AI Agents Are the Next Leap in Software. Learn to Build Them in TypeScript.
AI agents aren't passive tools. They think, act, and solve problems—without waiting for instructions.
Frameworks come and go. Principles last. This specialization cuts through the noise to teach you how AI agents really work—using TypeScript and JavaScript, with the AI-powered tools and techniques that make you 1000x more productive.
Start with AI Agents in TypeScript/JavaScript to master agent architecture from the ground up. No fluff. No shortcuts. Just the core GAME components (Goals, Actions, Memory, Environment) that power intelligent systems—knowledge that stays useful no matter how fast the landscape shifts. You'll learn to build agents that think, act, and solve problems autonomously.
Then accelerate with Building with Claude Code to use AI agents to build AI agents. Claude becomes your pair programmer, writing boilerplate code, creating API integrations, and building tool implementations at lightning speed. What used to take hours now takes minutes. You'll learn to leverage AI assistance to rapidly prototype agent capabilities, generate TypeScript implementations, and build the integrations your agents need to connect with real-world systems.
Finally, master Prompt Engineering to take your agent design to the next level. Learn to craft precise instructions that make your agents more capable, design complex reasoning chains, and prototype agent behaviors before writing code.
Applied Learning Project
Learners will build a complete AI agent from scratch in TypeScript that autonomously solves real-world problems—such as a developer productivity assistant that analyzes codebases, generates tests, and creates documentation, or a data processing agent that integrates with APIs and automates complex workflows. Using Claude Code to accelerate development and prompt engineering to design agent intelligence, you'll create production-ready agents that demonstrate the full cycle from architectural design to deployed solution.
