
Install cloud code via terminal and verify the installation. Set up your entropic account, pick a pro plan, and initialize the cloud code environment in your project folder.
Connect your project to a database with Supabase and the MCP connector, enabling read and write via cloud code. Create a project, authenticate, and migrate from local storage to Supabase.
AI is changing how software is built, and Claude Code is one of the most powerful tools for modern software development.
This course takes you from the fundamentals of Claude Code to advanced AI-powered development workflows by building a complete real-world application from scratch. Instead of learning isolated features, you'll see how professional developers use Claude Code throughout the entire software development lifecycle.
Whether you're new to Claude Code or already using it, you'll learn practical techniques that help you build faster, write better code, automate repetitive tasks, and develop production-ready software with confidence.
Throughout the course, you'll build a complete expense-sharing application, while learning how Claude Code can plan, write, review, debug, and improve your code.
What you'll learn
Master Claude Code from beginner to advanced
Build a real-world production-ready application
Write effective prompts for software development
Use Plan Mode to design solutions before implementation
Manage conversations, sessions, context, and token usage
Work with Claude models including Haiku, Sonnet, Opus, and Fable
Configure CLAUDE md for persistent project memory
Use Bash, tools, permissions, and context effectively
Automate development using Hooks and custom workflows
Connect Claude to external systems using Model Context Protocol (MCP)
Create reusable Skills and Custom Slash Commands
Install and use Plugins to extend Claude Code
Build AI-powered workflows with Subagents and Agent Teams
Apply Spec-Driven Development to plan, build, verify, and improve features
Integrate Claude Code with VS Code Extension, GitHub CLI, Claude Desktop, and Claude Web
Debug, review, refactor, and ship production-ready software faster
The course is divided into 4 Phases,
Phase 1: Getting Started with Claude Code
Before building applications with Claude Code, you need to understand how it works and how to communicate with it effectively.
In this phase, you'll learn:
What Claude Code is and how it differs from ChatGPT and GitHub Copilot
Installation and project setup
Building your first application using prompts
Plan Mode and AI-assisted planning
Slash commands and daily developer workflows
Sessions, conversations, and project organisation
Choosing the right Claude model (Haiku, Sonnet, Opus, Fable)
Token usage, costs, and context management
Recovering from mistakes using checkpoints and Git
By the end of this phase, you'll understand how Claude Code thinks and how to use it effectively in real development.
Phase 2: Professional Claude Code Workflows
Once you're comfortable with the basics, you'll learn how professional developers use Claude Code every day.
In this phase, you'll learn:
CLAUDE md for persistent project memory
Context management and @file references
Bash integration and terminal automation
Tools, permissions, and approval workflows
Context windows and token optimisation
Hooks for automated formatting and safety checks
Efficient prompting techniques for large codebases
This phase transforms Claude Code from a chatbot into a reliable development partner.
Phase 3: AI Agents & Advanced Automation
This is where the course goes beyond typical Claude Code tutorials.
You'll learn how to build intelligent development workflows using:
Model Context Protocol (MCP)
Skills and reusable AI expertise
Custom Slash Commands
Plugins
AI Agents
Parallel and Sequential Subagents
Multi-Agent Teams
Agent orchestration for complex software projects
By the end of this phase, you'll know how to automate complex engineering tasks that would normally require multiple developers.
Phase 4: Production-Ready AI Development
The final phase focuses on building software the way modern engineering teams do.
You'll learn:
Spec-Driven Development
Feature planning, implementation, verification, and refinement
VS Code Extension
GitHub CLI workflows
Claude Code Desktop
Claude Code Web
End-to-end feature development using AI
Production-ready developer workflows and best practices
This phase brings everything together so you can confidently build, review, and ship software using Claude Code in real-world projects.
By the end of this course, you'll understand not only how to use Claude Code, but how to build an entire AI-driven development workflow that improves productivity, code quality, and collaboration.
If you're ready to master Claude Code and become a more productive software developer, I'll see you inside the course.