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!

Discover how Snap and Google Cloud are redefining AI-powered engagement through cross-team collaboration with Google. This session will teach you how Snapchat leverages Google to enable their growth and platform advancement.  Gain insights into Snap’s holistic journey, the impact of a tailored Google approach and engagement model, and strategies for startups to integrate Google’s solutions to enable the growth of your platform.

Take part in the new SOC Experience – a view into real-world attack scenarios. Learn about the latest hacker tactics and how Google equips cybersecurity teams with the data, AI, and scalable analytics to detect and remediate attacks.

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!

This session explores building sensitive data protection directly into Retrieval-Augmented Generation (RAG) architectures. We'll demonstrate how to leverage Cloud Data Loss Prevention (Cloud DLP) and the Faker Library to anonymize sensitive data within the RAG pipeline. The session will cover techniques for reversible transformations using Memorystore and Firestore for data mapping, and discuss integrating these methods with Large Language Models (LLMs) like Gemini via LangChain and Vertex AI Search. Learn how to create secure and compliant AI solutions that protect sensitive data and adhere to regulations like the EU AI Act.

What if building an AI agent that thinks, reasons, and acts autonomously took less time than your coffee break? With Vertex AI, it’s not just possible. It’s easy. Join DoiT to see how to build, deploy, and scale a production-ready AI agent in 10 minutes using Google’s top services: Gemini 2 for language understanding, the RAG Engine for fetching information, and the Agent Engine for orchestration. To top it off, watch a live demo take an agent from concept to production-ready in real time.

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 into end-to-end Machine Learning Operations (MLOps) with Vertex AI. Discover how to integrate data, models, and workflows to build scalable, reliable ML pipelines. Learn how Vertex AI automates key ML lifecycle stages like training, hyperparameter tuning, deployment, and monitoring. Whether you're starting out or optimizing workflows, this session covers best practices and real-world use cases to transform your approach to AI development. Perfect for data scientists and ML engineers!

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!

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.

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.

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.

Simplify blockchain development with generative AI on Google Cloud. In this interactive session, you’ll learn how Gemini AI helps generate queries for BigQuery blockchain datasets and analyzes real-time blockchain data. See how Blockscope is using Gemini to conduct forensic analysis of blockchain data. Live demos will show you how to supercharge your Web3 projects, whether you're a blockchain veteran or just starting out.

In this hands-on lab, you'll explore the power of BigQuery Machine Learning with remote models like Gemini Pro to analyze customer reviews. Learn to extract keywords, assess sentiment, and generate insightful reports using SQL queries. Discover how to integrate Gemini Pro Vision to summarize and extract keywords from review images. By the end, you’ll gain skills in setting up Cloud resources, creating datasets, and prompting Gemini models to drive actionable insights and automated responses to customer feedback.

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!

Despite the robustness of a retailer's order management system, external factors can disrupt both employee and customer experiences. Cognizant tackled the Must-Arrive-By-Date (MABD) challenge, crucial for ensuring timely shipments. Their OMS Gen AI solution features an intelligent assistant that predicts PO delays and recommends actions to guarantee on-time arrivals. This innovation delights store associates and customers alike, ensuring shelves remain stocked even under extreme weather conditions.

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.

Need precise data extraction from your documents?  This hands-on lab teaches you to build custom document extractors with Document AI Workbench. Learn to create, train, and evaluate a model tailored to your specific document types and achieve higher processing accuracy.

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!

Gemini 2.0 represents a significant leap forward in image understanding. Its object detection capabilities are dramatically faster than anything before, enabling near-instantaneous identification of visual elements. Combined with Gemini's advanced reasoning and access to external tools, this speed unlocks a vast range of new applications and possibilities, from rapid image search to complex visual problem-solving. Critically, Gemini 2.0 also possesses an experimental capacity for 3D scene understanding, allowing it to interpret spatial relationships and depth unlocking a wealth of new possibilities across diverse domains.

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!

Definity and Quantiphi share the transformative journey of AI-driven Mainframe Modernization. By building a future-proof platform on Google Cloud for their legacy infrastructure and using Quantiphi’s GenAI-based developer productivity accelerator called 'Codeaira', Definity is unlocking a new wave of innovation in the insurance industry.  This session will address the value of AI-driven digital transformation in tackling the insurance sector's business and technical challenges while improving efficiency, customer engagement, and analytics.

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.