Claude Code AI Coding, Agents & AutomationPublished 5/2026
Created by Sandeep Soni
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels |
Genre: eLearning |
Language: English |
Duration: 29 Lectures ( 9h 43m ) |
Size: 5.3 GB
⚡ Understand the fundamentals of Claude Code and AI-powered development workflows
⚡ Install and configure Claude Code professionally for real-world development environments
⚡ Work with Claude Code CLI and essential commands effectively
⚡ Understand different modes in Claude Code and how to use them efficiently
⚡ Scaffold and build projects using Claude Code automation capabilities
⚡ Create and manage structured workflows using Claude .md instruction files
⚡ Build intelligent AI-assisted development systems using Claude Agents
⚡ Understand different Agent types and planning workflows
⚡ Integrate Claude Code with Git for structured feature development
⚡ Add new features to projects using practical AI-assisted engineering workflows
⚡ Create and use custom Sub Agents for specialized development tasks
⚡ Run parallel workflows using Git Worktrees and parallel agents
⚡ Understand Skills and integrate them into AI development workflows
⚡ Build custom Skills using OpenAI APIs
⚡ Learn the fundamentals of Model Context Protocol (MCP)
⚡ Integrate and use GitHub MCP Server with Claude Code
Requirements❗ Basic understanding of programming concepts
❗ Familiarity with command line or terminal basics is helpful
❗ Basic knowledge of Git is recommended but not mandatory
❗ A computer with internet connection (Windows, macOS, or Linux)
❗ Interest in AI-powered development and automation workflows
❗ No prior experience with Claude Code is required
❗ Basic development experience will help you follow practical demonstrations more effectively
DescriptionMaster Claude Code and learn how modern developers are building AI-powered engineering workflows using Agents, MCP, Hooks, Plugins, Skills, Git integration, and automation systems.
This course is designed for developers, engineers, and technical professionals who want to move beyond basic AI prompting and learn how to build structured, scalable, and production-ready AI coding workflows.
You will start by learning Claude Code fundamentals, installation, setup, CLI usage, commands, and development workflows. From there, you will progressively move into advanced concepts including Claude .md instruction files, AI Agents, Sub Agents, Planning workflows, Git integration, Git Worktrees, parallel agent systems, and custom automation architectures.
The course also covers powerful modern AI engineering concepts such as
✨ Skills and custom Skills
✨ OpenAI API integration
✨ Model Context Protocol (MCP)
✨ GitHub MCP Server integration
✨ Hooks and automation workflows
✨ Context-aware Hook systems
✨ Plugins and Plugin Marketplace
Unlike many beginner AI coding courses, this course focuses on practical implementation, real development workflows, and hands-on demonstrations that can be directly applied in professional software engineering environments.
By the end of this course, you will be able to design intelligent AI-assisted development systems, automate engineering workflows, manage AI agents effectively, and build scalable coding environments using Claude Code.
Whether you are a developer, DevOps engineer, AI enthusiast, technical founder, or software professional, this course will help you gain future-ready AI engineering skills that are becoming increasingly important in modern software development.
Who this course is for⭐ Developers who want to learn AI-assisted coding workflows
⭐ Software engineers looking to improve productivity using AI tools
⭐ Developers using Cursor, GitHub Copilot, Windsurf, or similar AI coding assistants
⭐ Full-stack developers interested in AI engineering workflows
⭐ DevOps engineers and automation engineers
⭐ Technical professionals interested in MCP, Hooks, Plugins, and AI automation
⭐ Developers who want to integrate AI into real-world software development workflows
⭐ AI enthusiasts who want hands-on experience with Claude Code
⭐ Students who want practical implementation-focused AI engineering skills
⭐ Professionals looking to stay updated with modern AI development tools and workflows
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