Claude Code Masterclass: Build & Deploy App with AI

Stop using AI like a search engine. Start using it like a teammate.

Most developers use AI the wrong way. They ask a chatbot for code, paste it in, and ship it, hoping it works. This Claude Code course teaches the discipline that separates engineers who ship reliable software from those who ship and hope.

You will build a real, full-stack production application with Claude Code, from your first prompt to a live HTTPS URL on Google Cloud Run. Not a toy project. A complete app with a database, JWT authentication, role-based access control, and a real deployment pipeline.

Throughout the course you will learn one core principle of professional AI development: "Done" is not the same as "Verified." The AI does the work. You do the verification.

What you will learn

• Install, configure, and master Claude Code the right way

• Control the agentic loop with permissions and checkpoints

• Give Claude project memory using a CLAUDE markdown file

• Use slash commands for precise, repeatable workflows

• Run parallel agents with sub-agents and Git worktrees

• Build a full FastAPI backend and wire it to a real frontend

• Practice spec-driven development with custom commands and skills

• Add production-grade JWT authentication and role-based access control

• Connect Claude to GitHub using the Model Context Protocol (MCP)

• Package your app with Docker and deploy it to Google Cloud Run

• Apply the "Done vs Verified" discipline to everything you build

What you will build

Every lesson builds one real project: the Telusko Workflow Engine, a Kanban-style content production tracker with full authentication and role-based permissions.

Your finished application includes:

• A FastAPI backend with async SQLAlchemy 2.0, Pydantic v2, and Alembic

• A clean vanilla JavaScript frontend with no framework bloat

• JWT authentication with bcrypt-hashed passwords

• Server-side role-based access control across four user roles

• GitHub integration through the Model Context Protocol (MCP)

• A Docker container and a live deployment on Google Cloud Run

You will deploy your own version and get a real public URL you can open on any device.

Why this course is different

This is a single production project built across every lecture, not a set of disconnected tricks. You learn how the pieces fit together in a real workflow.

It is honest about the limits. You learn when to trust Claude Code, when to verify, and when to take the wheel yourself.

It treats you like an engineer. You learn to read every diff and verify every change, so you can apply these patterns to your own projects long after the course ends.

Every prompt, spec file, and command used in the course is included as a downloadable resource.

Who this course is for

• Developers new to AI tools who want to learn agentic development correctly from the start

• Developers already using ChatGPT, Claude, or Copilot who want to level up from AI user to AI engineer

• Full-stack, backend, and Python developers who want a project-based path to mastering Claude Code

• Anyone who wants a production-ready application in their portfolio

This is not a no-code course. It is for people who write code and want AI to make them far more effective.

Requirements

• Basic programming familiarity (you should be comfortable reading and writing code)

• Some exposure to Python, JavaScript, or the command line is helpful

• A Windows or Mac computer (both are covered)

• No prior experience with Claude Code or AI agents required
  

Ready to build?

By the end of this course you will have a real application deployed to the internet, a portfolio project you are proud of, and the discipline to build reliably with AI on your own work.

Enroll now and start building.