Building AI-Powered Apps with Angular. Hands-On guide to creating Agentic Angular Apps with Google AI and Gemini models - Helion

Tytuł oryginału: Building AI-Powered Apps with Angular. Hands-On guide to creating Agentic Angular Apps with Google AI and Gemini models
ISBN: 9781806383481
Format: ebook
Księgarnia: Helion
Cena książki: 129,00 zł
Książka będzie dostępna od kwietnia 2026
In AI-Powered Angular Apps, 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.
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Spis treści
Building AI-Powered Apps with Angular. Hands-On guide to creating Agentic Angular Apps with Google AI and Gemini models eBook -- spis treści
- 1. AI for FrontEnd Developers
- 2. Getting Started with Google Gemini
- 3. Working with Prompts
- 4. Angular & Google Gemini
- 5. Creating Images with Gemini and Angular
- 6. Producing and Managing Videos with VEO Models
- 7. Gemini QuickStart with Angular Server Side Rendering
- 8. Building a MCP with Node, GenKit, and Angular
- 9. Implementing Vector Search with RAG and Firestore
- 10. Smart Data Handling and Storage Strategies
- 11. Bulletproof Testing and Debugging Strategies
- 12. Error Handling, Security and Debugging
- 13. Deploying Your AI-Powered App to the Cloud
- 14. The Future of AI in Web Development





