🚀 Building AI-Powered Applications with Firebase: AI Logic vs Genkit

Ever wondered how to add Generative AI to your app the right way? 🤖🔥

In this session, we’ll break down two powerful Firebase approaches—AI Logic and Genkit—and help you decide when to use client-side AI and when to go backend for scalable, production-ready apps.

🎙 Speaker

Sasha Denisov

Chief Software Engineer, EPAM Systems

Google Developer Expert (AI, Firebase, Flutter, Dart)

Flutter Berlin Organizer

With 20+ years of experience, Sasha specializes in mobile AI, on-device intelligence, and scalable cloud architectures, helping teams build secure and high-performance AI-powered applications.

🌟 What You’ll Learn

• How Firebase AI Logic enables secure client-side AI using Gemini

• Real-time AI with Gemini Live API (voice & text streaming)

• Hybrid AI: combining on-device and cloud models

• When and why to use Genkit for backend AI workflows

• Building AI flows with RAG, APIs, and databases

• Best practices for production-ready AI architectures

🎯 Why You Should Join

• Understand real-world AI architecture decisions

• Learn from industry-scale use cases

• Build smarter, more secure AI-powered apps

• Ideal for mobile, web & backend developers

• Beginner-friendly but industry-relevant

📅 Event Details

📆 14 February 2026

⏰ 8:00 PM MYT | 1:00 PM (Germany)

💻 Google Meet

📝 Register Now

👉 https://forms.gle/X5mJUqLe126PJjfv7

Whether you’re building your first AI feature or scaling a production system, this session will help you choose the right Firebase AI architecture with confidence. 🚀✨

📣 Stay Connected

Telegram: https://t.me/gdgutm

Instagram: https://www.instagram.com/gdg.utm/

LinkedIn: https://www.linkedin.com/company/gdgutm/

Google Developer Groups on Campus

Universiti Teknologi Malaysia

#Firebase #GenAI #AIArchitecture #GoogleAI #GDGOnCampus #UTM #Flutter #Firebase #MobileAI #BackendDevelopment #Genkit #Gemini