Description

This is not another “learn the basics” course. You’ll build and deploy a real application from an empty Git repo to a live production URL, using Claude Code as your AI development partner.In this hands-on masterclass, you’ll follow a complete professional development workflow, the same process real teams use to plan, build, test, and ship software with AI.HERE’S WHAT YOU’LL DO:Phase 1 — Project Setup & Context Engineering Start with an empty Git repo. Connect Claude Code. Generate your project’s core documentation — auth, ui, routing, security, and deployment, and many more. These context docs become the backbone that makes Claude Code write consistent, production-quality code.Phase 2 — Feature Development with Agentic Workflows Create feature branches. Request features in plain English. Claude reads your docs, builds a feature plan, you approve, and Claude writes the code. Tests are handled by a Claude sub-agent. You stay in control.Phase 3 — Feature Deployment & Preview Pipelines Push to remote. Create pull requests. Trigger GitHub preview pipelines. Deploy feature branches to Vercel. Verify everything works before anything touches main.Phase 4 — Human Review & Test Feature Deployment Review AI-generated code. Test preview deployments. Approve what’s ready. Reject what’s not. AI writes the code — you make the decisions.Phase 5 — Production Deployment Approve PRs. Merge to main. Run production CI pipeline. Re-run tests. Deploy live. Release complete.Most courses teach features in isolation. This course connects everything into one end-to-end pipeline, the way real teams actually ship software. You’ll walk away with a complete, repeatable system you can use on every project.This course teaches a workflow, not just a tool. Enroll now and start shipping real apps with Claude Code.