Everyone has parts of the software development process they find tedious or toilsome. With Gemini Code Assist agents, we can reduce that toil and boost your productivity by intelligently assisting you throughout the entire SDLC. By walking through an example with our unique, agent-driven approach to building and querying code documentation in the newly launched Firebase Studio, we’ll show you how AI agents can accelerate your development and allow you to focus on what you truly enjoy: coding.

This hands-on lab equips you with the practical skills to build and deploy a real-world AI-powered chat application leveraging the Gemini LLM APIs. You'll learn to containerize your application using Cloud Build, deploy it seamlessly to Cloud Run, and explore how to interact with the Gemini LLM to generate insightful responses. This hands-on experience will provide you with a solid foundation for developing engaging and interactive conversational 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!

This session dives into how Google Workspace's AI-powered features can set you apart, drive customer success, and boost your bottom line. We'll explore how these innovative tools attract and retain customers, and how successful Gemini and Workspace deployments translate into service profitability. Discover the resources available to support your Workspace AI practice and walk away with actionable insights to elevate your customer experience and maximize revenue.

Scaling infrastructure for your AI-powered startup? Learn practical strategies for generative AI and large language models (LLMs). Gain expert insights on architecture, deployment models, and how to build robust, scalable systems to fuel your innovation.

Introducing Google’s next-generation global network that powers Google Cloud and our multibillion user apps like Search, YouTube, Google Maps, and more. Learn about the groundbreaking technologies and the design principles of "exponential scalability,” “beyond-NINEs reliability,” “fine-grained programmability”, and “from automation to autonomy” that have guided our next-generation architecture. Discover how you can leverage these innovations to transform your enterprise connectivity and respond to the dramatic demands of AI–powered services.

Accelerate your code review process and increase software quality with Gemini Code Assist in GitHub. This session demonstrates how the power of Gemini can now be integrated into GitHub, bringing a code review agent directly to your pull requests that can provide pull request summarization and code improvement suggestions. Plus, you’ll learn how to customize these Gemini-powered reviews to focus on best practices that are specific to your team and repository.

This talk will explore the vision and architecture of our ChaosLLaMa prototype through a demo. The prototype integrates various Google Cloud components, such as Asset inventory and VPC flow logs, and uses Gemini along with an agentic framework to enable customers to identify and address weaknesses in their Google Cloud applications. This is especially useful for enterprise customers modernizing from an on-prem infrastructure to Google Cloud, as it helps them build more robust applications.

Generative AI is transforming the fashion industry! We explore how to use Google’s cutting edge tools: Imagen 3, multimodal Gemini, and BigQuery to enhance our creativity throughout the design process. From design inspiration, fabric print design, garment design, to branding. We discuss how developers can rapidly prototype and bring AI-powered visions to life with Google Cloud Vertex AI. Whether you are a developer, a designer or an industry leader, you will find valuable insights on how to integrate generative AI into your creative workflow.

Unlock the power of code execution with Gemini 2.0 Flash! This hands-on lab demonstrates how to generate and run Python code directly within the Gemini API. Learn to use this capability for tasks like solving equations, processing text, and building code-driven 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!

Discover how to transform your unstructured data into a strategic advantage by embedding GenAI into the core of your business operations. In this live demo from Hyperscience and Google, learn how to convert your back office information assets into LLM and RAG-ready data, with unprecedented accuracy, governance, and relevance. Combining the Hyperscience enterprise AI platform with Google Vertex and Big Query, organizations can now power GenAI initiatives that deliver smarter decision making, operational agility, and competitive advantage.

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.

Delve into Wayfair's integration of Google's generative AI solutions to revolutionize their e-commerce platform and enhance employee collaboration. Discover how Wayfair leveraged Google Cloud's Gemini models on Vertex AI to automate and improve their product catalog enrichment for faster time-to-market, cost savings, better customer experience and responsible content management. Learn how Wayfair implemented Gemini for Google Workspace to boost employee productivity and collaboration to foster a more efficient and creative work environment.

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.

Witness the magical intersection of classical music and AI in this unique session featuring live violin performance. Experience how Vertex AI and Gemini transform musical emotions into insights through real-time audio processing and mood detection. Through live demonstrations, discover how to implement AI for content understanding and automated analysis. See how Google Cloud's AI tools open new possibilities in creative industries. Perfect for developers and ML engineers interested in audio 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!

Discover how to drive innovation within your organization using Google's Gemini. This session showcases Accenture's "Gemini for Good" hackathon, where teams rapidly prototyped solutions like effective hiring and accessible platforms. Learn how to replicate this model and inspire your own teams.

Innovating with AI and achieving digital sovereignty are not mutually exclusive. Google Workspace with Gemini is uniquely equipped to help customers leverage AI tools whilst keeping their IP private, meeting regulatory requirements and maintaining resilience against current and future attack vectors. Discover customer strategies for navigating the complexities of digital sovereignty and unlock the full potential of your organization.

Lean teams often struggle to manage the overwhelming volume of unstructured content. This session explores how Gemini, Google’s cutting-edge AI, can help you easily structure and analyze this data. Learn how Box AI is utilizing Gemini with their customer solutions, and examine a real-world use case from Fundwell. Get insights on how to automate data extraction, enhance customer interactions, streamline operations, and gain a significant competitive edge. Discover how AI can empower your team to unlock the true value within your data.

It’s never a dull day in the world of models. Join us in this session to learn about the latest advancements in Gemini 2.5. We’ll explore its breakthrough capabilities and performance, and the new use cases enabled by our flagship model.

Join this Cloud Talk to explore how Large Language Models (LLMs) can revolutionize your data workflows. Learn to automate SQL query generation and stream results into Confluent using Vertex AI for real-time analytics and decision-making. Dive into integrating advanced AI into data pipelines, simplifying SQL creation, enhancing workflows, and leveraging Vertex AI for scalable machine learning. Discover how to optimize your data infrastructure and drive insights with Confluent’s Data Streaming Platform and cutting-edge AI technology.

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.

App life cycles with Google Cloud databases and runtimes have gotten smarter. This session takes you through the life cycle of building and optimizing scalable, high-performance generative AI apps. We’ll use Google’s latest natural language and vector search technologies to build the “art of the possible” for AI-powered software. We’ll also cover various app design patterns using Gemini Code Assist, foundation models, agentic retrieval-augmented generation (RAG), and orchestration frameworks, and show you how it all comes together in a live demo.

The world of data security and privacy is changing. Quantum computing threatens traditional encryption, but you can stay ahead. Learn how to protect your AI and machine learning (ML) models and your sensitive data with cutting-edge techniques and tools like Gemini. This session covers end-to-end privacy, confidential computing with Google Cloud, navigating the post-quantum cryptography (PQC) landscape, the challenges and opportunities of PQC, and how Google Cloud is preparing you for the future.

Join fellow Google Kubernetes Engine and ML engineers to share experiences building scalable, flexible, and resource-efficient machine learning platforms on GKE. Let's discuss strategies to best leverage GKE's features for serving open LLM models and orchestrating TPU/GPU’s at scale. Come prepared to share, ask questions, connect with others, and help each other succeed with GKE for ML.

Google Workspace is essential to getting work done but many don’t realize they can extend Google Docs, Sheets, and Slides with Apps Script. This lightning talk will show how to get more out of Workspace with Apps Script and take it even further with Gemini. Master automation by generating code snippets, automating tedious tasks, all using AI to handle the busywork so focus stays on what truly matters. Whether beginning your journey or refining your skills, you will train in the ways of AI-driven automation and take your workflow to hyperspeed.

Launching LLM-powered products is transformative but requires strategic execution. This session shares lessons from embedding AI solutions (built with Gemini on Google Cloud) into real use cases. Learn how we avoided pitfalls, tackled automation myths, and delivered real value. Gain insights on identifying high-impact AI opportunities, validating solutions, and iterating for successful product launches.

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.

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!

Learn how generative AI can enhance data workflows and analysis. This session demonstrates how to access and use Gen AI models in BigQuery, including new features like open source model support and structured output from Gemini. Accelerate your data analysis with the latest AI innovations available directly in BigQuery.