Claude Code MasterClass Advanced AI-Assisted Development

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
Configure and Integrate Model Context Protocol (MCP) Servers: Students will gain hands-on experience setting up essential MCP servers
Establish Enterprise-Ready AI Development Workflows: Students will design complete development workflows
Requirements
Modern development environment (Windows, macOS, or Linux), Claude Code installation, API access GitHub account for MCP server integration and Terminal/command-line access
Description
We are working on the course contents add other topics like GitHub actions, Github CICD.Course OverviewThis comprehensive course explores the cutting-edge intersection of artificial intelligence and software development through Claude Code's revolutionary subagent architecture. Students will learn to harness specialized AI assistants that work together as a coordinated development team, fundamentally transforming how modern software is designed, built, and maintained.Learning ObjectivesBy the end of this course, students will be able to:Understand Claude Code Architecture: Explain how Claude Code functions as both an MCP server and client, and its role in AI-assisted developmentImplement 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 benefitsMaster Context Preservation: Apply advanced context management techniques to maintain project coherence across development sessionsConfigure 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 3 MCP serversMemory Systems: Create and maintain hierarchical memory structures that enhance AI assistance qualityApply Best Practices: Implement enterprise-ready workflows using AI subagents while maintaining security and compliance standards
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
Homepage

https://www.udemy.com/course/claude-code-masterclass-generative-ai-assisted-development/

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