Learning track

Claude AI & Claude Code: Complete Engineering Series

Master Claude AI and Claude Code through a comprehensive, hands-on engineering series. Explore Claude models, Claude Projects, prompt engineering, Claude Code CLI, context management, CLAUDE.md, skills, hooks, MCP integrations, AI agents, and the Anthropic API. Learn how to design, develop, test, and deploy real-world AI applications using practical Python examples, architecture diagrams, command cheat sheets, and production engineering best practices.

Start the track

A structured path from foundations to production

Follow the lessons in order. The curriculum is managed in Payload and can grow without changing the public route structure.

Claude AI Fundamentals
Build a strong foundation in Claude AI by exploring the Anthropic ecosystem, Claude model families, capabilities, interfaces, context windows, token management, and prompt engineering. Understand how Claude works, where it fits into modern AI applications, and how to use its capabilities effectively through practical examples and real-world use cases.
1. Lesson 1
  Introduction to Claude AI: Models, Capabilities, and Ecosystem
  Explore Claude AI and the Anthropic ecosystem, including its model families, core capabilities, interfaces, and practical applications. Understand where Claude fits into modern AI engineering and how to choose the right starting point for building with Claude.