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.

DevEx 2.0 means giving developers guardrails that accelerate delivery instead of slowing it. This session shows how continuous security integrates with Azure and GitHub pipelines. You’ll see IDE coaching and SAST at commit. With Microsoft Copilot and Azure OpenAI using GPT-5, developers can cut through false positives and receive actionable fixes directly in the code. Builds include SBOM generation, container scans, and dependency checks. Staging environments add DAST and API testing.

Step into Etsy’s "Museum of Extraordinary Objects" where Gemini on Vertex AI curates 100M+ unique goods from makers around the world. Discover how Google AI connects Etsy's extraordinary items with the right buyers—transforming the art of finding what you love, faster.

In this hands-on lab, you'll explore data with BigQuery's intuitive table explorer and data insight features, enabling you to gain valuable insights without writing SQL queries from scratch. Learn how to generate key insights from order item data, query location tables, and interact with your data seamlessly. By the end, you’ll be equipped to navigate complex datasets and uncover actionable insights quickly and efficiently.

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!

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.

LLMs have taken the world by storm over the past few months. But there's often a common perception that building an LLM model yourself is prohibitively challenging and expensive. In this talk I will show you how you can use state of the art Open Source foundation models and fine tune those models simply and cheaply to build something bespoke on your data. At Databricks we believe in selecting the right model for the right use-case, and with Dolly we demonstrated how fine-tuning on a bespoke dataset can provide instruction-following capability.

AI is reshaping NetOps from scripted automation to intelligent, data driven workflows. We will show uses: incident triage, knowledge retrieval, traffic analysis, prediction, and contrast legacy monitoring with ML, NLP, and LLMs. See how RAG, text to SQL, and agent workflows enable real time insights across hybrid data. We will outline data pipelines and MLOps, address accuracy, reliability, cost, compliance, and weigh build vs buy. We will cover API integration and human in the loop guardrails.

Experience the transformation. Learn how Gemini for Google Cloud uses AI to effortlessly manage Google Cloud. Get help with design, deployment, troubleshooting, and optimization directly within Google Cloud Console. Accelerate complex tasks, boost productivity, and stay focused on core business value. Gemini for Google Cloud offers goal-driven design, guided operations, and tailored optimizations, all with enterprise-grade security and privacy.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

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.

A reference implementation for analyzing geospatial data with generative AI. Combine Google’s unique ML models with your own data and Gemini’s reasoning capabilities to unlock powerful insights for crisis response, public health, climate resilience, and more.

Unleash the power of Gemini with Vertex AI Studio. This hands-on lab guides you through using Gemini for image analysis, prompt engineering, and conversational AI, all within a user-friendly interface. Learn to design prompts and generate content directly from the Google Cloud console.

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!

Unlock business potential with the power of easy-to-use Google AI in this immersive escape room adventure. Discover how Google Workspace with Gemini and AI-powered platforms and devices like ChromeOS, Chrome Enterprise, and Pixel can revolutionize your workflows and help your team tackle its biggest challenges from anywhere.

See how Gemini enables smarter meetings in Google Meet by automatically capturing notes and action items, translating captions in 65+ languages, and ensuring everyone looks and sounds their best on any device.

This demo showcases Finout’s ability to manage and optimize cloud spend across Azure and services like Kubernetes, Datadog, and OpenAI. It highlights Finout’s unified “MegaBill” view for exploring Azure resources, subscriptions, and tags. The session introduces Virtual Tags for dynamic, rules-based cost allocation and covers shared cost distribution, dashboards, anomaly detection, and alerting—empowering teams to improve Azure cost efficiency.

Working with the agility and flexibility of a digital native or a big tech innovator can feel like an impossible mountain to climb for traditional enterprises. But empowering your teams with the right tools, like generative AI, can make this vision a reality. Join this session to learn how your organization can adopt a more collaborative mindset and begin to identify your road map to embracing generative AI. Hear from two customers who have embarked on their journey of a new way to work and glean insights from their lessons learned in adopting Gemini AI in Google Workspace.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

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.

In this mini course, you will explore the use of Gemini, PaLM, and other generative AI models using Vertex AI Studio. You will learn how to design and tune prompts to ensure the best outputs for your applications and discuss other services in Vertex AI Studio to improve output quality.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Build cloud solutions faster and smarter with Prompt Design in Vertex AI. Work your way towards earning a Google Cloud skill badge while being introduced to GenAI, powered by Google's advanced Gemini AI. Your session will include a presentation and hands-on practice with the learning labs included in this Skill Badge, followed by an overview of the requirements that will be evaluated to earn this credential. The challenge lab, to be completed after the session, takes the learner on a journey of crafting effective prompts, applying Gemini models to create new product descriptions in a real-world marketing scenario, and running, testing and modifying generative AI code using Jupyter Notebooks. Experience the future of cloud development today!

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

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!