Building AI-Powered Apps with Angular
Master the future of web development. Learn to build next-generation agentic applications using Google AI and Gemini models within the Angular ecosystem.

Integrating Gemini models transforms static Angular interfaces into proactive digital assistants.
Chapters
Step-by-step guidance through the neural frontier, from AI foundations to professional cloud deployment.
AI for FrontEnd Developers
Explore how AI is reshaping the landscape for frontend developers and the transition to intelligent interfaces.
Getting Started with Google Gemini
Set up your environment and make your first API calls to Google Gemini using Angular.
Working with Prompts
Learn the art and science of prompt engineering to extract high-quality responses from LLMs.
Building a UI in Angular with Google Gemini
Integrate Gemini directly into your Angular components to create dynamic, AI-driven user experiences.
Creating Images with Gemini and Angular
Harness the power of multimodal AI to generate and manipulate images directly within your application.
Producing and Managing Videos with VEO Models
Dive into advanced video generation and management using the latest VEO models.
Gemini QuickStart with Angular SSR
Optimize your AI applications for speed and SEO with Angular SSR and Gemini.
Building a MCP with Node, GenKit, and Angular
Architect robust, scalable AI backends using Model Context Protocol, Node.js, and GenKit.
Implementing Vector Search with RAG
Master Retrieval-Augmented Generation (RAG) using Firestore and vector search for grounded AI responses.
Smart Data Handling and Storage Strategies
Best practices for caching, managing, and storing AI-generated data efficiently.
Bulletproof Testing and Debugging
Professional techniques for testing AI integrations and ensuring deterministic results in a probabilistic world.
Error Handling, Security and Debugging
Comprehensive strategies for securing your AI apps and handling complex error states gracefully.
Deploying Your AI-Powered App to the Cloud
Take your application from local development to a global scale using cloud-native deployment.
Source code & Repositories
Access the complete companion repositories. Every chapter includes fully documented source code, from prompt engineering experiments to production-ready agentic systems.
angular-gemini-core
Core integration patterns for Vertex AI and Gemini models in Angular.
agentic-ui-patterns
Examples of self-correcting interfaces and autonomous task agents.
prompt-engineering-lab
A playground for testing and refining prompts for frontend apps.
fullstack-ai-demo
The complete, production-ready application built throughout the book.

