The Fastest Path to Agentic AI Development Most developers pick up Claude Code, type a few prompts, and wonder why it barely beats a Google search. They treat it like a chatbot. The developers who 10× their output treat...
What you'll learn
Welcome & Course Overview
Context Engineering — Theory
The GIST of Claude Code
Getting Started — A Tour of Essential Commands
MCP — Model Context Protocol
Automating Your Workflow with Claude Code and GitHub
Most developers pick up Claude Code, type a few prompts, and wonder why it barely beats a Google search. They treat it like a chatbot. The developers who 10× their output treat it like a fully autonomous engineering partner — because that is exactly what it is.
This crash course is your complete, one-day immersion into agentic coding with Claude Code. By the end, you will not just know how to use Claude Code — you will know how to orchestrate it, extend it, and make it work autonomously while you focus on higher-order thinking.
What You Will Master
Context Engineering — The single most important skill in AI-assisted development. You will learn how to write CLAUDE.md files, craft system prompts, and architect context windows so Claude always has precisely the right information to make correct decisions.
MCP Servers — The Model Context Protocol transforms Claude Code from a capable assistant into a fully connected development partner. You will connect it to databases, GitHub, documentation engines, and custom tools — live, hands-on.
Subagents & Multi-Agent Orchestration — The future of software development is a team of specialized AI agents. You will learn how to spawn, control, and coordinate subagents that run in parallel, solving complex problems simultaneously.
Agent Skills & Custom Automation — Build reusable, composable AI workflows that automate the most repetitive parts of your development process — forever.
Claude Code Desktop & Deep Agents — Discover background agents, local vs. cloud modes, parallel worktrees, and the deep architecture of how Claude Code reasons about your codebase.
Agentic Coding Security — Understand the attack surface of AI-driven development and how to build guardrails that keep your agentic systems safe in production.
Course Structure
This course mirrors a real Udemy bestseller by a top-rated instructor, rebuilt from the ground up with original content, hands-on exercises, and real-world project work:
15 modules covering every major Claude Code capability
76 lessons progressing from installation to advanced multi-agent orchestration
Hands-on projects including a spec-driven app build, GitHub automation, and infinite subagent implementations
Theory + practice alternating so concepts are immediately applied
Who This Course Is For
Developers at any skill level who want to ship faster and smarter with AI
Engineering leads evaluating agentic coding tools for their teams
Freelancers who want to take on larger projects by multiplying their output
AI enthusiasts ready to go beyond chatbots and into real agentic systems
Prerequisites
Basic experience writing code in any language
Comfort using a terminal / command line
A computer running macOS, Linux, or Windows (WSL2)
An Anthropic API key or Claude Pro 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.
2[Hands On] Using Claude to Build a Better Claude: Prompting for Subagents
5min
3Invoking and Running Multiple Subagent Instances
3min
4Subagents Context Flow
6min
5A Deeper Dive: Subagent Creation and Prompting
12min
6Manipulating Main Agent Prompts for Subagent Control
4min
7Advanced Prompting: Controlling Subagent Logic
6min
8[Hands On] Infinite Subagents Setup
10min
9[Hands On] Infinite Subagents Implementation
9min
10[Hands On] Infinite Subagent Meta Prompting
9min
1Create a Custom Output Style with Claude Code
10min
2Creating an Advanced Project-Level Output Style
9min
3Customizing the Status Line in Claude Code
5min
4Advanced Status Line: Displaying the Last User Prompt
8min
5The Future of AI Coding: A Team of Specialized Agents
8min
1Introduction to Agent Skills
2min
2The GIST of Skills: Core Structure and Anatomy
14min
3Custom Skills with Auxiliary Scripts
18min
4Skills Tradeoffs: When to Use and When Not to Use
1min
5Skills vs MCP: Choosing the Right Integration Pattern
4min
6Skills vs Subagents: Orchestrating Complex Workflows
2min
1Introduction to Claude Code Desktop & Background Agents
1min
2Claude Code: Local vs Cloud Modes
3min
3[DEMO] Orchestrating Parallel Local & Cloud Agents
8min
4Git Worktrees: Parallel Development Made Safe
3min
5Merging Parallel Work Streams
14min
6Claude Code on Mobile
5min
1Introduction to Deep Agents
1min
2Agent Taxonomy: Deep Agents vs Shallow Agents
11min
3Claude Code TODO: Internal Task Orchestration
3min
4Deep Agents: Subagents and Hierarchical Delegation
6min
5Deep Agents: Subagents Context Flow
6min
6File Systems and Agent State
7min
1Security Fundamentals for Agentic AI Systems
28min
1Production-Ready Agentic Coding: The Complete Checklist
8min
2Scaling Your AI-Assisted Development Practice
8min
1What's Next: Your Agentic AI Development Journey
1min
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