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!

Unlock the power of AI! Build your own intelligent agent with hands-on guidance from Google Cloud Consulting's leading AI experts. No experience needed, just a desire to innovate and build into the future with AI!

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.

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

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.