See if you can make Gemini provide an unexpected response to an everyday prompt, or give it a strange scenario and see what happens. Input text and observe Gemini's responses.

In this mini course you will learn about different prompt design and engineering techniques commonly used in LLM-powered applications such as few-shot prompting and chain of thought reasoning. You will then apply these practices in a hands-on lab environment using the PaLM and Gemini Pro APIs.

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Python shines in RAG (Retrieval-Augmented Generation) systems due to its efficiency in orchestrating various processes and its extensive libraries, such as LangChain and Hugging Face Transformers. The building blocks for RAG include data extraction and preprocessing, transforming data into vectors via embedding models, and using vector databases for retrieval. Python excels in setting up data pipelines for indexing, retrieval, and generation, integrating different components, and ensuring low-latency, high-efficiency real-time processing. Real-world applications of RAG systems showcase Python's benefits and challenges in implementation, demonstrating its versatility and robustness in managing complex data flows and interactions.

Race against others in a brick building challenge while Gemini provides live commentary. Part competition, part AI improv show.

Google Workspace customers are switching to Google Chat and Google Meet, AI-first collaboration tools that seamlessly integrate with the Workspace apps you use every day. Learn how they migrated from costly point solutions to enhance collaboration, improve data security, reduce costs, and unlock new levels of team productivity with Gemini.

Achieve high-performance AI training and serving with Cloud Storage. Use Gemini Cloud Assist for object-level granular storage analysis with Storage Intelligence.

A playful take on retro gaming meets real-time data analytics and AI. Dive into an end-to-end architecture that ingests user interactions in various shapes and forms, and provides a tailor-made game experience to the end user using Gemini.

Roll and score with Gemini! Engage with Gemini 2.0’s real-time guidance and experience how AI can elevate your game. Learn how you can build your own AI agent system with Gemini and Google Cloud products.

Want to deploy generative AI across your organization but not sure how to keep your sensitive data secure and compliant? Join this session to hear from industry practitioners and Google experts about the best practices and lessons learned when embarking on this journey. We will demo how you can use built-in controls to identify sensitive data in your organization and restrict access to it and share insights, admin control recommendations, and lived customer experiences.

Discover how Google Workspace and Pixel with Gemini can help teams stay connected in the office or on the go. Manage your day with Calendar, have more productive meetings in Meet, stay on top of conversations in Chat, and connect on the go with Pixel 9.

Discover the power of gen AI in boosting developer productivity and innovation. Through in-depth demos, we'll showcase how to use gen AI to enhance developer productivity across the software development lifecycle. You’ll also learn how to easily build production-grade gen AI applications using Google Cloud technologies and your favorite ecosystem tooling. We’ll share the latest releases and features across many of your familiar developer products such as Gemini, Firebase, and more. Additionally, our customers will share their firsthand experiences using AI to accelerate time-to- market.

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.

Boost your productivity with Gemini Code Assist tools. This session demonstrates how to seamlessly integrate your daily tools – source code management, task management, Google Drive, and more – directly into your integrated development environment with Gemini Code Assist chat. Discover the latest Gemini Code Assist features and capabilities, learn best practices for integrating AI into your software development workflow, gain insights into modernizing legacy codebases, and learn how to improve code quality and accelerate development cycles.

Workshop on privacy-conscious telemetry for LLMs.

Unlock the full potential of your data with Google's autonomous data and AI platform. This session explores how we're bringing the power of AI directly to your data, integrating multimodal data handling, an innovative AI Query Engine, and Gemini agents to enable seamless data integration, automated workflows, complex reasoning, and real-time insights. Join us to explore the latest advancements in BigQuery and Looker and build a data and AI strategy that drives your business forward.

Quickly identify and troubleshoot applications with AI-powered insights using Gemini Cloud Assist.

Learn how to write powerful, multi-turn AI prompts, and how our most capable AI model, Gemini, can help you do your best work. We’ll cover the advanced capabilities of Gemini for Google Workspace and share examples of effective prompts, whether you’re using apps like Gemini, Gmail, Docs, Sheets, Drive, Vids, or NotebookLM.  We’ll cover how large language models (LLMs) work and how outputs are based on the quality of an input. You’ll leave this session empowered to prompt like a pro.

Learn how Gemini and NotebookLM can help teams quickly brainstorm, extract key insights, and turn information into action – so you can make better decisions, faster.

Reshape the future of how your teams work to better serve customers. Agentspace makes it simple to adopt powerful AI agents, and it makes finding the right information easy for employees and agents alike, by uniting Gemini’s advanced reasoning, Google-quality search, and your enterprise data, regardless of where it’s hosted.

A day in the life of a Google Cloud developer typically involves the use of multiple Google Cloud products and services. These products enable the developer to develop, test, deploy, and manage applications in the cloud. With assistance from Gemini, a developer can become more productive when using Google Cloud's products by using Gemini's interactive chat, code assistance, and embedded integrations. In this spotlight lab you will explore Gemini in an hands-on lab environment to see the different ways in which Gemini can be used in your development workflows.

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.

Turn a sketch or sentence into an AI-generated short film. Veo orchestrates dynamic camera moves, Imagen delivers high-definition visuals, and Gemini refines and edits in real time – bringing your imagination to the big screen.