Learn how AI-assisted coding and agents improve your development and modernization workflows. Observe Gemini Code Assist perform ticket review, code generation, code rewrite, and spec generation, as well as COBOL to Java mainframe code transformation.

Monitor generative AI workloads using Google Cloud Observability, including alerting and troubleshooting.

Optimize capacity allocation, workload performance, and cost of running applications with the help of AI.

Enhance factory performance with AI analytics. Monitor operations, protect assets, and empower workers using edge computing.

In this hands-on lab, you'll explore the power of Kubernetes and learn how to orchestrate cloud applications with ease. Using Google Kubernetes Engine, you’ll provision a fully managed Kubernetes cluster and deploy Docker containers using kubectl. Break down a monolithic application into microservices using Kubernetes Deployments and Services, and gain insights into the latest innovations in resource efficiency, developer productivity, and automated operations. By the end, you'll be ready to streamline application management in any environment.

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!

Experience Paddle Bounce, a classic game brought to life with the power of Gemini 2.0’s Multimodal Live API in action! Discover the potential of AI for understanding and responding in real time.

Create a story with Pixel Narrator! Provide an image & text prompt, then witness how Multimodal Live API translates visual details into a compelling text narrative in real-time.

Unify your data warehouse and operational store for real-time insights. Use new innovations in Bigtable SQL and BigQuery.

Explore new frameworks for orchestrating single or even multiple agent interactions in your workflows.

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 session learn about performance optimizations for PyTorch on Google Cloud accelerators using OpenXLA. These models are powerful but can be disrupted by resource failures. This talk also explores strategies for achieving greater resiliency when running PyTorch on GPUs, focusing on fault tolerance, checkpointing, and distributed training. Learn how to leverage open source tools to minimize downtime and ensure your deep learning workloads run smoothly.

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

Unleash fresh avenues for efficient marketing with data analytics and generative AI. Combine creativity with modern analytics to transform marketing workflows from real-time insights to AI-powered recommendations, segmentation, and image and video generation.

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.

Deploy and operate agents built using any framework in Vertex AI. Monitor and evaluate agents with simple controls.

Secure, optimize, and connect AI/ML workloads across hybrid and multicloud environments with Cross-Cloud Network. Optimize GPU and TPU compute resources to reduce costs and improve user experience.

Keep AI data pipelines protected by preventing unauthorized access or modification of application code and data using Confidential Computing.

Leveraging years of experience building internal platforms at Google, this session offers actionable insights for Google Cloud customers on creating effective development ecosystems. Learn how to prioritize safety, efficiency, and reliability through the interplay of platform engineering, feature development, and Site Reliability Engineering (SRE). Whether you’re a seasoned Google Cloud user or new to platform engineering, this talk can help you optimize software delivery, operations, and achieve your business goals.

Manage your entire database fleet from a single place with Database Center. Get AI-powered recommendations and resolve issues quickly with Database Insights.

Experience the future of AI with Google Cloud! Speak with customers who are building innovative AI solutions and learn directly from them. This experience offers a real-world look into "how we built it" discussions, giving you the chance to explore the possibilities. See detailed schedule of each timeblock here.