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.

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.

The rise of AI-powered code generation tools presents a compelling alternative to traditional UI prototyping frameworks. This talk explores the question: Is it time to ditch the framework overhead and embrace core web technologies (such as HTML, CSS, JavaScript) for faster, more flexible prototyping? We’ll examine the trade-offs between structured frameworks and the granular control offered by a “bare metal” approach, augmented by AI assistance. Learn when leveraging AI with core tech becomes the smarter choice, enabling rapid iteration and bespoke UI designs, and when frameworks still reign supreme.

Transform vehicle operational data into actionable intelligence. Reduce maintenance downtime, optimize fleet operations, and make data-driven decisions through interactive diagnostics using Gemini models and BigQuery.

Experience the power of Gemini! Design and deploy a self-driving car agent in a simulated environment. Learn how Gemini can generate code, handle real-time decisions, and help you build the future of autonomous transportation.

Improve AI reasoning and deliver more insightful and relevant customer experiences with GraphRAG systems, powered by Spanner’s multimodel capabilities and Vertex AI.

Improve search and rescue readiness, even offline. Learn secure equipment maintenance practices for emergency operations.

What if you could just speak to websites in the future? Learn how to use a local web AI agent in this case, Google’s Gemma 2 LLM (2B), running in browser via WebGPU (for privacy and cost) to enable a more natural interface to perform tasks on your site.

Try out Firebase Studio, a suite of AI-powered tools for full-stack developers to build, deploy, and operate agentive apps.

Can you out-smart AI? Step into the Gemini Playspace to explore the bounds of Google's latest Gemini models. Test your prompts, generate compelling images, and discover unique AI-powered outputs.

Create stunning visuals with Veo and Imagen. Open new possibilities with new customization capabilities.

Are you ready to get hands-on with Google Cloud’s AI tools? In this 2 hour gHack, you will work in teams of 4. Together you will build a Formula E Race Analysis System from scratch using a variety of our AI and Data tools. Teams will work together to build the solution by searching, learning and collaborating together to find the answers needed. 3-2-1 lights out and away we go!

Build Google-quality search for your organization. Transform how users find enterprise information.

Get goofy with it! Dream up an image that's as bizarre and wonderful as possible, then describe it with text. Can you make the model go "Whoa, that's... something?"

Integrate third-party DevOps products into the Google Cloud software development life cycle (SDLC), starting with a CI/CD pipeline and ending on alerting and incident reporting.

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.

Speak on a random topic, changing tone/style. Use prompts (e.g., "summarize," "tone," "takeaways") & watch Gemini analyze speech in real-time!

This hands-on lab guides you through importing real-world data from CSV files into a Cloud SQL database. Using a flight dataset from the US Bureau of Transport Statistics, you'll gain hands-on experience with data ingestion and basic analysis. You'll learn to create a Cloud SQL instance and database, effectively import your data, and build a foundational data model using SQL queries.

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 to use Gemini Cloud Assist to manage applications, from infrastructure design and AI-powered troubleshooting to performance and cost optimization.

Join Google Cloud and Quantiphi for a workshop on how to build and deploy powerful conversational AI agents using the Customer Engagement Suite with Google AI. Learn best practices and leave with actionable strategies to improve your customer experience.

Learn how AI-assisted coding and agents improve your development and modernization workflows. Observe Gemini Code Assist perform ticket review, code generation, code rewrite, and spec generation, as well as COBOL to Java mainframe code transformation.

Monitor generative AI workloads using Google Cloud Observability, including alerting and troubleshooting.

Optimize capacity allocation, workload performance, and cost of running applications with the help of AI.

Enhance factory performance with AI analytics. Monitor operations, protect assets, and empower workers using edge computing.

In this hands-on lab, you'll explore the power of Kubernetes and learn how to orchestrate cloud applications with ease. Using Google Kubernetes Engine, you’ll provision a fully managed Kubernetes cluster and deploy Docker containers using kubectl. Break down a monolithic application into microservices using Kubernetes Deployments and Services, and gain insights into the latest innovations in resource efficiency, developer productivity, and automated operations. By the end, you'll be ready to streamline application management in any environment.

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!