Building AI-powered apps with Angular : hands-on guide to creating agentic Angular apps with Google AI and Gemini models / Giorgio Boa, Fabio Biondi.

Format:

Book

Author/Creator:

Boa, Giorgio, author.

Biondi, Fabio, author.

Language:

English

Subjects (All):

AngularJS (Software framework).

Application software--Development.

Application software.

JavaScript (Computer program language).

Natural language processing (Computer science).

Web applications--Design.

Web applications.

Physical Description:

1 online resource

Place of Publication:

Birmingham : Packt Publishing, 2026.

Summary:

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...

Contents:

Intro

Building AI-Powered Apps with Angular

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

Foreword by Mark Thompson

Foreword by Riccardo Carlesso

Contributors

About the authors

About the reviewers

Table of Contents

Preface

Who this book is for

What this book covers

To get the most out of this book

Download the example code files

Conventions used

Get in touch

Free benefits with your book

How to Unlock

Part 1

AI First Principles

1

AI for Frontend Developers

Machine learning fundamentals

Supervised learning: Learning from tagged instances

Unsupervised learning: uncovering latent structures

Reinforcement learning: Mastering through experimentation

False positive, false negative, true positive, true negative

Understanding neural networks and deep learning

The neuron: the basic building block

Connecting neurons: Layers and networks

Connections and weights

The learning process

Introduction to large language models (LLMs)

What makes LLMs so powerful?

Interacting with LLMs: The art of prompt engineering

Key parameters for LLM interactions

Tokens and tokenization

How tokenization works

Best practices for using LLMs

Interacting with AI models

Summary

Get this book's PDF version and more

2

Getting Started with Google Gemini

Technical requirements

What is Google Gemini

Gemini models

Setting up an API key via Google AI Studio

Setting up a Node.js project and using Gemini API

Exploring the Gemini API and GenAI SDK

Constructing and sending a web request

API endpoint

Request body

Fetching data

Google Gen AI SDK

Use environment variables

Streaming content

Performance and consumption

Request duration

Usage metadata

Thinking level

3

Working with Prompts

Introducing prompt design

Multiple prompts

Markdown syntax vs HTML

Multimodal prompts

Exploring prompt tools and configurations

urlContext

Without URL context

Using URL context

Token consumption

Google search

Understanding grounding metadata

No tools vs urlContext vs Google Search

Scenario 1: Without tools (the model alone)

Scenario 2: With url context

Scenario 3: With Google Search

Structured output

Temperature

Case A: temperature 0.1 (low creativity)

Case B: temperature 0.9 (high creativity)

Top-P and Top-K

System instructions

Stateful vs stateless

AI and context window

Lost in the middle issue

Part 2

Integrating AI into Angular

4

Building a UI in Angular with Google Gemini

Creating a modern Angular project

Router

Navigation bar

Global styling

Using signal forms

Visualizing validation errors

Resetting the state

Submit the form

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9781806383498

OCLC:

1591606611

Publisher Number:

CIPO000380089