Building Professional AI Agents with Node.js & TypeScript
Course Introduction
Welcome to AI Agent Development for JavaScript Developers
Welcome to the future of software development! If you're a JavaScript or TypeScript developer who's been watching the AI revolution unfold and wondering how to be part of it without switching to Python, this course is for you.
The world of AI engineering has been dominated by Python, but here's the truth: JavaScript developers have a massive advantage when it comes to building production AI applications. You already know the stack that powers the modern web, and with the explosion of tools like the Vercel AI SDK, LangGraph.js, and frameworks like Next.js, you can build sophisticated AI agents using the languages and tools you already love.
This isn't a course about chatbots. This is about building autonomous agents that can reason, use tools, and take action to solve real business problems.
What is an AI Agent?
An AI agent is fundamentally different from a simple chatbot:
A Chatbot:
- Responds to user input with text
- Has no ability to take actions
- Limited to conversation
An AI Agent:
- Reasons about problems and plans solutions
- Uses tools to interact with the real world (APIs, databases, web scraping)
- Takes actions autonomously to complete tasks
- Can work with or without human supervision
Think of it this way: a chatbot is like a helpful assistant who can only talk. An AI agent is like a junior employee who can research information, draft documents, send emails, analyze data, and report back with results.
Why This Course?
You're a JavaScript/TypeScript Developer
Most AI engineering courses assume you want to learn Python. But if you're already building with React, Next.js, or Node.js, why start from scratch? This course meets you where you are.
The Market Opportunity
There are millions of JavaScript developers and only a tiny fraction of Python-focused AI engineers. Companies need developers who can integrate AI into their existing web applications, build internal tools, and ship production-ready agents using familiar tech stacks.
Practical, Production-Ready Skills
By the end of this course, you won't just understand the theory. You'll have built and deployed a real autonomous agent that can:
- Search the web for information
- Analyze financial data
- Draft professional documents
- Request human approval for sensitive actions
- Send emails via API
This is the kind of work companies are hiring for right now.
What You'll Learn
This course is structured around building real, working agents from day one:
Module 1: The AI Engineer Mindset
- Understanding agents vs. chatbots
- Setting up the modern TypeScript AI stack
- Your first agent in a single file
Module 2: Tool Calling
- Giving AI "hands" to interact with the world
- Building type-safe tools with Zod
- Creating a crypto price assistant
Module 3: Orchestration with LangGraph
- Managing complex agent workflows
- Implementing the ReACT pattern (Reason, Act, Observe)
- Human-in-the-loop patterns
Module 4: Memory & RAG
- Short-term and long-term memory
- Vector databases for knowledge retrieval
- Web scraping and research tools
Module 5: Production Frontend
- Streaming AI responses in React
- Generative UI patterns
- Deploying to Vercel
Module 6: Capstone Project
- Build a complete "Business Analyst Agent"
- Autonomous research and document generation
- Real-world deployment
The Tech Stack
You'll be working with cutting-edge, production-ready tools:
Core Stack:
- Next.js 15 (App Router) - The React framework for production
- TypeScript - Type safety throughout
- Vercel AI SDK - The best-in-class AI SDK for JavaScript
AI & Orchestration:
- OpenAI, Anthropic, Gemini - Multiple LLM providers
- LangGraph.js - Stateful agent orchestration
- Zod - Schema validation for AI tools
Data & Deployment:
- Supabase - Postgres + vector database
- Vercel - Serverless deployment
- Firecrawl/Tavily - Web scraping
This isn't a toy stack. This is what professional teams are using to ship AI products today.
Who This Course Is For
Perfect for:
- JavaScript/TypeScript developers who want to build AI applications
- React/Next.js developers looking to add AI capabilities
- Full-stack developers who want to understand agent architecture
- Technical founders building AI-powered products
- Anyone who wants to build production AI without learning Python
Prerequisites:
- Solid understanding of JavaScript/TypeScript
- Familiarity with async/await and promises
- Basic React knowledge (helpful but not required)
- Comfort with the command line and npm
You don't need any AI or machine learning background. We'll teach you everything you need to know about working with LLMs from a practical, engineering perspective.
The Goal: Your Financial Research Agent
By the end of this course, you'll deploy a production agent that can handle requests like:
"Research Tesla's latest earnings report, analyze the key risks, and draft an email summary for my team."
Your agent will:
- Search the web for Tesla's earnings report
- Extract and read the relevant information
- Analyze the content using an LLM
- Draft a professional email
- Ask for your approval (human-in-the-loop)
- Send the email via API
This isn't theoretical. This is the kind of tool that can save hours of work every single day.
How to Get the Most From This Course
Build Every Project
Each module includes hands-on projects. Don't skip them. The muscle memory of writing agent code is what will make you proficient.
Experiment Beyond the Examples
Once you understand a pattern, try applying it to your own use cases. What tasks in your work could be automated with an agent?
Embrace the Iteration
AI agents are probabilistic, not deterministic. You'll learn how to handle errors, edge cases, and the messiness of working with LLMs in production.
Join the Community
AI agent development is a rapidly evolving field. Connect with other students, share what you're building, and learn from each other.
A Note on the AI Landscape
The AI ecosystem moves fast. New models, tools, and frameworks emerge constantly. What you're learning in this course are the fundamental patterns that transcend any specific tool:
- How to structure agent workflows
- How to design reliable tool interfaces
- How to manage state and context
- How to handle errors and edge cases
- How to deploy production AI systems
Master these patterns, and you'll be able to adapt to whatever comes next.
Let's Build the Future
AI agents aren't science fiction anymore. They're business tools, and JavaScript developers are uniquely positioned to build them.
The companies that figure out how to augment their teams with AI agents will have a massive competitive advantage. The developers who can build those agents will be indispensable.
You're about to become one of them.
Let's get started.
Ready when you are. See you in Module 1.