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🧠 Generative AI with JavaScript – Full Course

Learn to build GenAI apps using JavaScript, local LLMs (like Ollama), and modern AI tools. This course takes you from fundamentals to full-stack AI deployment.


πŸ“š Course Overview

Duration 8–12 Weeks
Skill Level Beginner β†’ Intermediate
Prerequisites JavaScript/Node.js basics

πŸ—ΊοΈ Course Structure

πŸ“˜ Module 1: AI & LLM Fundamentals

  • What is AI, ML, LLM?
  • Transformers, Attention, Tokens
  • Prompt Engineering 101

Assignment: Write a blog post on "How LLMs Work"


πŸ“˜ Module 2: JavaScript for AI

  • Async/Await, fetch(), APIs
  • NPM packages, JSON
  • Node.js app setup

Assignment: Simple app that fetches from a public API


πŸ“˜ Module 3: OpenAI API with JavaScript

  • GPT-3.5, GPT-4 models
  • Completion vs ChatCompletion
  • Role-based conversations

Projects:

  • Chatbot in Node.js
  • Frontend chat app using React or HTML

πŸ“˜ Module 4: Local LLMs with Ollama

  • Install & run models locally
  • Using Ollama’s REST API
  • Compare local vs cloud LLMs

Projects:

  • Local LLM chatbot (Ollama + JS)
  • Compare answers with OpenAI

πŸ“˜ Module 5: Embeddings & RAG

  • What are embeddings?
  • Introduction to RAG (Retrieval-Augmented Generation)
  • ChromaDB / Pinecone vector stores

Projects:

  • File Q&A bot (ask questions from local files)

πŸ“˜ Module 6: LangChain.js

  • Chains, Memory, Tools
  • Retrieval QA with LangChain
  • Connect with Ollama or OpenAI

Projects:

  • AI research assistant with memory
  • Chatbot with custom document knowledge

πŸ“˜ Module 7: Frontend AI Apps

  • React / Vanilla JS frontend
  • Streaming responses, UI design
  • Text-to-speech, speech-to-text

Projects:

  • AI voice assistant
  • Deploy chat app to Vercel

πŸ“˜ Module 8: Deployment

  • Frontend: Vercel / Netlify
  • Backend: Railway / Render
  • Dockerizing Ollama
  • Securing env keys

Projects:

  • Deploy full-stack AI app
  • Run Ollama-powered API locally

πŸ§ͺ Bonus Module: Advanced Topics (Optional)

  • Agents (LangGraph, Tool use)
  • WASM LLMs (browser-based)
  • Multi-modal LLMs (text + images)
  • Fine-tuning overview (LoRA, QLoRA)

πŸŽ“ Final Capstone Project

Choose one:

  • πŸ“„ Custom Chatbot using your documents
  • πŸŽ™οΈ Voice Assistant with GenAI
  • πŸ€– Slack or Discord AI bot
  • πŸ’‘ Developer Copilot using Codellama

🧰 Tools You'll Use

Category Tools/Libraries
LLMs Ollama, OpenAI
Vector DBs ChromaDB, Pinecone
Frameworks LangChain.js, LlamaIndex.js
Frontend React, Vite, HTML/CSS
Backend Node.js, Express
Deployment Railway, Docker, Vercel

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