Building AI-Powered Apps with Angular: Hands-on guide to creating agentic Angular apps with Google AI and Gemini models (Paperback) (ISBN-13: 9781806383498)

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.

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