The Ultimate Guide to Browser-Based AI in Angular: Privacy-First, Offline-Ready

Browser-based AI is no longer science fiction – it’s a practical, privacy-respecting, and cost-effective way to add powerful intelligence to your Angular applications. From real-time image generation and text analysis to offline copilots and edge ML, the browser has become an AI powerhouse. But how do we make sense of the evolving APIs, tools, and techniques?

In this session, we’ll take a deep dive into all the ways you can leverage AI directly in the browser with Angular. Whether you're building for performance, privacy, or offline resilience, you’ll leave with a clear roadmap for adding AI to your apps – no server roundtrips required.

Vorkenntnisse

Basic knowledge of web development

Lernziele

What You’ll Learn:

• The current landscape of in-browser AI and ML, from WebNN to WebGPU to WASM-powered inference
  
• How to run models fully offline in Angular apps using tools like ONNX Runtime Web, and Transformers.js
  
• A practical guide to using Web APIs like WebNN, WebGPU, WebAssembly, and Web Workers
  
• Trade-offs between in-browser inference, hybrid approaches, and cloud-based AI APIs
  
• Angular-specific techniques for model lifecycle, change