Building AI-Powered Apps with Angular

Hands-on guide to creating agentic Angular apps with Google AI and Gemini models

By: Giorgio Boa, Fabio Biondi, Mark Thompson (Foreword by), Riccardo Carlesso (Foreword by)

Write A Review

eText | 26 June 2026 | Edition Number 1

At a Glance

Format
ePUB

eText

$54.99

or 4 interest-free payments of $13.75 with

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

Build and deploy AI-powered Angular apps using Gemini, Genkit, multimodal AI, MCP, and RAG to create intelligent UIs, generate images or video, and turn concepts into scalable cloud solutions

Key Features

Integrate cutting-edge AI such as Gemini and multimodal capabilities into Angular apps
Build intelligent features such as image and video generation, MCP, RAG
Deploy robust, scalable AI solutions to the cloud
Purchase of the print or Kindle book includes a free PDF eBook

Book Description

In Building AI-Powered Apps with Angular, you'll embark on an end-to-end journey to revolutionize web development with artificial intelligence. This hands-on guide shows you how to integrate cutting-edge AI capabilities, particularly Large Language Models (LLMs) like Google Gemini and multimodal agents, directly into your Angular applications. Starting with AI/ML fundamentals and an introduction to Google Gemini using Node.js, you'll quickly progress to building sophisticated AI features within your Angular frontend. You'll create dynamic content, design intelligent multi-turn chat interfaces, and harness multimodal AI to analyze and generate rich media such as images and videos. The journey extends beyond the frontend. You'll build robust backends with Angular Server-Side Rendering and Genkit, enabling seamless communication with AI models. You'll also implement advanced search capabilities using Retrieval Augmented Generation (RAG) and Firestore and learn how to deploy your AI-powered Angular app to the cloud. By the end of the book, you'll have the skills to design, develop, and deploy innovative and intelligent Angular applications that leverage the full potential of AI.

What you will learn

Integrate LLMs and Gemini multimodal AI into Angular
Build dynamic text generation and interactive chat interfaces
Create AI-driven image and video generation tools
Implement RAG with Firestore for grounded LLM responses
Develop robust Angular SSR apps with advanced AI-powered features
Master testing, security, and deployment for AI solutions
Understand ethical AI practices in web development
Strategize AI for growth and innovation in Angular products

Who this book is for

This book is for mid-level to senior Angular developers who want to integrate advanced AI capabilities into their applications. It's also ideal for team leads and C-level executives looking to understand and implement AI strategies for driving innovation and growth within their Angular-based products. A solid grasp of Angular fundamentals and TypeScript is assumed. While not strictly required, familiarity with fundamental AI/ML concepts like LLMs and APIs will be helpful, as the book provides comprehensive context necessary for AI integration.