Teams define their problem statement and build core agent workflows; Mentors available for architecture and framework support.

Introduction to Google AI Developer Kit (ADK) and Gemini models; Setting up the environment and connecting to Google AI Studio APIs; Example: Deploying an agent using ADK tools for retrieval and tool integration; Optional track for participants interested in Google’s ecosystem; Mentors assist others starting on different frameworks (e.g., LangChain or CrewAI)

Introduction to Google AI Developer Kit (ADK) and Gemini models; Setting up the environment and connecting to Google AI Studio APIs; Example: Deploying an agent using ADK tools for retrieval and tool integration; Optional track for participants interested in Google's ecosystem; Mentors assist others starting on different frameworks (e.g., LangChain or CrewAI)

Building a price comparison platform requires solving multiple ML challenges at scale. This talk covers a year-long production project combining LLMs, graph algorithms, and computer vision.

We'll explore:

Orchestrating complex ML workflows with Vertex AI Pipelines Using Gemini to classify products, extract attributes, and generating titles/descriptions Connecting product variants across retailers with graph algorithms Deduplicating images using computer vision

You'll learn practical lessons from deploying these systems in production, including trade-offs and challenges encountered along the way

Kick-off and briefing for the AI Challenge.

Hands-on workshop guided by Kristen Scotti that explores using AI chatbots to learn coding in Python, debugging, optimizing, and understanding code, with emphasis on responsible and effective use of AI as an on-demand tutoring aid.

Hands-on GenAI implementation workshop focusing on Vertex AI and Gemini models. Bring your own use case and learn Google's best practices for solving real-world challenges using Google Cloud's advanced AI tools.

In this session, we’ll explore how to rapidly prototype Flutter applications using just a web browser — no local setup required. With the combined power of DartPad, the new Firebase Studio, and Gemini AI, you’ll learn how to turn ideas into working prototypes in minutes. Whether you're experimenting, building proofs of concept, or just moving fast, this talk will show you how modern cloud tools and AI can streamline your development workflow and boost your productivity — from anywhere. Vadym Pinchuk is a GDE in Flutter & Dart with 8+ years of Android experience and 4+ years in cross-platform development. He has delivered mobile solutions for brands like Samsung, Volvo, Instagram, and Sky. Vadym regularly speaks at international conferences such as Droidcon, Fluttercon, and FlutterHeroes, and supports events as an MC and stage manager. Passionate about community and education, he mentors developers and actively contributes to the global Flutter ecosystem.

Learn how to manage security controls and licenses for thousands of users, and tie it all together with APIs. We’ll show you ways to manage developer access more efficiently, build custom management integrations, and keep your CISO happy at the same time. We’ll also demo the new Gemini Code Assist integration with Apigee, which lets developers use Gemini Code Assist chat to generate context-aware OpenAPI specifications that reuse components from other APIs in their organization for efficiency and reference organizational security standards.

Join this session to learn best practices for optimizing your data and analytics costs. Discover new BigQuery capabilities that simplify workload management and provide greater cost controls and adherence to best practices. BigQuery customers Just Eat Takeaway and Trendyol will share their BigQuery migration journeys, scaling strategies, and how they used workload management and optimization tools to improve their return on investment (ROI).

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!

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.

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!

Build intelligent search with Vertex AI Embeddings. This hands-on lab explores text and multimodal embeddings (images & video), showing you how to transform data into numerical representations for enhanced search. Learn to create a simple e-commerce search system that finds products based on text, images, and videos.

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!

Tired of generic code suggestions? Learn how to customize Gemini Code Assist using your source code repositories. This session covers best practices for generating new code, and retrieving and reusing existing code, with Gemini Code Assist code-customization capabilities. Boost productivity, enforce consistency, and reduce cognitive load with a truly personalized AI coding assistant.

Gemini 2.0 was built for the agentic era – from native tool use to function calling to robust support for multimodal understanding, the new frontier of applications are agentic. Join this session to explore the frontier of agents, where the best opportunities are for developers to build, open research areas to scale to billions of agents, and how to best leverage Gemini.

Did you know that GitHub Copilot lets you use Google Gemini as an AI programming assistant? Learn tips and tricks of prompting, shaping the context space, injecting third-party knowledge sources, and other ways that GitHub developers maximize their (and their team's) use of Gemini in VS Code and other IDEs.

This Session is hosted by a Google Cloud Next Sponsor.
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The open-source AI agent landscape is thriving with innovation. This session is your definitive guide to building, deploying, and monitoring OSS agent frameworks. Learn patterns and best practices that combine the best of open-source frameworks with the AI platform built for production – Vertex AI. In this session, we'll cover techniques for multi-agent orchestration, working with diverse data sources, and building autonomous workflows. Join us on a journey from open-source agent frameworks to production-grade agent deployments and LLMOps on Vertex AI.

Are you a site reliability engineer (SRE) for an organization running generative AI workloads? If gen AI is transforming your workloads, are your SRE skills keeping pace? This session is a must for SREs facing the unique challenges of gen AI. Learn to adapt the four golden signals – tackling latency in multistage pipelines, user satisfaction in nondeterministic systems, and new error types like hallucinations. Discover how Google Cloud Observability and Firebase Genkit AI monitoring can help you master gen AI SRE.

Many organizations are scrambling to adopt Aritificial Intelligence tools across their teams, and like any new technology rollout, they are encountering challenges- both expected and unexpected. CME Group recently rolled out Gemini Code Assist to one of their large software development organizations and are excited to share takeaways around people, process, and tools. The topics include: compliance and information security considerations, 
managing rollout and adoption: starting small and scaling, and how these tools can help reshape the workday of your teams. No matter where you are in your AI adoption journey, you're sure to learn something new!