
Building AI-Powered Apps with Angular
Hands-On guide to creating Agentic Angular Apps with Google AI and Gemini model
Packt Publishing
Will be published approx. on 26. June 2026
Book
Paperback/Softback
978-1-80638-349-8 (ISBN)
Description
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 DescriptionIn 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 forThis 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.
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 DescriptionIn 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 forThis 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.
More details
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
Dimensions
Height: 235 mm
Width: 191 mm
ISBN-13
978-1-80638-349-8 (9781806383498)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Giorgio Boa is a passionate full-stack developer with a strong background in modern JavaScript frameworks. He is the author of several successful open-source projects with hundreds of thousands of weekly downloads, contributing to the next generation of web applications. Recognized as a Microsoft Most Valuable Professional (MVP) and Google Developer Expert (GDE), he also contributes to Google projects like Genkit and Firebase. Additionally, his experience extends to integrating cutting-edge technologies like Firestore and Gemini at scale, bringing the power of AI to real-world applications. A dedicated learner and international speaker, Giorgio is passionate about sharing his expertise with the global tech community. Fabio Biondi is a freelance developer and instructor who has dedicated his professional life to technical education, mentoring thousands of developers. Recognized as a Google Developer Expert in Angular since 2018, he has devoted himself to mastering frontend technologies before expanding his focus to generative AI. Through his platform LearnByDo[dot]ing and presence on social media, Fabio regularly shares technical videos and insights. His mission continues to be empowering the dev community by evolving from core web technologies to the latest innovations in artificial intelligence.
Content
Table of Contents
AI for Frontend Developers
Getting Started with Google Gemini
Working with Prompts
Building a UI in Angular with Google Gemini
Creating Images with Gemini and Angular
Producing and Managing Videos with VEO Models
Gemini QuickStart with Angular Server-Side Rendering
Building an MCP with Node, Genkit, and Angular
Implementing Vector Search with RAG and Firestore
Smart Data Handling and Storage Strategies
Bulletproof Testing and Debugging Strategies
Error Handling, Security, and Debugging
Deploying Your AI-Powered App to the Cloud
AI for Frontend Developers
Getting Started with Google Gemini
Working with Prompts
Building a UI in Angular with Google Gemini
Creating Images with Gemini and Angular
Producing and Managing Videos with VEO Models
Gemini QuickStart with Angular Server-Side Rendering
Building an MCP with Node, Genkit, and Angular
Implementing Vector Search with RAG and Firestore
Smart Data Handling and Storage Strategies
Bulletproof Testing and Debugging Strategies
Error Handling, Security, and Debugging
Deploying Your AI-Powered App to the Cloud