本课程系统讲解Claude Code与AI智能体开发，涵盖架构设计、核心配置、安全控制及MCP集成。通过实战项目，助你快速构建生产级自动化工作流，提升开发效率。
原始标题：Claude Architect Foundations: AI Agents & Claude Code
本课程是一门总长6小时39分钟的 Claude Code 与 AI 智能体（AI Agents）开发进阶实战视频教程，专为零基础至进阶学习者设计。课程围绕 Anthropic 的 Claude Code 工具展开，核心内容涵盖 AI 智能体架构设计（如协调器与多智能体系统）、核心功能配置（斜杠命令、项目规则与挂钩）、自主性安全控制（计划模式与工具白名单）以及 高级生态整合（自定义工具与 MCP 模型上下文协议服务器开发）。通过理论与实战项目的结合，旨在帮助学员摆脱单一的提示词交互，掌握在 Windows/Mac/Linux 环境下构建、管理并部署具备上下文记忆、任务委派和自动化解决问题能力的生产级 AI 自动化工作流。
Published 8/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 6h 39m | Size: 5.92 GB
Master Claude Code, AI Agents, MCP, Tools, Hooks, Skills, and Real-World Agentic Workflows
What you’ll learn
Build AI agents using Claude Code from beginner to advanced level
Understand agent architecture including orchestrators, subagents, and multi-agent workflows
Configure Claude Code using slash commands, skills, and project rules
Control agent autonomy with plan mode, permissions, and tool allowlisting
Build practical AI automation projects using real-world examples and best practices
Design production-ready AI workflows with context management and task delegation
Requirements
Basic computer knowledge
A Windows, macOS, or Linux computer
No prior AI or Claude Code experience required—we start from the basics
A willingness to learn by building practical projects
Internet connection for installing required tools
Description
Claude Code Mastery: Build AI Agents from Beginner to Advanced
Artificial Intelligence is rapidly transforming software development, and Claude Code is one of the most powerful AI coding assistants available today. This course is designed to help you move beyond simple prompting and learn how to build intelligent AI agents capable of solving real-world problems.
Whether you’re a developer, automation engineer, student, or AI enthusiast, this course takes you step by step from the fundamentals of Claude Code to advanced agent architectures and production-ready workflows.
In this course, you’ll learn how to
– Build AI agents using Claude Code
– Understand orchestrators, subagents, and multi-agent systems
– Design scalable agent architectures
– Create custom tools and integrate MCP servers
– Configure projects with Claude configuration and hierarchical instructions
– Use slash commands, skills, hooks, and project rules
– Control agent autonomy using Plan Mode and permissions
– Manage agent memory, context, and task delegation
– Apply prompt engineering best practices
– Build practical AI automation projects
Why take this course?
This course is highly practical. Instead of focusing only on theory, you’ll build real examples that demonstrate how Claude Code works in professional development workflows. Every concept is explained step by step, making it suitable for beginners while also covering advanced topics for experienced developers.
Who should enroll?
– Software Developers
– Python Developers
– AI Engineers
– Automation Engineers
– Students interested in AI Agents
– Anyone wanting to master Claude Code
By the end of this course, you’ll have the confidence to design, build, and deploy intelligent AI agent systems using Claude Code and modern AI development practices.
Who this course is for
Software developers who want to build AI agents
Python developers interested in AI automation
Students who want to learn Claude Code from scratch
Engineers exploring MCP, AI tools, and agentic workflows
Professionals looking to automate coding and development tasks with AI
Anyone interested in modern AI agent development
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