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0 Preface

Preface

1 Generative AI 101

What is Generative AI?
Machine Learning & Deep Learning
Neural Networks
Transformers
Models
Tokens & Tokenization
Inference
Memory and Context Windows
Limitations & Risks

2 Building Blocks for GenAI Apps Premium

Building Blocks
Project: Chatbot
The Web & JavaScript Ecosystem
POC to Production Readiness
How to Pick a Model
Local Offline Inference
Non-deterministic Abstraction
Prompt Engineering
Structured Data
Tool Calling
Model Context Protocol (MCP)
Skills
Sandbox: Secure Code Execution
Long Running Tasks and Workflows
Streaming
Observability
Evals
Guardrails
Infrastructure & Deployments
Cost and Budget

3 Agents Premium

Agentic Patterns
Project: Agentic Coding Tool
The Agentic Loop
SDKs — Frontier Labs and OSS
Harness Engineering
Coding Agents
Multi-Agent Orchestration

4 RAG & Document Understanding Premium

Retrieval Augmented Generation
Project: Knowledge Base
RAG: End to End Workflow
Embeddings & Vector Search
OCR and Document Understanding
Advanced RAG

5 Multi-modality Premium

Diffusion Models
Project: Creative Asset Pipeline
Images & Video
Audio here
Creative Workflows
Generative UI

6 AI in the Browser Premium

Project: In-Browser Inference
WebNN
WebLLM
WebMCP
MediaPipe
Transformers.js
Chrome DevTools for AI
TensorFlow.js
Fine-Tuning

7 Cloudflare: Production-grade AI Platform Premium

Build and Deploy a Fullstack AI App on Cloudflare
Cloudflare Developer Platform
Compute
Storage
Network, Security, and Other Useful Primitives
AI Features

8 Additional Material Premium

Useful Resources
Deep Research Agent
Handouts

Audio

10 min read

Premium Content

Audio

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