Are you ready to get hands-on with Google Cloud’s AI tools? In this 2 hour gHack, you will work in teams of 4. Together you will build a Formula E Race Analysis System from scratch using a variety of our AI and Data tools. Teams will work together to build the solution by searching, learning and collaborating together to find the answers needed. 3-2-1 lights out and away we go!

Test your incident response skills in the Security Tabletop Workshop, an exercise that simulates a realistic cyberattack to assess and improve an organization’s security posture. Tabletop exercises are a critical component of any cybersecurity strategy, helping your team reduce the impact of cyberattacks, evaluate response strategies, address gaps, foster collaboration, and clarify roles during a crisis.

In an era where Agentic AI dominates headlines, business leaders need clarity on its transformative potential beyond the hype. This session cuts through the buzz to showcase how enterprises are leveraging AI agents to revolutionize operations, from customer service to IT operations. Through real-world examples and proven frameworks, learn how to identify immediate opportunities, implement strategic solutions, and build a roadmap for long-term success. Leave with actionable insights to transform your organization from AI-aware to AI-driven.

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.

Analyze BigQuery logs with SQL using Log Analytics. This hands-on lab covers enabling Log Analytics, querying BigQuery logs within Cloud Logging, and visualizing results for in-depth usage analysis and troubleshooting.

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!

Looker is evolving! Join us for a deep dive into the reimagined Looker experience, where data exploration, analysis, and reporting are more intuitive, collaborative, and powerful than ever before. In this session, we’ll explore how Studio in Looker combines the flexibility of Looker Studio visualizations and reporting with the governance and trustworthiness of the Looker semantic layer.

Routine tasks such as data wrangling and pipeline maintenance often inhibit data teams from doing higher-value analysis and insights-led decision-making. This session showcases how intelligent data agents in BigQuery can help automate complex data engineering tasks. You’ll learn how to use natural language prompts to streamline data engineering tasks from ingestion and transformation, such as data cleaning, formatting, and loading results into BigQuery tables that accelerate the time to build and validate data pipelines.

Leverage the flexibility of Cloud Run and its ease of use for your Apache Kafka workloads. In this session, we’ll introduce Cloud Run worker pools, a new resource specifically designed for non-request-based workloads, like Kafka consumers. Learn how worker pools, along with a self-hosted Kafka autoscaler, can enable fast and flexible scaling of your Kafka consumers by using Kafka queue metrics.

Go 1.24 unlocks the power of WebAssembly (Wasm) with new tooling for building high-performance edge applications. In this session, we’ll show you how to leverage the speed, security, and portability of Go to create low-latency Wasm modules that run on Google Cloud’s Service Extensions. We’ll also show you how Shopify uses Go and Service Extensions to move more application logic to the edge to reliably serve millions of customers.

Discover the cutting edge of foundation model development with JAX on Google Cloud. This session will showcase the latest advancements in the JAX ecosystem, including optimized performance on TPUs and GPUs. Explore new, high-performance models powered by MaxText and MaxDiffusion, delve into enhanced JAX libraries and Stable Stack packages, and learn about advanced diagnostics tools. Gain insights into how leading customers and partners are leveraging JAX on Google Cloud to build and deploy next-generation foundation models at scale.

Grow your business and help customers build a greener future with AI. The Google Cloud Ready Sustainability program empowers partners with the tools and resources to deliver sustainable AI solutions. Learn how to leverage AI-optimized infrastructure, measure and optimize energy consumption, and reduce your carbon footprint, while helping your customers do the same.

Time to make generative AI a reality for your application. This session is all about how to build high-performance gen AI applications fast with Cloud SQL for MySQL and PostgreSQL. Learn about Google Cloud’s innovative full-stack solutions that make gen AI app development, deployment, and operations simple and easy – even when deploying high-performance, production-grade applications. We’ll highlight best practices for getting started with Vertex AI, Cloud Run, Google Kubernetes Engine, and Cloud SQL, so that you can focus on gen AI application development from the get-go.

Migrations can feel daunting, especially for small teams. This session offers practical tips, tools, and strategies to plan and execute migrations efficiently, minimizing downtime and maximizing your existing resources. You’ll view a live demo of Google’s migration tools and learn from TRIARQ Health about how they successfully navigated their own migration to Google Cloud.

Struggling with multicloud networking complexity? Equinix and Uber reveal the critical network architecture strategies to overcome today’s challenges. Discover proven adoption tactics and essential multicloud networking capabilities for seamless, cost-effective multicloud success. Learn how Uber, leveraging Equinix’s interconnected global data centers and Network-as-a-Service platform, achieved rapid, flexible, and efficient data migration to Google Cloud. Don’t let network limitations hold back your multicloud potential.

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.

Dive deep into the world of multimodal analytics with BigQuery. This session explores how to unlock insights from all data types in BigQuery using embeddings generation and vector search. We’ll demonstrate how BigQuery object tables combine text, documents, and images to unlock popular use cases like recommendation engines and retrieval-augmentation generation (RAG). Learn how to leverage BigQuery as a knowledge base to ground your cutting-edge AI application with your own enterprise data.

There are cases when you can’t use Google Cloud services but still want to get all benefits of AlloyDB integration with AI and serve a local model directly to the database. In such cases, AlloyDB Omni deployed in a Kubernetes cluster can be great solution, serving for edge cases and keeping all communications between database and AI model local.

Cloud environments can have hundreds or thousands of potential security issues. But which ones create the most risk? Security Command Center uses powerful virtual red team technology and a new security graph to continuously analyze your cloud resource configurations, software vulnerabilities, and identity and access policies – running at machine scale – to pinpoint the issues that could put your cloud workloads at risk.

This session shows how engineers can use Gemini Cloud Assist and Gemini Code Assist to speed up the software development life cycle (SDLC) and improve service quality. You’ll learn how to shorten release cycles; improve delivery quality with best practices and generated code, including tests and infrastructure as code (IaC); and gain end-to-end visibility into service setup, consumption, cost, and observability. In a live demo, we’ll showcase the integrated flow and highlight code generation with GitLab and Jira integration. And we’ll show how Gemini Cloud Assist provides deeper service-quality insights.

Session will cover Google Cloud solution to transform Pharma Tech transfer function. Session would cover how Agentspace, Vertex AI and Notebook LM can help Pharma Industry solve billion dollars problem. Google Cloud’s solution focuses on Improved Knowledge Management & search and enhanced collaboration and communication.

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.

Maximize your Gen AI inference performance on GKE. This session dives into the latest Kubernetes and GKE advancements, revealing how to achieve significant cost savings, reduced latency, and increased throughput. Discover new inference features on GKE for optimizing load balancing, scaling, accelerator selection, and overall usability. Plus, hear directly from Snap Inc. about their journey re-architecting their inference platform for the demands of Gen AI.

This session provides an in-depth look at the Google infrastructure that powers our most demanding AI workloads. We’ll explore the journey from custom silicon, high-bandwidth networking and storage to the software frameworks that enable efficient, large-scale training and inference with industry-leading goodput and uptime across the largest GPUs and TPU clusters. Learn how Google’s unique approach to system design and deployment enables customers to effortlessly achieve Google-level performance and scale for their own applications.

Unlock AI's transformative potential with adaptive strategies for leveraging AI Agents and platform-thinking. From identifying high-impact use cases to rapid, trusted deployment, we'll cover value modeling, Trusted AI deployment, agent orchestration, and productionizing in an uncertain landscape. Explore real-world implementations, from enhancing customer experiences to streamlining workflows, and measure success quickly. Discover how steering, worker, conversational, transactional, and multimodal agents drive tangible business value.

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.

Gemini 2.0 Flash Thinking unlocks a critical new reasoning step in the model execution process that is needed to continue hill climbing on the most difficult problems. Join Jack Rae for a deep dive on our latest thinking models, how to use them to their full capability as a developer, interesting use cases to explore with reasoning, and where we are going next with reasoning.

Get the most out of your Google Cloud budget. This session covers cost-optimization strategies for Compute Engine and beyond, including Cloud Run, Vertex AI, and Autopilot in Google Kubernetes Engine. Learn how to effectively manage your capacity reservations and leverage consumption models like Spot VMs, Dynamic Workload Scheduler, and committed use discounts (CUDs) to achieve the optimum levels of capacity availability for your workloads while optimizing your cost.

Join Google Cloud and Quantiphi for a workshop on how to build and deploy powerful conversational AI agents using the Customer Engagement Suite with Google AI. Learn best practices and leave with actionable strategies to improve your customer experience.

This session demonstrates how to integrate Gemini Code Assist into your development workflow to boost productivity and code quality. Learn specific techniques for using Gemini Code Assist and actionable strategies to incorporate it into your daily practice.