Seamlessly search your first and third party enterprise data with Google Agentspace. Discover its ready-to-use agents and other upcoming features, transforming how you work and access information.

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

Enter our court and get pro-level jumpshot coaching from Google AI. Get instant feedback on your form, receive personalized tips, and find out exactly how to elevate your game.

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.

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.

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!

Play a game of pinball to learn about how Model Armor can protect your LLM app. Shoot shots to send prompts to Gemini, and watch as Model Armor detects and blocks prohibited prompts and responses.

Streamline data analytics workflows with AI assistance. Enhance data team productivity and reduce costs.

Go beyond the standard Google Workspace experience. Learn how to extend and integrate with the Workspace platform, and explore how Qodea and others have leveraged the Workspace platform to create custom solutions that have boosted efficiencies, driven productivity, and reduced user workloads.

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.

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

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

Planning to build AI agents, but unsure where to start? This session provides a practical guide to agent design for both developers and non-coders. We’ll discuss key design tradeoffs, best practices, and how to match your use case, data, and team with the right tools and techniques.

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

Build and run predictive models using SQL in BigQuery. Leverage the latest models for generative AI tasks.

Create agents for complex, real-world tasks that require specialized functionalities beyond text.

Need precise data extraction from your documents?  This hands-on lab teaches you to build custom document extractors with Document AI Workbench. Learn to create, train, and evaluate a model tailored to your specific document types and achieve higher processing accuracy.

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!

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.

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.