AI application growth brings security challenges, especially in multi-tenant environments. This talk explores access control issues in agentic workflows, using Google's Reasoning Engine. We'll cover limitations of current methods, user/agent identity interplay, data isolation, and secure delegation to LLMs. Future solutions include fine-grained access control and secure identity propagation. Learn to design secure, scalable AI workflows.

Experience a new way to interact with LLM-powered agents! With Gemini 2.0 and Multimodal Live API, users can give audible instructions and show visual content from a camera or screen, while receiving spoken responses from the model. This enables more natural, timely communication and unlocks multimodal agent workflows. This session showcases how existing agent experiences can be adapted for voice and visual cues, and explores new possibilities with this technology.

Building a GenAI chatbot for millions of users? This session reveals the secret sauce: best practices in LLM orchestration, advanced agentic patterns, and grounded responses, all while prioritizing brand safety. Learn key architectural decisions for balancing latency and quality, and discover strategies for scaling to production.

This hands-on lab introduces Gemini 2.0 Flash, the powerful new multimodal AI model from Google DeepMind, available through the Gemini API in Vertex AI. You'll explore its significantly improved speed, performance, and quality while learning to leverage its capabilities for tasks like text and code generation, multimodal data processing, and function calling. The lab also covers advanced features such as asynchronous methods, system instructions, controlled generation, safety settings, grounding with Google Search, and token counting.

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!

Build a multimodal search engine with Gemini and Vertex AI. This hands-on lab demonstrates Retrieval Augmented Generation (RAG) to query documents containing text and images. Learn to extract metadata, generate embeddings, and search using text or image 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!

Discover how leading manufacturing companies are leveraging AI to transform employee experience and drive productivity with AI-enabled workflows and assistants. Learn about the evolution of these tools, the positive user feedback they received, and further possibilities around image and code generation. This session will provide a compelling look at how AI can revolutionize large enterprises, with practical insights into implementation and future possibilities.

Generative AI is transforming every role in your organization. In this panel, Google and AI platform leaders Salesforce and Atlassian will share how Gemini for Google Workspace and partner integrations can transform how your organization works. And Wayfair will share how they’re using Gemini and Salesforce to drive their business. Discover how Workspace empowers the future of work with Gemini integrated into how every role gets work done, boosting productivity and unlocking growth.

Unleash the power of AI-driven analytics with Gemini and BigQuery. Learn how to uncover trends, automate complex queries, and make smarter decisions. Explore real-world examples from industry leaders using AI to extract insights from unstructured data like text, images, and audio to streamline operations and unlock growth.

Struggling to monitor the performance and health of your large language model (LLM) deployments on Google Kubernetes Engine (GKE)? This session unveils how the Google Cloud Observability suite provides a comprehensive solution for monitoring leading AI model servers like Ray, NVIDIA Triton, vLLM, TGI, and others. Learn how our one-click setup automatically configures dashboards, alerts, and critical metrics – including GPU and TPU utilization, latency, throughput, and error analysis – to enable faster troubleshooting and optimized performance. Discover how to gain complete visibility into your LLM infrastructure.

Join us to learn how Avery Dennison and Mercer International are transforming their workflows with Google Workspace with Gemini. They'll share their journeys, including evaluation criteria, roll-out strategies, and the impact of generative AI on productivity and employee satisfaction. Gain valuable insights into successful AI adoption and learn how to leverage these powerful tools within your own organization.

Whilst GenAI has brought conversational experiences to the forefront, the next generation of web interfaces will demand more than just chat interactions. Instead, delivering highly personalized experiences requires a powerful blend of search, dynamic multimodal visual elements, and conversational interactions. In this session, discover how Valtech, the experience innovation company, is leveraging Vertex AI Agent Builder and Gemini with React to redefine experiences on the web.

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.

Is your team ready for the future of cloud? Discover how Google Cloud is equipping partners with the cutting-edge expertise needed to capitalize on the rapidly evolving generative AI landscape. You’ll learn about these transformative programs, learning paths, as well as targeted journeys for Vertex AI, generative AI Agent Builder, Gemini, and Customer Engagement Suite. Whether your just starting your gen AI journey, or are ready to tackle advanced implementations, we have just the training for you.

Join us to learn how Globe Telecom and Banesco USA are transforming their workflows with Google Workspace with Gemini. They'll share their journeys, including evaluation criteria, roll-out strategies, and the impact of generative AI on productivity and employee satisfaction. Gain valuable insights into successful AI adoption and learn how to leverage these powerful tools within your own organization.

An architecture for a robust custom AI chatbot backed by Vertex AI with Gemini and fully managed GCP services. Cloud-Based: Scalable platform will ensure high availability and performance. Reduced Development Time: Significantly reduce the time and effort required to build and deploy custom AI chatbots. Scalability and Performance: Ensure that the chatbots can handle high volumes of traffic and maintain optimal performance. 

The solution democratizes the development of AI chatbots, making them accessible to wider enterprises and various domains."

Using Google AI stack, Tech Mahindra has developed AgentX program and has built reliable AI Agents to deliver industry best ROI. Our "Aether" architecture combines Gemini models with industry orchestration and integration approaches that work in real enterprise settings. We will walk through how we've tackled the tough problems - keeping agents reliable, managing knowledge effectively, and controlling those frustrating hallucinations in complex workflows, resulting in boosting productivity and improving experiences across the board.

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.

As brands drive towards personalization and global outreach, it puts immense pressure on marketing operations. Learn how Publicis Sapient is leveraging Google Cloud’s Gen AI technologies to optimize our clients’ marketing operations and deliver growth through hyper personalization and efficient content creation. We will share a demo of how Retailers and Consumer Products companies can manage their full marketing ecosystem using Google Gen AI stack, including Gemini, Imagen and Vertex AI.

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.

Want to control the output of your AI agents? This session explores essential Agent Ops practices, including metrics-driven development, large language model (LLM) evaluation with retrieval-augmented generation (RAG) and function calling, debugging with Cloud Trace, and learning from human feedback. Learn how to optimize agent performance and drive better business outcomes.

Join us to learn how Ocado Retail and Rentokil Initial are transforming their workflows with Gemini in Google Workspace. They'll share their journeys, including evaluation criteria, rollout strategies, and the impact of generative AI on productivity and employee satisfaction. Gain valuable insights into successful AI adoption and learn how to leverage these powerful tools within your own organization.are transforming their workflows with Google Workspace with Gemini. They'll share their journeys, including evaluation criteria, roll-out strategies, and the impact of generative AI on productivity and employee satisfaction. Gain valuable insights into successful AI adoption and learn how to leverage these powerful tools within your own organization.

Gemini 2.0, the latest foundational model released by Google DeepMind, offers improved performance, real-time interactions support, text-to-image and text-to-audio generations, Google Search grounding, and reasoning – all under a unified SDK that allows you to flawlessly navigate from the Gemini API to Vertex AI. In this talk, you’ll learn about the newest Gemini 2.0 capabilities, how to accelerate your prototyping, and guidelines to deploy your solutions from a single API to more complex pipelines.

This talk provides an in-depth look at the core principles for developing effective and dependable Generative AI (GenAI) agents. We will begin by exploring fundamental LLM Ops best practices, such as caching and latency-aware design. We will then delve into techniques for optimizing agent performance, including reranking, session management, and advanced prompt engineering. Additionally, the session will cover critical aspects of GenAI development like Reinforcement Learning from Human Feedback (RLHF), Supervised Fine-tuning (SFT), and robust evaluation methods. Attendees will leave with a comprehensive understanding of the architectural considerations essential for constructing high-performing and reliable GenAI agents.