What you'll learn:
- Design and Deploy Specialized AI Subagent Systems: Students will master the creation and configuration of specialized AI subagents
- Master Claude Code's Memory Architecture: Students will understand how to create, organize, and maintain hierarchical memory files
- Establish Enterprise-Ready AI Development Workflows: Students will design complete development workflows
- Establish Enterprise-Ready AI Development Workflows: Students will design complete development workflows
“This course contains the use of artificial intelligence to give better experience on a better voice quality”
Course Overview
Master Claude Code, AI Subagents, MCP Servers, Slash Commands, Hooks, and GitHub Actions to build next-generation AI-augmented developer workflows. This course is your complete guide to the future of software engineering—where AI works alongside developers through automated pipelines, intelligent context handling, and well-orchestrated subagent systems.
This hands-on program teaches you how Claude Code transforms development productivity by acting as an AI teammate capable of executing workflows, running MCP servers, generating code, reviewing API designs, maintaining memory, and performing GitHub-integrated automations.
Whether you’re a software engineer, DevOps professional, QA engineer, or an AI enthusiast, this course equips you with the skills to build enterprise-grade AI workflows using Claude Code’s cutting-edge capabilities.
Learning Objectives
By the end of this course, students will be able to:
Understand Claude Code: Explain how Claude Code functions as both an MCP server and client, and its role in AI-assisted development
Implement Subagent Systems: Design and deploy specialized AI subagents for different aspects of the development lifecycle. We will go over understanding how Subagents work and what are their benefits
Slash Commands: Developers trigger powerful coding, debugging, and automation actions directly from chat. They streamline workflows by invoking predefined tools, hooks, and GitHub Action integrations with a simple command.
Workflow: An automated, multi-step process that Claude can run on your codebase—such as generating code, refactoring, testing, or syncing changes—based on defined steps in your project configuration. It acts like a programmable pipeline that Claude executes deterministically, ensuring repeatable and reliable automation triggered by slash commands or file changes.
Configure MCP Servers: We will take a deep dive on MCP server. Set up and integrate Model Context Protocol servers to extend Claude Code's capabilities. We will integrate with the MCPservers
Memory Systems: Create and maintain hierarchical memory structures that enhance AI assistance quality
Apply Best Practices: Implement enterprise-ready workflows using AI subagents while maintaining security and compliance standards
SECTION 1 — Introduction
You’ll start with a high-level view of large language models and how Claude Code builds on them to act as both an MCP client and server. Learn installation, extension setup, and create your first “Hello World” application inside the IDE.
SECTION 2 & 3 — Slash Commands
Understand Slash Command structure, frontmatter definitions, and backend logic.
Learn how to create custom commands powered by Bash scripts to automate:
Code refactoring
Git commits & version control
MCP integration
Multi-step workflows
Hands-on labs reinforce practical usage.
SECTION 4 — Subagents: General Purpose
Dive deep into the Subagent
You’ll build intelligent multi-agent systems that perform tasks like:
Travel planning
Trip scheduling
Restaurant recommendations
Parallel & sequential orchestration
These modules teach AI planning and agent chaining.
SECTION 5 — Subagents for Developers
Use Subagents to accelerate real engineering workflows:
API review assistants, documentation reviewers, code auditors, and more.
Perfect for teams adopting AI pair-programming at scale.
SECTION 6 — Workflows with Subagents + Slash Commands
Build hybrid pipelines combining Slash Commands and Subagents.
Create deterministic workflows that Claude executes reliably for:
Code changes
Commit flows
Automated testing
Structured build steps
SECTION 7 & 8 — Claude Code Memory (Theory + Hands-On)
Master Claude’s hierarchical memory system, including:
Context preservation
User memory
Project root memory
Subdirectory memory
Memory priority
Memory access commands
This section teaches persistent multi-file context handling—critical for large projects.
SECTION 9 — All About MCP
A full deep dive into Model Context Protocol, covering:
MCP
Server components
Transports
End-to-end data flow
You will clearly understand how tools communicate with Claude.
SECTION 10 — Claude Code with MCP Servers
Integrate powerful servers:
Puppeteer MCP
Sequential Thinking MCP
GitHub MCP (with and without authentication)
Learn how MCP extends Claude Code into a full automation platform.
SECTION 11 — Hooks
Type Script formatting
Activity logging
Execution safeguards
Multi-step sequences
Debugging failing Hooks
SECTION 12 — Claude Code with GitHub Actions
Pull Request creation
Bug fixing
Code review workflows
Repo updates
Continuous automation pipelines
