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.

Gemini models were built from the ground up to be multimodal, which has enabled a new frontier of applications that were not possible cost- and performance-wise. Join Jean-Baptiste Alayrac and Anirudh Baddepudi to explore how Gemini is enabling an entirely new computer vision ecosystem powered by large language models (LLMs), where the models show the strongest potential, and how to get the most out of Gemini for vision use cases.

Discover how Gemini can transform team collaboration in Google Chat and Google Meet. This session explores how Gemini can ignite brainstorming and help generate creative ideas; streamline meeting management with the effortless capture of notes and next steps; break down language barriers with real-time translation; unlock valuable insights, takeaways, and action items from conversations; and more. Learn how leading organizations are leveraging Gemini to help their teams do more, and how you can get started today.

This talk will demonstrate how the SAP user community can use Looker/Explore Assistant Chatbot to explore data insights into SAP ERP data stored on Google Cloud's BigQuery using natural language prompts. We will discuss the challenge of accessing and analyzing SAP data - ETL, Complex Data Model, introduction to Generative AI and Large Language Models (LLMs), and Looker Explore Assistant and Chatbot This presentation will illustrate how SAP users can leverage Looker and Explore Assistant Chatbot to gain insights into their SAP ERP data residing on Google Cloud's BigQuery, using natural language prompts. We will address common challenges in accessing and analyzing SAP data, such as ETL processes and complex data models. Additionally, we will provide an introduction to Generative AI and Large Language Models (LLMs), as well as an overview of Looker Explore Assistant and Chatbot's capabilities.

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!

Learn how to write powerful, multi-turn AI prompts, and how our most capable AI model, Gemini, can help you do your best work. We’ll cover the advanced capabilities of Gemini for Google Workspace and share examples of effective prompts, whether you’re using apps like Gemini, Gmail, Docs, Sheets, Drive, Vids, or NotebookLM. We’ll cover how large language models (LLMs)  work and how outputs are based on the quality of an input. You’ll leave this session empowered to prompt like a pro. 

As GenAI grows more sophisticated, it's ever more important to ensure responsible AI. Learn how Priceline integrates guardrails to provide an additional layer of safety and control, effectively managing LLM outputs while maintaining ethical AI practices.

In this hands-on lab, you’ll build a practical Gmail add-on powered by Gemini and Vertex AI that performs sentiment analysis on your emails. Learn how to integrate powerful Natural Language Processing capabilities to automatically classify emails as positive, neutral, or negative. This tool will help you prioritize customer service responses, flag potentially sensitive messages, and streamline your email workflow for improved productivity.

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!

Achieve compliant collaboration with Google Workspace and Gemini for Google Workspace. This session explores how Google's suite of tools can help regulated customers meet their compliance needs with rigorous industry certifications (HIPAA, SOC, ISO). In addition, customers will share how using Workspace helps them to meet new executive orders and regulatory requirements to retain government and defense customers at a lower cost and with ease.

This talk explores practical strategies for creating effective AI agents. Drawing insights from recent research, this talk focuses on enhancing LLMs with tools, memory, and control mechanisms, transitioning from static workflows to dynamic, goal-driven systems. Learn how simplicity, thoughtful augmentation, and robust frameworks can lead to smarter, more reliable agents ready for real-world challenges.