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Unclaimed ProfileIn "Claude Code: Building Faster with AI, from Prototype to Prod," Sundog Education's Frank Kane delivers a highly practical guide to integrating Anthropic's revolutionary CLI-based AI agent into your software development lifecycle. Designed for developers eager to boost their productivity, this course transitions you from theoretical AI prompts to hands-on, production-ready engineering. Throughout the curriculum, you will build a sophisticated, full-stack online radio station web application entirely driven by natural language commands via the command line interface. You will master the art of using Claude Code to write clean code, refactor legacy scripts, and implement unit tests effortlessly. Beyond basic syntax generation, the course emphasizes modern DevOps integration, teaching you to leverage Claude within GitHub Actions to automate pull request reviews, resolve active repository issues, and configure robust CI/CD pipelines. Security is also a prime focus; you will learn to scan for vulnerabilities and optimize system performance under Claude's guidance. Crucially, the training instills the critical skill of balancing automated AI efficiency with human engineering oversight, helping you recognize precisely when to rely on Claude's output and when your human judgment must steer the project. Whether you are a beginner looking to understand AI-assisted workflows or an experienced developer aiming to accelerate your delivery pipeline, this course provides the strategic and technical foundation required to build, test, and ship applications at unprecedented speeds.
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Sundog Education by Frank Kane
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Frank Kane is the founder of Sundog Education, an online learning platform dedicated to making highly technical concepts accessible to developers worldwide. With a rich background that includes over nine years as a senior engineer and manager at Amazon and IMDb, Frank brings real-world industry expertise directly into his curriculum. Over his career, he has designed and managed massive distributed systems, a foundation that informs his popular courses on System Design and Cloud Computing. As technology has shifted, Frank has transitioned his focus to modern artificial intelligence, machine learning, and generative AI frameworks. He specializes in translating cutting-edge developments, such…Show more
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Program Overview
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Price may change · updated within 1–2 weeks
Course language
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
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
Best For
- Software developers looking to integrate AI agents directly into their command-line workflows.
- Engineers aiming to accelerate full-stack development through natural language automation.
- DevOps practitioners interested in automating pull request reviews and CI/CD pipelines with Claude.
- Programmers wanting to transition from simple AI code generation to production-level application deployment.
Not For
- Complete programming beginners who lack foundational knowledge of web development and Git.
- Professionals seeking a non-technical, high-level overview of AI strategy without hands-on coding.
- Developers who are strictly prohibited from using AI-assisted coding tools due to enterprise security constraints.
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