AI Dev Launchpad - Build Your Foundation With JS & TS

Build your AI dev foundation with JS & TS — learn the language before you teach the machine.

What you'll learn
- Understand the core AI development concepts like tokens, embeddings, vectors, and vector databases in simple, practical terms.
- Learn how to use popular LLM APIs such as OpenAI, and Gemini to build intelligent applications.
- Build real-world AI projects using JavaScript and TypeScript, from basic API calls to full AI assistants.
- Implement RAG (Retrieval-Augmented Generation) pipelines and connect your apps to vector databases.
- Run and integrate local AI models directly on your computer using Transformers.js — no powerful hardware required.
- Gain the foundational understanding to transition from a web developer to an AI app developer confidently.

Requirements
- Basic understanding of JavaScript or TypeScript.
- A little experience with Node.js (if you know what npm run dev means, you’re good to go).
- A computer with internet access (no high-end GPU or special hardware needed).
- Curiosity and willingness to build — that’s it!

Description
The programming world is changing faster than ever. As a web developer, you might feel like AI is taking over — but here’s the truth:you don’t need a PhD in machine learning to build powerful AI-driven apps.

In this course, you’ll learn how to move from a traditional JavaScript/TypeScript developer to a confidentAI app developerwho understands modern tools and workflows.

You’ll discover that AI development isn’t about training models — it’s aboutusing them smartly. With powerful APIs fromOpenAI, Anthropic, and Gemini, plus open-source models fromHugging FaceandTransformers.js, you’ll learn how to integrate intelligence into your own apps.

We’ll cover everything from thefundamentalsto thereal-world building blocksof AI-powered systems, including:

How tokens, embeddings, and vectors actually work

Understanding and implementingRAG (Retrieval-Augmented Generation)

Working withvector databasesto give your apps memory

UsingLLM APIsandlocal modelswith ease

Building fully functional AI apps withJavaScript and TypeScript

This course iscompletely project-based— no endless theory or math, just practical, modern development.

If you’ve ever felt left behind by AI hype or struggled to make sense of complex ML jargon, this is yourlaunchpad. You’ll finish with the confidence and skills to start building your own AI-powered tools, websites, and apps.

Who this course is for:
- Web developers who want to upgrade their skills and transition into AI development.
- JavaScript or TypeScript programmers curious about building AI-powered apps.
- Frontend or backend developers who want to understand how LLMs, embeddings, and vector databases work.
- Anyone feeling left behind by the AI wave who wants a clear, project-based entry point.
- Developers who prefer hands-on learning instead of heavy theory or complex math.
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