Building AI-Powered Apps with Firebase: AI Logic vs Genkit — ft. Sasha Denisov (GDE) | GDGoC UTM

Описание: Ever wondered how to add Generative AI to your app the right way? 🤖🔥 In this expert-led session, we break down two powerful Firebase approaches—AI Logic and Genkit—to help you decide how to build scalable, production-ready AI applications.

Whether you are debating client-side AI for speed or backend workflows for power, Sasha Denisov (Chief Software Engineer & GDE) provides the architectural roadmap you need to build with confidence.

🎙️ Featured Speaker:
Sasha Denisov
Chief Software Engineer, EPAM Systems | Google Developer Expert (AI, Firebase, Flutter, Dart)
With 20+ years of experience and based in Berlin, Germany, Sasha is a world-class specialist in mobile AI and on-device intelligence. He helps global teams build secure, high-performance cloud architectures and is a leading voice in the Flutter and Firebase communities.

🌟 What You’ll Learn:
Firebase AI Logic: How to enable secure client-side AI using Gemini.
Real-Time Interaction: Implementing the Gemini Live API for voice and text streaming.
Hybrid AI Strategies: How to effectively combine on-device and cloud models for the best user experience.
Genkit Deep Dive: When and why to transition to Genkit for complex backend AI workflows.
RAG & Data: Building advanced AI flows that integrate with your APIs and databases.
Production Standards: Best practices for security, scalability, and performance in AI architectures.

🎯 Why This Matters:
AI is moving fast, and choosing the wrong architecture early on can lead to massive technical debt. This session is designed for Mobile, Web, and Backend developers who want to understand industry-scale use cases and move from simple "chatbots" to sophisticated, AI-powered systems.

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