
Discover how to start with cloud code, install and configure it, choose modes and pricing, and leverage it as a junior developer for AI‑driven coding.
Set up cloud code on macOS and Windows with native installers, curl, or PowerShell, then manage plans, usage, and API keys while using CloudCode with CloudChat, CoWork, and GitHub Copilot.
Learn to control Claude Code in the cloud with flags, resume, and session management. Switch models—opus 4.7, sonnet, and haiku—in interactive mode, using the current folder as context.
Create a scaffolded todo app by drafting a PRD with Claude chat, then generate a React frontend and Python FastAPI backend to manage to-dos.
Learn to build and use Claude.md instruction files to guide AI coding, agents, and automation workflows.
Explore how AI agents pair models with tools to generate code. Plan, act, observe, and reflect with planning, exploration, and general purpose agents.
Follow a step-by-step process to add a new feature to a project, part 2, detailing practical integration steps and hands-on guidance for efficient feature development.
discover how to create and configure sub agents in Claude code, including generate or manual setup options, project scope choices, tools, and a code reviewer use case.
Learn to run parallel agents with git worktrees to manage backend and frontend authentication tasks on separate branches simultaneously, commit changes, merge to main, and clean up worktrees after completion.
Develop essential skills for AI coding, agents, and automation within Claude Code for practical, career-ready applications.
Explore building a Claude-based skill to auto generate commit messages, stage changes, and automate git workflows from diff to pull request.
Create a custom cloud skill to integrate the OpenAI API, generating an md file with samples, documentation, and dependencies, plus environment variable key setup for seamless integration.
Discover how the modal context protocol (MCP) unifies AI models with data sources and tools through a single interface, enabling secure, model-agnostic access across databases, files, APIs, and code repositories.
Discover how hooks guarantee deterministic actions triggered by events in Claude. Learn to configure pre and post tool hooks, guardrails, logging, and notifications.
Build your first notification hook for Claude, editing settings.json or settings.local to configure hooks, and run a PowerShell command to show a message when attention is needed.
Explore how hooks use standard input, output, and error to exchange json data (session id, directory, hook event) and how exit codes control pretool use, including blocking drop table commands.
Learn how to manage input output and context in Claude by adding per-prompt context, using githcontext.sh, and wiring prompts to hooks for contextual logging.
Explore how plugins bundle skills, agents, hooks, and MCP servers into a versioned, installable package that enables reusable, shareable cloud extensions across projects and teams via a marketplace.
Create and test ai plugins by composing a plugin directory with a manifest plugin.json, skills, hooks, and documentation; load and reload plugins to run hello skills.
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.