Learn how generative AI and Firebase products can help shoppers find exactly what they are looking for in store – like at their local grocer. Genkit generates recipes and Data Connect helps locate items on shelves, all hosted on Firebase App Hosting.

Modernize your website and applications with Google’s specialized, AI-powered search products.

Build an AI-powered image detection game with Vertex AI in Firebase and Flutter. Begin to draw an object and watch Gemini analyze your doodle in real time and guess what you’re drawing. All in 20 seconds!

Build fully integrated streaming pipelines on Google Cloud and learn how to leverage AlloyDB, Datastream, BigQuery, Looker, and Vertex AI for real-time data analysis.

Did you know? You only need One API to Rule Them All! Google's Gen AI SDK provides a simple path to both the Gemini API and Vertex AI!

This hands-on lab equips you with the practical skills to build and deploy a real-world AI-powered chat application leveraging the Gemini LLM APIs. You'll learn to containerize your application using Cloud Build, deploy it seamlessly to Cloud Run, and explore how to interact with the Gemini LLM to generate insightful responses. This hands-on experience will provide you with a solid foundation for developing engaging and interactive conversational applications.

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!

This hands-on lab empowers you to build a cutting-edge multimodal question answering system using Google's Vertex AI and the powerful Gemini family of models. By constructing this system from the ground up, you'll gain a deep understanding of its inner workings and the advantages of incorporating visual information into Retrieval Augmented Generation (RAG). This hands-on experience equips you with the knowledge to customize and optimize your own multimodal question answering systems, unlocking new possibilities for knowledge discovery and reasoning.

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!

Software development life cycle (SDLC) agents enable developers to build and run applications more effectively. See how they reduce toil for developers in tasks like safety testing and code documentation.

Learn to leverage the newest graph query capabilities to find hidden patterns, and build a Customer 360 graph for more personalized product recommendations.

Use agentic AI to unify diverse data sources – including Firestore, web searches, and API services – to create individualized experiences for each customer and help them purchase your products.

Join us to discuss serverless computing and event-driven architectures with Cloud Run functions. Learn a quick and secure way to connect services and build event-driven architectures with multiple trigger types (HTTP, Pub/Sub, and Eventarc). And get introduced to Eventarc Advanced, centralized access control to your events with support for cross-project delivery.

Build smart context systems with retrieval-augmented generation (RAG) pipelines, vector embeddings, or built-in search capabilities.

Learn about key security features and practices to help you build and deploy agents securely using Vertex AI.

Access books or research papers worldwide – can Gemini seamlessly weave together info, summarize, and answer detailed questions with a long context window?

Build & deploy with Google Cloud Deploy! This hands-on lab equips you to create delivery pipelines, deploy container images to Artifact Registry, and promote applications across GKE environments.

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!

Learn how you can build your own agents, activate externally built agents, and leverage partner solutions in Google Agentspace.

Companies are improving customer experience and lowering costs with Google AI. Join this session to learn about our end-to-end customer engagement application that provides AI agents for self-service, agent assistance, and operational insights. Discover how you can achieve the same business impact our customers are realizing.

Transform customer engagement with Conversational Agents, Agent Assist, and Conversational Insights. Observe a multimodal agent in action, combining gen AI with business logic. Explore the unified console for building no-code conversational agents.

See how AI agents built for specific use cases are enabling new in-car voice assistance and food ordering experiences. Explore how you can integrate them to deliver personalized conversational engagements.

There are cases when you can’t use Google Cloud services but still want to get all benefits of AlloyDB integration with AI and serve a local model directly to the database. In such cases, AlloyDB Omni deployed in a Kubernetes cluster can be great solution, serving for edge cases and keeping all communications between database and AI model local.

Simplify AI inference using Cloud Run with GPUs and Google Axion Processors. Experience fast instance starts, rapid autoscaling, and scaling to zero with Cloud Run and optimize cost efficiency with Axion.

Bring generative AI capabilities to your local environment with Google Distributed Cloud. Maintain data residency without compromising on latency.

Continuously deploy Angular and Next.js web apps to Google Cloud from a connected GitHub repository on each commit. Firebase App Hosting detects your framework, builds your app in Cloud Build, and deploys to Cloud Run behind Cloud CDN.

Software engineering has become increasingly complex, with an ever-expanding set of patterns, frameworks, and runtimes. But help is here! AI is revolutionizing the developer workflow, and Google Cloud is reimagining the journey from idea to production. This keynote features demos that showcase how AI can streamline software engineering, empowering you to build important apps, services, and agents faster than ever.

Software engineering has become increasingly complex, with an ever-expanding set of patterns, frameworks, and runtimes. But help is here! AI is revolutionizing the developer workflow, and Google Cloud is reimagining the journey from idea to production. This keynote features demos that showcase how AI can streamline software engineering, empowering you to build important apps, services, and agents faster than ever.