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Claude Code: AI Agents, MCP, Hooks & Plugins [2026]
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Rating: 4.6 out of 5(33 ratings)
229 students

Claude Code: AI Agents, MCP, Hooks & Plugins [2026]

Master the complete Claude Code ecosystem — Agents, Sub Agents, MCP, Hooks, Plugins, Git & OpenAI integration
Created bySandeep Soni
Last updated 6/2026
English

What you'll learn

  • Install, configure, and customise Claude Code professionally across macOS, Windows, and Linux for real-world development environments
  • Build structured CLAUDE. md instruction files that keep Claude aligned with your project standards and preferences across every session
  • Design and deploy AI Agents and Sub Agents to execute specialised tasks in parallel across your codebase
  • Run simultaneous agent workflows on the same project using Git Worktrees without session conflicts or interference
  • Integrate Claude Code with Git for structured feature development, autonomous commits, and AI-assisted code reviews
  • Configure and deploy MCP (Model Context Protocol) servers, including the GitHub MCP Server, for deep real-world tool integration
  • Build context-aware Hook systems that automatically enforce coding standards and block unsafe operations before damage occurs
  • Create custom Skills powered by the OpenAI API to extend Claude Code with reusable, modular capabilities beyond Anthropic's ecosystem
  • Build and manage Plugins using the Plugin Marketplace to package and deploy capabilities across projects and teams
  • Execute complex multi-agent planning workflows using Claude's planning modes for large-scale engineering tasks
  • Scaffold and automate project builds using Claude Code's automation capabilities from the ground up
  • Architect production-ready AI-assisted development systems that scale across real codebases and engineering teams

Course content

8 sections29 lectures9h 43m total length
  • Claude Code Introduction25:19
  • Setup Claude Code and Comparison with other Tools26:05
  • Modes in Claude Code6:36
  • Claude Code Commands5:05
  • Claude Code CLI17:25
  • Scoffolding Todo App25:28

Requirements

  • Basic programming knowledge in any language (Python, JavaScript, Java, or similar)
  • Comfort with the command line or terminal (basic navigation is sufficient)
  • Basic Git knowledge is recommended — clone, commit, and branch operations
  • A computer with internet connection (Windows, macOS, or Linux are all supported)
  • A Claude paid account (Pro plan or above) is required — setup and configuration are covered in the course
  • No prior experience with Claude Code is needed — this course builds from the ground up

Description

The way software gets built has fundamentally changed. Claude Code is not a chatbot with a code window — it is an AI engineering platform, and the developers who learn to orchestrate it rather than simply prompt it are building faster, shipping smarter, and working at a level that was not possible two years ago.

This course teaches you how to operate at that level.


Built by Sandeep Soni, a corporate trainer with over 30 years of technology training experience and 20+ Microsoft certifications, this course reflects the teaching approach that has helped more than 500,000 IT professionals across the USA, UK, Australia, and the Middle East build real-world technical skills. Every lesson is designed around practical implementation, architectural understanding, and hands-on demonstrations rather than slide-based theory.


Sandeep's philosophy is decision training, not tool training. You won't simply be shown where to click or which command to execute. You'll understand why a workflow works, when to use it, where it breaks, and how to make intelligent engineering decisions when real-world problems appear. This approach has helped thousands of professionals move beyond tutorials and build confidence in applying technology in production environments.


Designed for developers and engineers who want to move beyond surface-level AI tool usage, this course covers the complete Claude Code ecosystem end-to-end — from CLI fundamentals and CLAUDE. md instruction files to Agents, Sub Agents, Git Worktrees, Hooks, MCP, Plugins, and OpenAI API integration. Every section is built around practical demonstration and hands-on implementation, not theory.


What makes this course different?

Most Claude Code courses stop at setup, basic prompting, and a handful of automation examples. This one covers where the ecosystem is actually heading in 2026 — including two topics almost no other course addresses: plugins and the plugin marketplace and building custom skills powered by the OpenAI API. If you want a course that covers the full Claude Code toolchain as it exists today, this is it.


What you will build and master, section by section:

Claude Code Fundamentals — Install and configure Claude Code professionally across all platforms. Master CLI usage, modes, slash commands, and CLAUDE. md instruction files so Claude understands your project from day one. You will know exactly when to use each mode and how to lock down permissions to keep Claude aligned with your standards.


AI Agents, Sub Agents & Planning Workflows — Move beyond single-agent prompting into structured multi-agent systems. Design and deploy specialized sub-agents for parallel execution, understand planning modes, and build agent architectures capable of handling complex, multi-step engineering tasks simultaneously — at a scale most developers have never attempted.


Git Integration and Git Worktrees — Integrate Claude Code directly into your Git workflow and run multiple parallel agent sessions on the same codebase using Git Worktrees. This is how development teams are scaling AI-assisted engineering across features without conflict or interference.


Skills and Custom Skills with the OpenAI API — Package reusable capabilities into modular Skills that Claude loads on demand. Go further by building your own custom skills powered by the OpenAI API — extending Claude Code beyond Anthropic's ecosystem to integrate any external model or service. This capability alone sets this course apart.


Model Context Protocol (MCP) and GitHub MCP Server — Understand MCP, the protocol that connects Claude Code to the real world. Configure and deploy MCP servers, including deep integration with the GitHub MCP Server, enabling real-time repository access, documentation retrieval, and context-aware tool use across your entire development environment.


Hooks and Context-Aware Automation — Build rule-enforcing automation with Hooks that fire before and after tool use, on session start, and across your development lifecycle. Create context-aware Hook systems that automatically enforce your team's coding standards and block unsafe operations — no manual reminders required.


Plugins and the Plugin Marketplace — Extend, share, and deploy capabilities across projects and teams using Plugins. This section covers the plugin system in full depth — from building and registering plugins to managing them through the plugin marketplace. This is among the most current and comprehensive coverage of this feature available on Udemy.


Your transformation:

By the end of this course, you will not just know how to use Claude Code — you will know how to architect AI-powered engineering systems with it. You will be running parallel Sub Agent workflows, enforcing team standards through Hooks, extending Claude with custom Skills built on the OpenAI API, connecting it to real tools through MCP, and deploying capabilities across teams through Plugins.


These are skills that translate directly into faster shipping, more consistent codebases, and a measurable advantage in any engineering role.


Whether you are a developer, DevOps engineer, full-stack professional, or technical founder, the Claude Code skills you build here will become a foundational part of how you work in 2026 and beyond.


Enroll now and start building AI engineering workflows that actually work in production.

Who this course is for:

  • Software developers and engineers who want to replace manual workflows with intelligent, AI-powered automation using the complete Claude Code toolchain
  • DevOps and automation engineers looking to integrate Claude Code into CI/CD pipelines, development infrastructure, and team-wide workflows
  • Developers already using AI coding tools such as Cursor, GitHub Copilot, or Windsurf who want to go deeper into Claude Code's full capability stack including Plugins, Hooks, and MCP
  • Full-stack developers and technical leads who want to build scalable, production-ready AI engineering systems and roll them out across their teams
  • AI enthusiasts and technical founders who want hands-on, implementation-focused experience building real workflows — not just watching demos
  • Professionals who want to stay current with the 2026 Claude Code feature set and understand how Agents, Sub Agents, Plugins, MCP, and Hooks work together as a system ShareArtifactsClaude code course optimized listingDocument · MD Project contentUdemy Competitor Research & Course Content Update Created by youAdd PDFs, documents, or other text to reference in this project.ContentClaude Code Deep Dive.docxdocxRequirements Basic programming knowledge in any language (Python, Java, JavaScript, etc.) Comfort with the command line / terminal A GitHub account (free is fine) A Claude paid account (we'll show you how to set it up) Description Stop using AI like a chatbot. Start engineering with it. The wapasted