Talk: A live, end-to-end demo of wiring an open-source vision-language model (SmolVLM) into Vertex AI - with a lightning primer on what Vertex AI is, which quotas matter (GPUs), and how to pick the right model tier for your latency x cost sweet spot. We’ll then drive that endpoint from a Firebase web app that streams camera frames and spits back analytics in milliseconds - real-time video AI minus the heavyweight MLOps baggage. Target Audience: Cloud and DevOps engineers, full-stack developers, AI-ML hobbyists, and startup builders already shipping (or keen to ship) on GCP who want a pragmatic path to weaving generative/computer-vision AI into their products and pipelines. Takeaways: A checklist for matching model size/tier to performance and budget. A lightweight pattern for streaming video to that endpoint via Firebase and turning frames into instant insights.

Firestore with MongoDB compatibility is a serverless database service  designed to maximize scalability, high availability and performance without the hidden costs of capacity planning. This session demonstrates the new Firestore with MongoDB compatibility capabilities and discusses how Dialpad has built an Ai-powered customer communications platform leveraging Firestore over the last 14 years to grow a successful, performant, reliable business.

Join us for an in-depth session on Firebase Genkit, an open source framework that simplifies the development of AI-powered applications. Discover how to use the Node.js and Go SDKs to build intelligent chatbots, multimodal content generators, streamlined automation workflows, and agentive experiences. We'll demonstrate how Genkit's unified interface seamlessly integrates Google's Gemini and Imagen models, self-hosted Ollama options, and a variety of popular models from Vertex AI Model Garden. 

Discover how some of the world’s most innovative companies modernized and transformed their applications with the power of Firestore, Firebase, and cutting-edge generative AI. Learn how they leveraged the latest technologies, such as edge computing and AI, to enhance customer experiences at every stage of the customer journey. Explore their innovative architecture and gain insights into building modern, engaging applications that deliver exceptional customer experiences.

Are you a site reliability engineer (SRE) for an organization running generative AI workloads? If gen AI is transforming your workloads, are your SRE skills keeping pace? This session is a must for SREs facing the unique challenges of gen AI. Learn to adapt the four golden signals – tackling latency in multistage pipelines, user satisfaction in nondeterministic systems, and new error types like hallucinations. Discover how Google Cloud Observability and Firebase Genkit AI monitoring can help you master gen AI SRE.

Flutter powers beautiful apps featuring custom designs, high performance, and access to the latest iOS APIs and features, while Firebase SDKs for Flutter make it easy to add backend functionality. Join this session to learn how to use these technologies together to build full-stack apps for iOS and then share that code across Android, web, desktop, and more.

Join this session to discover how a phone plan selection app, built with Flutter and Firebase, leverages Gemini 2.0 to enhance and simplify the customer experience. Gain insights into the technical architecture, identify actionable strategies to implement similar AI-driven solutions in your own apps, and understand the key principles of using AI to enhance the customer experience.

Firestore with MongoDB compatibility is a serverless database service  designed to maximize scalability, high availability and performance without the hidden costs of capacity planning. This session demonstrates the new Firestore with MongoDB compatibility capabilities and discusses how Dialpad has built an Ai-powered customer communications platform leveraging Firestore over the last 14 years to grow a successful, performant, reliable business.

Dive into Firebase Genkit, an open-source framework for building production-ready AI applications. This hands-on lab guides you through creating a Genkit project using the Gemini Flash foundation model. You'll learn to define flows and prompts, leverage the Genkit developer user interface, and gain insights from flow and prompt traces. Experience the power of Genkit to build innovative AI applications with ease.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

Join this session to learn how to ground your AI with relevant data with retrieval-augmented generation (RAG) from Firebase Data Connect, which brings rapid development and intelligent context from your Cloud SQL database to your generative AI experiences. Data Connect makes it easy to connect your app, data, and AI all together, and seamlessly integrates Vertex AI and Cloud SQL to make RAG easy and ready for AI agents.

Learn how Firebase App Hosting simplifies deploying and managing Next.js and Angular web apps on Google Cloud infrastructure. With seamless GitHub integration, global scalability, and built-in observability, App Hosting is designed for production-ready deployments. In this session, you’ll watch live demos and explore streamlined workflows to elevate your web app deployment process.

 Everyone has parts of the software development process they find tedious or toilsome. With Gemini Code Assist agents, we can reduce that toil and boost your productivity by intelligently assisting you throughout the entire SDLC. By walking through an example with our unique, agent-driven approach to building and querying code documentation in the newly launched Firebase Studio, we’ll show you how AI agents can accelerate your development and allow you to focus on what you truly enjoy: coding.

Generative AI offers exciting possibilities, but its unpredictable nature can make it challenging to deploy in a production environment. In this session, we’ll explore how to confidently deploy gen AI features to your apps using Firebase Genkit and Firebase Remote Config.

We live in a different era – one where developers need access to larger tools, data and code need to be more secure, and ultimately still more work needs to get done. Learn about methods on Google Cloud to leverage remote development effectively for all your software development needs, from Day 1 to production. You’ll experience Cloud Shell in action, how Cloud Workstations powers your AI development needs, and container and developer tools that make deployment simple. Power to the devs.

Google brings together the scalability, reliability and ease-of-use of Firestore with MongoDB compatibility. The session will showcase Firestore with MongoDB compatibility and its capabilities. In addition, Mayo Clinic will present their use of Firestore for multiple workloads including using Firestore’s GenAI capabilities for delivering personalized experiences in their applications. 

Supercharge your Android apps with the power of generative AI. This session explores the Vertex AI integration with Firebase that empowers mobile developers to easily leverage Gemini and Imagen 3 for cutting-edge features like image generation. Learn production best practices, discover complementary Firebase solutions, and unlock new levels of creativity and user engagement in your apps.

Join this session for a deep dive into how Firebase is empowering developers, with a focus on creating agentic experiences that amplify your capabilities and streamline your workflow. Learn about our latest innovations, upcoming features, and commitment to fostering a thriving developer community. Whether you’re a seasoned Firebase developer or just getting started, join us to gain valuable insights and inspiration for your next app.

Du Game Dev à l'App Dev: créer des applications métiers innovantes avec Unity et Firebase.

Check out Google’s recommended architecture for bringing agents to your products, powered by Gemini, Firebase, Google Cloud, and Angular.

Use generative AI to suggest gardening products to customers based on their specific needs. We use Genkit to help users determine what’s wrong with their house plants and which gardening products could help revive those plants.