Learning Tracks
Your roadmap to real skills.
Many tracks and dozens of sub-tracks. Every track starts with a free intro lesson.
Learning Tracks
Many tracks and dozens of sub-tracks. Every track starts with a free intro lesson.
Build faster and smarter with AI coding tools.
~10 hours · 11 lessons
View track details →AI in Web Development: The New Workflow
Understand how AI is transforming web development and what tools are available.
Claude Code: AI-Powered Development from the Terminal
Use Claude Code to build and iterate on projects efficiently from the terminal.
GitHub Copilot: AI Pair Programming
Use Copilot for inline code suggestions and Copilot Chat for codebase questions.
Browser-Based IDEs and AI Coding Agents
Use browser-based AI tools for rapid prototyping and understand their limitations.
AI for Design and UI: Cursor, Lovable, and v0
Use AI tools for frontend design and generate UI components from natural language prompts.
AI-Assisted Debugging, Testing, and Deployment
Use AI to explain errors, generate unit tests, review code, and write deployment configs.
Building AI-Powered Features into Web Apps
Add AI functionality to your own web app by calling the Anthropic or OpenAI API.
Prompt Engineering for Developers
Write prompts that produce useful code on the first try, verify AI output before trusting it, and recognize when to throw the suggestion away.
AI-Assisted Code Review
Use Claude to review your own diff for bugs and security issues before pushing — and know which findings to act on, which to discuss, and which to ignore.
What AI Cannot Replace
Name the categories AI cannot do for you in 2025 (system design, complex debugging, understanding what the code does) and recognize when to put the AI down.
AI-Assisted Development Job Readiness
Translate your AI workflow into resume bullets, interview answers, and portfolio signals that land jobs in 2025 when AI fluency is table stakes.