:40
What We're Building: Radio Calico, an Online Radio Station Web App3:43
Build the front end of an online radio station that streams lossless HLS audio, displays metadata and album art, and supports a PostgreSQL-backed rating API in a production docker setup.
Setting Up our Development Environment (Express.js and SQLite)10:58
A Note about AI and Non-Determinism1:37
"Vibe Coding" the Initial Prototype of the Radio Calico Web Player8:36
Simplifying the Player Widget6:04
Adding the "Now Playing" Feature5:26
Add a now playing widget and a recently played widget that fetches metadata from metadata v2 JSON file every 10 seconds, displaying the song, artist, album, year, and audio quality.
Debugging the Recently Played Widget with Claude, and Adding Album Art5:50
Adding the User Ratings Feature12:20

Implementing Site UI/UX From a Style Guide with Claude7:32
Apply the Radio Calico style guide to the site UI/UX with Claude, adjusting CSS, colors, fonts, and the logo to match the target layout, and test locally on localhost:3000.
Implementing Site UI/UX From a Wireframe Image12:04
Translate a wireframe image into a live user interface and user experience by iterating the header, main content, and audio player, balancing static design with real-time metadata updates and debugging.
Further Tweaks of the Site UI, using Claude Code5:53
Refine the site ui by removing the year overlay on album art and moving the player to the right of the art under the ratings widget, matching the style guide.

Building Unit Tests with Claude Code10:03
Use Claude Code to automatically generate a Jest-based unit testing framework for a frontend and backend ratings system, with isolated tests, DOM testing without browser dependencies, and npm test.
Creating Docker Containers with Claude7:38
Debugging Claude's Docker Implementation6:32
Switching to Production-Grade Infrastructure (nginx, PostgreSQL)9:39
If You're Following Along...0:27
Adding Security Scans with Claude and npm audit3:54
Continuous Integration (CI) of our Unit Tests and Security Scans8:38
Debugging Claude's Implementation of Continuous Integration8:17
Analyzing and Improving Page Speed with Claude Code12:08
Creating Architecture Diagrams with Claude4:35

Requirements

Basic experience with software development and the command line
Familiarity with web development concepts (HTML, CSS, JavaScript, and backend frameworks)
A GitHub account and some experience using Git for version control
Comfort installing and running command-line tools on your computer
No prior experience with Claude Code or AI coding assistants required — you’ll learn as you go!

Description

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.

Who this course is for:

Software developers and engineers curious about using AI coding assistants in real-world projects
Developers who want to boost productivity by integrating Claude Code into their workflow
Professionals aiming to stay competitive as AI tools become standard in modern development

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

What you'll learn

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Course content

Getting Started with Claude Code5 lectures • 28min

Building the Initial Prototype of "Radio Calico"9 lectures • 56min

Refining the User Interface with AI3 lectures • 25min

Integration with Visual Studio Code and GitHub6 lectures • 44min

Taking It to Production10 lectures • 1hr 12min

Advanced Claude Code Usage3 lectures • 27min

Wrapping Up2 lectures • 1min

Requirements

Description

Who this course is for: