Udemy
MCP : Agent Skill, Claude Code, GenAI Model Context Protocol
Artificial Intelligence · Development
Library / Artificial Intelligence
On Udemy
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:
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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