
AI Dev Launchpad – Build Your Foundation With JS & TS
Published 10/2025
Duration: 6h 21m | .MP4 1280×720 30 fps(r) | AAC, 44100 Hz, 2ch | 3.32 GB
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.
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.
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.
More Info

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