Name: [IN-PERSON] - Accelerate AI with Cloud Run - Austin
Start: 2025-09-04T09:00:00-05:00
End: 2025-09-04T16:30:00-05:00
Location: Google Austin

IMPORTANT - IN ORDER TO REGISTER FOR THIS EVENT, YOU MUST DO SO ON THE FOLLOWING LINK: https://rsvp.withgoogle.com/events/accelerate-ai-with-cloud-run-austin

THIS IS AN IN-PERSON EVENT WITH A CAPPED AMOUNT OF SPOTS (100). IN ORDER TO ENSURE YOUR PLACE, YOU NEED TO REGISTER USING THE LINK ABOVE.

Now for the exciting stuff....

Join Google Cloud Labs for an immersive, hands on workshop learning how to build and scale production-grade AI agents with Cloud Run and GPU support!

Welcome to the Accelerate AI with Cloud Run workshop!
This is a hands-on program designed to take your AI applications from prototype to full-scale production. In the world of AI development, a great idea is just the beginning. The real challenge lies in transforming that initial spark into a secure, scalable, and robust application that can handle real-world demands.

Get ready to get your hands dirty! This is an interactive session, not a lecture. Through a series of live labs, you'll tackle real-world challenges, from securing your services to deploying advanced AI agents. You will leave with practical skills and the confidence to take your own AI projects to the next level.

Note: To join the workshop, you must bring your own laptop and power cable. The activities are intended for laptops and cannot be completed on a tablet or phone.

Who Should Attend?
This hands-on workshop is designed for software developers, data scientists, and AI practitioners who have some experience building applications or working with models, and are looking to productionize them. To get the most out of the labs, you should have foundational knowledge of a programming language like Python and be comfortable using the command-line interface. While expertise is not required, a basic understanding of Cloud computing concepts, web APIs, and containerization technology like Docker will be highly beneficial.

What You Will Learn:
Deploy Secure, Production-Ready Services: Master the essentials of securing your applications on Cloud Run. You will build and deploy a Model Context Protocol (MCP) server and learn to implement authentication to ensure that only authorized clients and agents can interact with your service.

Build Intelligent Agents: Dive into the Agent Development Kit (ADK) to construct an intelligent agent capable of understanding a goal and using tools to achieve it. You'll connect your agent to the secure MCP server you built, giving it the power to perform real-world tasks.

Containerize and Deploy with Docker: Take your working agent and prepare it for a consistent, portable deployment using Docker. This is a crucial step for managing applications in a serverless environment.

Harness the Power of GPUs on Cloud Run: Deploy your containerized agent to a Cloud Run instance and attach a GPU to accelerate your models. You will gain hands-on experience managing production configurations and testing a live, GPU-accelerated application.

Can't wait to see you there!

Agenda

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Speakers

Paige Bailey - Google (AI Developer Experience Engineer)

Paige Bailey is the Group Product Manager for both Code AI and Multipod Language Models at Alphabet, where she helps apply machine learning and large language models to the end-to-end software development lifecycle. Prior to returning to the Brain team, Paige spent just over a year at Microsoft as the director of machine learning and MLOps at GitHub, working on projects like Codespaces and Cop…

Karl Weinmeister - Google Cloud (Head of Cloud Product Developer Relations)

Karl Weinmeister is an Engineering Manager in Developer Relations - Cloud AI/ML at Google, where he leads a team of software engineers and data scientists responsible for the APIs/SDKs for Google Cloud AI & Industry Solutions. His team also builds technical assets such as code samples and notebooks showing how to develop and operationalize machine learning models. Karl has worked exten…

Fran Hinkelmann - Google (Senior Engineering Manager)

Shir Lador - Google (AI Leader)

Hosted By

Leopoldo Hernandez, Software Engineer

I am an avid and focused individual. I strive for daily self-enrichment of the ever-growing CS field. After teaching English as a Second Language to adults for 10+ years, I came to the realization that my passion for problem solving, patience and dedication needed a change of pace, and so, a career-change took place.

I studied computer science at 42 Silicon Valley where the pedagogy is peer-to-peer, based learning. I was able to learn about what inspired me and motivated me while coding away projects for 14+ hours a day. I was a lot of fun.

I'm currently a Full-Stack Developer at Wayfair based in Austin TX. :D

Ryan Francis, CEO & Founder

👋 I’m Ryan and as the CEO/Founder of Whisler, I partner with companies across the US to find top-tier mobile engineering talent within Flutter, iOS, Android, React Native, and Xamarin. I can do a bit of everything outside of mobile (FE, BE, DevOps/Cloud, QA, ML, Marketing, Product), but mobile is my true specialization (particularly Flutter) 📲.

Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-austin-presents-in-person-accelerate-ai-with-cloud-run-austin/.

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