Claude Code – The Practical Guide to Agentic Engineering
Beginner
Artificial Intelligence
25 hours
Claude Code – The Practical Guide to Agentic Engineering
Build Software 10x Faster by Mastering Every Claude Code Feature: Commands, MCP Servers, Hooks, Subagents, and Production Workflows
10 Chapters
40 Lessons
681 min total
Free
Why This Course Exists The way software is built has fundamentally changed. Claude Code — Anthropic's agentic AI coding assistant — lives in your terminal and understands your entire codebase. It does not just autocomple...
The way software is built has fundamentally changed. Claude Code — Anthropic's agentic AI coding assistant — lives in your terminal and understands your entire codebase. It does not just autocomplete lines of code. It reads files, runs commands, creates branches, writes tests, and ships features — all through natural language.
But most developers barely scratch the surface. They use Claude Code like a fancy search engine instead of the autonomous engineering partner it was designed to be.
This course changes that. You will go from zero to mastery, learning every feature of Claude Code through hands-on, practical projects that mirror real-world development workflows.
What You Will Build
Throughout this course, you will build a complete full-stack task management application from scratch — entirely with Claude Code. Along the way, you will:
Scaffold the project using natural language commands
Configure CLAUDE.md for optimal AI-assisted development
Connect MCP servers for database access and GitHub integration
Automate repetitive tasks with hooks and custom skills
Delegate work to subagents running in parallel
Deploy to production with CI/CD pipelines powered by Claude Code
What You Will Learn
Foundation: Install, configure, and master Claude Code's CLI interface
Context Engineering: Write CLAUDE.md files that make Claude 10x more effective
MCP Servers: Connect Claude to databases, APIs, and external tools
Hooks and Skills: Build deterministic automations and reusable AI workflows
Agentic Patterns: Use subagents, Plan Mode, and Ralph Wiggum loops for autonomous development
Git Mastery: Automate branches, commits, PRs, and code reviews
Production Workflows: Integrate Claude Code into CI/CD, headless mode, and enterprise environments
Real Projects: Apply everything in a hands-on full-stack build
Who This Course Is For
Developers who want to build software dramatically faster with AI
Engineering leads evaluating Claude Code for their teams
AI enthusiasts who want to understand agentic engineering
Freelancers looking to multiply their output and take on bigger projects
Prerequisites
Basic programming experience in any language (JavaScript, Python, or similar)
Familiarity with the command line (terminal basics)
A computer with macOS, Linux, or Windows (WSL2)
An Anthropic API key or Claude Pro/Team subscription
Who this course is for
Beginners starting out in Artificial Intelligence
Career switchers moving into tech
Self-taught learners who want a structured path
No prior experience required — you'll start from the fundamentals and build up.
4Choosing AI Models and Configuring Your Environment
14min
1Slash Commands: The Complete Reference
16min
2Session Management: Context, Compaction, and Continuity
14min
3Keyboard Shortcuts and Power-User Productivity
12min
4File Operations: Reading, Editing, and Searching Code
18min
1Writing the Perfect CLAUDE.md
20min
2Context Window Mastery: Tokens, Costs, and Optimization
16min
3Memory Files and Persistent Knowledge
14min
4Multi-File Context Strategies for Large Codebases
18min
1Claude Code in VS Code: Complete Setup
16min
2JetBrains Integration: IntelliJ, PyCharm, and WebStorm
14min
3Terminal Multiplexing: Parallel Sessions with tmux
12min
4Remote Development and Browser-Based Workflows
14min
1Understanding the Model Context Protocol
16min
2Setting Up Essential MCP Servers
20min
3Building a Custom MCP Server
22min
4MCP Best Practices: Security, Performance, and Scale
16min
1The Hooks System: Event-Driven Automation
18min
2Building Production Hooks: Format, Guard, and Log
20min
3Creating Custom Skills: Reusable AI Workflows
18min
4Custom Slash Commands and Plugin Architecture
14min
1Plan Mode: Think Before You Build
16min
2Subagents and Task Delegation
20min
3The Ralph Wiggum Technique: Autonomous Builds
18min
4Agent Teams: Multi-Session Coordination
20min
1Git Workflows with Claude Code
18min
2Git Worktrees: Isolated Parallel Development
16min
3AI-Powered Code Review Workflows
18min
4Managing Merge Conflicts and Complex Git History
14min
1Project Setup: Scaffolding with Claude Code
22min
2Backend Development: APIs, Auth, and Database
24min
3Frontend Development: UI, State, and Responsiveness
22min
4Testing and Debugging with Claude Code
20min
1Headless Mode and CI/CD with GitHub Actions
20min
2Security, Permissions, and Enterprise Sandboxing
18min
3Cost Optimization and Performance at Scale
16min
4Becoming a 10x Agentic Engineer
14min
Your Instructor
Engr. Mejba Ahmed
AI Developer · Software Engineer · Entrepreneur
I build production AI systems and full-stack applications for a living, and I teach the exact workflows I use in real projects — not theory. Over 8+ years I've shipped 1,500+ projects, founded Ramlit Limited, and now build agentic AI tooling with Claude, GPT and open models. AI School is where I share that hands-on playbook so you can build and ship real work.
8+ years in production
1,500+ projects shipped
Founder, Ramlit Limited