Accelerate AI with Cloud Run

TBA, The location will be revealed after registering with Google, Cambridge, 02142

GDG Cloud Boston

Google Cloud Labs Presents Accelerate AI with Cloud Run - Boston

Oct 7, 1:00 – 8:30 PM (UTC)

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Key Themes

AIBuild with AICareer DevelopmentCloudEnterprise/Business SolutionsMachine LearningNetworkingVertex AI

About this event

Google Cloud Labs Presents Accelerate AI with Cloud Run - Boston

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 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: Take your working agent and prepare it for a consistent, portable deployment. 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.

Click the Get Tickets button to express interest in joining the event!

Capacity is limited and registration on Google's event page is required.

See the event description on the External Ticketing page for a Detailed Agenda.

This is a Google-led event. Google is managing reservations (click Get Tickets) and any questions should be directed to the Google team. We are listing this event at GDG Cloud Boston to increase visibility.

Please arrive promptly to allow time to set up the Google Cloud environment. It will be difficult to catch up if you miss the beginning.

When

When

Tuesday, October 7, 2025
1:00 PM – 8:30 PM (UTC)

Speakers

  • Karl Weinmeister

    Google Cloud

    Head of Cloud Product Developer Relations

  • Fran Hinkelmann

    Google

    Senior Engineering Manager

  • Shir Lador

    Google

    AI Leader

Organizers

  • Lukas Karlsson

    Altissimo

    GDG Organizer

  • Roya Kandalan

    Gen AI Research Scientist

  • Norbert Kremer

    Analytics By Design

    Cloud Solution Architect

  • Marianne Ray

    Ginkgo Bioworks

    Staff Software Engineer

  • Uyanga (Melody) Jung

    Data Scientist

  • Marissa Fisher

    Broad Institute of MIT and Harvard

    Principal Software Engineer

  • Joe Lust

    Mabl

    Cloud Infra Lead

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