This hands-on lab guides you through building a captivating generative AI application using the Gemini API in Vertex AI. You'll leverage the Streamlit framework to create an interactive interface for generating stories, providing a seamless user experience. After testing your application locally in Cloud Shell, you'll deploy it to Cloud Run for scalable and reliable serving. This hands-on experience equips you with the skills to integrate Gemini with user interfaces and efficiently deploy your AI 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!

Want large language models (LLMs) that are truly knowledgeable and context-aware? This session explores the latest advancements in grounding, expanding the knowledge frontier for LLMs. You’ll learn about recent launches that allow you to ground your models with data across Google Search, curated industry data, Google Maps, and much more.

Discover how a leading transportation and logistics firm automated shipment document processing using Google's Gemini 1.5 Pro multimodal LLM with Pythian. Learn how they reduced driver dwell times by 10x, improved cargo throughput, and enhanced operational efficiency.  Hear the pros and cons of automating data extraction in the transportation industry and explore how Google Cloud Platform and Vertex AI were used to create an all-in-one solution that scans documents, extracts data, validates accuracy, and integrates with existing systems.

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Google is transforming its marketing workflows with AI, slashing task time from weeks to minutes. This session explores the business problem and the solution: a Gemini-powered product that embeds AI-assisted content creation directly into our publishing platform replacing over 10 disparate tools. We will share some key technical considerations when working with Gemini including API design, prompt engineering versus fine-tuning, and evaluation techniques to ensure high quality output. Learn how to achieve similar results by integrating AI into your marketing ecosystem.

Building product recommendation system/chat bot using LLMs is simple... on paper. In reality, simple RAG covers only the simplest scenarios. To cover more complicated one, you may want to learn about such things as a conversation graph, logical and semantic routing, hybrid search etc. In this talk I share lessons and tricks we have learn during building product recommendation system using Gemini.

What if closing a mortgage was faster, simpler, and more efficient than ever before? United Wholesale Mortgage (UWM), the nation's top loan originator, is making that vision a reality with Google AI. UWM is already seeing dramatic results, including a doubling of underwriter productivity in just nine months. Join us to discover how UWM is leveraging Vertex AI, Gemini Flash, and BigQuery to create a seamless experience for brokers and homebuyers and share their exciting vision for the future of home financing, including agentic AI experiences.

Join us to explore the next generation of in-car experiences. Discover how leading automakers are leveraging Automotive AI Agent and Google Cloud’s Gemini model to build cutting-edge, multimodal automotive assistants. Learn how to create unique brand experiences with customized voice assistants, complete data ownership, and personalized in-car interactions. This session will showcase the power of hybrid voice assistance and how you can unlock the potential for differentiated driver experiences through custom features and granular control.

Breakthrough innovations are great, but are you wondering how other enterprises are using Gemini and Vertex AI? Join Google and industry experts in this session to learn how they are using Gemini and Vertex AI in production to power their workforces and workflows with AI.

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!

A clean energy platform that connects residents, businesses, and other consumers with clean energy facilities that lower their electric costs, centralized data from CRM and billing systems in BigQuery for churn analysis. Historically, account managers manually reviewed cancellation cases, parsing emails and call transcripts to categorize reasons using a complex 65-category system, later condensed into 16 actionable insights. By leveraging Google Gemini, we automated this process, training the LLM to analyze customer interactions and assign accurate categories, streamlining operations and enhancing retention strategies.

Commerzbank, the largest bank in Germany, is using Gemini to transform its financial advisory workflows. The company is seeing significant reductions in processing time of client documentation and increases in productivity with Vertex AI. Learn how Gemini's ability to understand multiple modalities and process long documentation along with the generative AI evaluation service on Vertex AI, played a key role in streamlining operations and enhancing the client experience.

Unlock the power of AI-assisted coding in BigQuery with this hands-on lab. Learn how to generate SQL queries using natural language prompts, utilize BigQuery's code explanation and transformation features, and collaborate with Gemini to review, debug, and optimize your SQL code. Whether you're looking to streamline query development or troubleshoot issues, this session will enhance your ability to write and refine code efficiently using Gemini's intelligent capabilities in BigQuery.

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 your Google Workspace experience with the power of Gemini. This fast-paced session dives into practical integrations using Apps Script, Vertex AI, Python, and Node.js to automate workflows and unlock new levels of efficiency. Discover how to leverage Gemini for intelligent task management, data-driven insights, and building custom AI solutions. Leave with actionable strategies and code snippets to immediately boost your productivity.

Accelerate Android development in your company with the new Gemini in Android Studio Standard and Enterprise tiers. These new tiers bring together the best of Google AI coding assistance, AI capabilities for Android development, and the enterprise-readiness of Gemini Code Assist. In this session, you’ll learn about the benefits of Gemini in Android Studio and how to use the wide array of features – such as compose preview generation, transforms, chat, and more – to take your company’s Android development to the next level.

Go under the hood to understand how the database features of Gemini Code Assist are giving application developers exciting new superpowers. Learn how Gemini powers the industry’s leading automated database querying, smarter application code wrangling in the integrated development environment (IDE), and entirely new agentic AI application features powered by enterprise data. Learn from Google Cloud engineers, and industry experts about how these features are having an impact today. And discover the secret sauce that makes these superpowers possible.

Boost your productivity with Gemini Code Assist tools. This session demonstrates how to seamlessly integrate your daily tools – source code management, task management, Google Drive, and more – directly into your integrated development environment with Gemini Code Assist chat. Discover the latest Gemini Code Assist features and capabilities, learn best practices for integrating AI into your software development workflow, gain insights into modernizing legacy codebases, and learn how to improve code quality and accelerate development cycles.

Want to deploy open source models efficiently? Join this session for a technical deep dive into best practices for deploying and optimizing models like Llama and Gemma on Vertex AI.

Learn how to leverage Gemini's long context for creating and interpreting data analytics queries using Agentic Retrieval Augmented Generation with NL2SQL techniques and reasoning.

Transform your AI research into real-world applications with Google’s latest tools. This session explores the seamless integration of the Gemini API, Google AI Studio, Gemma, and Kaggle to accelerate your development workflow. Learn how to build and prototype models effortlessly, leverage lightweight open models, and collaborate with a thriving community. Discover how to deploy your experiments in production using Cloud Run and Vertex AI. Join us to bridge the gap between research and reality with Google AI.

Jeff, Head of Product at Hugging Face, will walk you through the latest and greatest from Hugging Face to build your own AI models, agents and applications using open models, open source and Google Cloud. Learn how to easily deploy the latest LLM on Vertex AI and GKE, how to accelerate and scale your models on TPU.