Core Coursework

Take these in order

Prerequisite: The Beginner Learning Path and Node.js Learning Path

Start your journey into AI-assisted engineering with prompting techniques to help you generate high quality results from LLMs.

Practical Prompt Engineering

Sabrina Goldfarb

GitHub

It’s never been easier to experiment and iterate on frontend experiences. Learn Codex and gain practical, real-world workflows to better direct AI in your next application.

Agentic Frontend Development with Codex

Katia Gil Guzman

OpenAI

Learn the fundamentals of Claude Code, from the agentic loop and model trade-offs to skills, hooks, subagents, and full agent teams that collaborate on complex work.

Claude Code

Lydia Hallie

Anthropic

Create a CLI agent with custom tool calling, evals, context window management, and a human-in-the-loop approval flow.

Discover how AI-assisted tools like Cursor and Claude code can boost your productivity. Whether you’re doing quick component refactors, generating a project plan, or running end-to-end tests in the background, leveraging these tools can help you get your job done faster.

Cursor & Claude Code: Professional AI Setup

Steve Kinney

Temporal

Dive into the discipline of AI Engineering by building a real agentic application from first principles. Gain the fundamental skills to build, measure, and improve AI-powered systems.

AI Engineering Fundamentals

Scott Moss

Netflix

The Model Context Protocol (MCP) standardizes how applications provide communicate with large language models (LLMs). Building an MCP server from scratch is a great way to understand the fundamentals, discover ways to integrate AI in common workflows, and future-proof your career.