Claude Code Mastery: Subagents, MCP, Hooks & AI Workflows

Build Generative AI-augmented using Claude Code, MCP servers, Subagents, Slash Commands, Hooks & GitHub Actions

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Description

“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 MCP servers

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

Who this course is for:

• Software developers seeking to enhance productivity with AI assistance, Engineering managers exploring AI integration in development workflows DevOps engineers interested in AI-powered automation, Computer science students focusing on AI applications in software engineering