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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...

What you'll learn

  • Getting Started with Claude Code
  • Essential Commands and Daily Workflows
  • CLAUDE.md and Context Engineering
  • IDE Integration and Developer Experience
  • MCP Servers — Connecting Claude to Everything
  • Hooks, Skills, and Custom Automation

+ 4 more chapters below

Engr Mejba Ahmed

Engr. Mejba Ahmed

Course Instructor

100% Free

40 lessons · certificate · no card

Claude Code – The Practical Guide to Agentic Engineering

About This Course

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 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.

Course Curriculum

10 chapters 40 lessons 681 min

3 lessons available to preview

1 Slash Commands: The Complete Reference
16min
2 Session Management: Context, Compaction, and Continuity
14min
3 Keyboard Shortcuts and Power-User Productivity
12min
4 File Operations: Reading, Editing, and Searching Code
18min
1 Writing the Perfect CLAUDE.md
20min
2 Context Window Mastery: Tokens, Costs, and Optimization
16min
3 Memory Files and Persistent Knowledge
14min
4 Multi-File Context Strategies for Large Codebases
18min
1 Claude Code in VS Code: Complete Setup
16min
2 JetBrains Integration: IntelliJ, PyCharm, and WebStorm
14min
3 Terminal Multiplexing: Parallel Sessions with tmux
12min
4 Remote Development and Browser-Based Workflows
14min
1 Understanding the Model Context Protocol
16min
2 Setting Up Essential MCP Servers
20min
3 Building a Custom MCP Server
22min
4 MCP Best Practices: Security, Performance, and Scale
16min
1 The Hooks System: Event-Driven Automation
18min
2 Building Production Hooks: Format, Guard, and Log
20min
3 Creating Custom Skills: Reusable AI Workflows
18min
4 Custom Slash Commands and Plugin Architecture
14min
1 Plan Mode: Think Before You Build
16min
2 Subagents and Task Delegation
20min
3 The Ralph Wiggum Technique: Autonomous Builds
18min
4 Agent Teams: Multi-Session Coordination
20min
1 Git Workflows with Claude Code
18min
2 Git Worktrees: Isolated Parallel Development
16min
3 AI-Powered Code Review Workflows
18min
4 Managing Merge Conflicts and Complex Git History
14min
1 Project Setup: Scaffolding with Claude Code
22min
2 Backend Development: APIs, Auth, and Database
24min
3 Frontend Development: UI, State, and Responsiveness
22min
4 Testing and Debugging with Claude Code
20min
1 Headless Mode and CI/CD with GitHub Actions
20min
2 Security, Permissions, and Enterprise Sandboxing
18min
3 Cost Optimization and Performance at Scale
16min
4 Becoming a 10x Agentic Engineer
14min

Your Instructor

Engr Mejba Ahmed — AI School 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

FAQ

Frequently asked questions

Yes. AI School is Open Access — enter your email once to unlock all 40 lessons instantly. No credit card and no trial.

No prior experience required — you'll start from the fundamentals and build up.

Yes. Complete every lesson to earn a verifiable certificate of completion you can add to your LinkedIn profile and CV.

Forever. Learn at your own pace on any device — your progress is saved automatically as you go.

Engr. Mejba Ahmed — an AI developer and software engineer with 8+ years of hands-on production experience.

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