Dive into Firebase Genkit, an open-source framework for building production-ready AI applications. This hands-on lab guides you through creating a Genkit project using the Gemini Flash foundation model. You'll learn to define flows and prompts, leverage the Genkit developer user interface, and gain insights from flow and prompt traces. Experience the power of Genkit to build innovative AI applications with ease.

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!

Multimodal AI is transforming how users interact with applications. Join us for an exploration of how to build secure, scalable, and intelligent multiplatform and multimodal AI apps using Flutter, Firebase, and Gemini. Leveraging Gemini's advanced multimodal understanding, we'll deconstruct the architecture of a cutting-edge app, demonstrating how to seamlessly integrate voice, image, and text interactions into your web and mobile experiences using a single codebase. This deep dive into architecture and code, along with Q&A, will empower you to create engaging user experiences powered by the latest advancements in AI, backed by Google Cloud.

Learn how Equifax is driving productivity gains by adopting Gemini & Google Workspace. We’ll cover their strategic migration from Microsoft to Workspace, which set the foundation for seamless generative AI. This session highlights their Gemini pilot for 1,000 users, focusing on practical strategies for change management & maximizing user adoption. We’ll share how Equifax empowered employees with prompt engineering & tailored use case training, offering a replicable model for organizations.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Always wanted to get started with open source LLMs? Meta's Llama models are among the most popular and best performing in the world – and you can find them in Vertex Model Garden. In this session, we'll cover everything you need to know about working with Llama models on Vertex, from prompting best practices to choosing the best deployment method for your use case. With practical demos and real-world examples, discover how Llama can power your startup.

**Please bring your laptop to get the most out of this hands-on session**

In the ongoing battle against cyberthreats, AI can unlock new levels of efficiency, accuracy, and proactive defense. In this session, a Google Security Operations customer will delve into practical use cases where AI is already delivering tangible benefits to security teams. We’ll also introduce new capabilities designed to automatically triage and analyze alerts. Join us to learn how you can put Gemini to work to enable more precise threat detection and faster incident response in your environment.

Build modern applications with the power of Oracle Database 23ai, and Google Cloud's Vertex AI and Gemini Foundation models. Learn key strategies to integrate Google Cloud’s native development tools and services, including Kubernetes, Cloud Run, and BigQuery, with Oracle Database 23ai and Autonomous Database, seamlessly into modern application architectures. Cloud architects, Developers, or DB Administrators will gain actionable insight, best practices, and real-world examples to enhance performance and accelerate innovation with ODB@GC.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Building AI solutions on Google Cloud? This session demystifies our AI infrastructure stack, from pretrained models like Gemini to the Vertex AI managed platform, and all the way down to DIY container runtimes and virtual machines (VMs). Learn how to choose the right level of abstraction for your AI and machine learning (ML) workloads, and leverage the full power of Google Cloud’s AI ecosystem.

KPMG LLP is driving the AI-powered trend of software disintermediation using Google Vertex AI and Gemini. Together with a leading commercial banking system, KPMG developed an AI Advisor and Agent that interacts directly with the system of record, eliminating the need for employees to navigate complex screen chains. The concept, applicable across industries, can significantly reduce direct fees and employee costs. Join us to explore the implications of a future where AI Agents streamline system interactions and enhance operational efficiency.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

We will delve into the practical applications of AI-assisted coding within a large organization, highlighting the specific ways Ulta Beauty's developers are utilizing Gemini Code Assist to streamline workflows. Understand how Ulta successfully gained buy-in from both management and engineering teams by demonstrating the tool's value and addressing potential concerns. Learn about Ulta's thoughtful approach to integrating new AI technologies while prioritizing security, responsible usage, and alignment with existing development processes. 

Discover how Renault transformed automotive software development (SDV) with Google Cloud. By replacing physical prototypes with Android-based virtualization, they accelerated their SDV life cycle and moved to a cloud-first, iterative approach. Learn how they leverage Cloud Workstations, Gemini Code Assist, and a continuous integration and continuous testing (CI/CT) pipeline powered by Google Kubernetes Engine and GitLab to boost developer productivity and bring new features to market faster.

Imagine a world where interacting with your data is as simple as chatting with a friend. Gemini in Looker makes this a reality, bringing the power of Google's most advanced AI models and agents directly to your BI workflows. This session explores how Gemini's genAI capabilities and Looker Agents are being integrated into Looker, empowering users to analyze data, build dashboards, and generate insights using natural language. Discover how this powerful combination unlocks new levels of productivity for BI professionals and business users alike.

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.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

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!