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.
Agenda
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Speakers
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
Lukas Karlsson, GDG Organizer
Lukas Karlsson is a the founder of Altissimo, a cloud consulting and services provider. He is a architect, developer advocate, public speaker, community organizer, and a certified Professional Cloud Architect. Previously, he spent twenty years supporting genomics research at the Broad Institute of MIT and Harvard.
Lukas is a Google Cloud Developer Expert in Cloud and leads the GDG Cloud Boston developer community and the Slack Boston community.
Roya Kandalan, Gen AI Research Scientist
Roya is a research scientist working on advancing artificial intelligence technologies. She has a PhD in Electrical Engineering, is a US patent holder, and has multiple publications in primary journals on electrical engineering, mathematics, and artificial intelligence. Her primary research interests are generative AI, computer vision, and pattern recognition. Roya has developed machine learning solutions for various applications, including healthcare, assistive technologies, and security.
She is enthusiastic about advancing science and passionate about women’s rights. She is a Google Developer Expert and Cloud Champion in AI/ML, a Google Woman’s Techmaker Ambassador, and a Google Developer Group co-organizer (Cloud Boston). She uses these platforms to enhance women’s confidence in the workplace and advocate for women's and non-binary individuals' rights.
Norbert Kremer, Cloud Solution Architect
Google Developer Expert (Data Cloud)
Cloud Solution Architect
Google Certified Professional Machine Learning Engineer, Data Engineer and Database Engineer
Co-organizer at GDG Cloud Boston
Cloud data warehouse expert (BigQuery, Redshift, Snowflake, Databricks, Teradata, Oracle)
Agentic AI application developer with ADK, MCP, A2A
Google Cloud Authorized Trainer
Marianne Ray, Staff Software Engineer
Uyanga (Melody) Jung, Data Scientist
Marissa Fisher, Principal Software Engineer
I am a passionate cloud developer on the cutting edge of research in the genetics of disease. I've been in the Boston area since 2015 working as a software engineer and volunteering with educational organizations, GDG being one of them. I'm always happy to connect with others and empower them on their journey through the technology space, be it locally or globally.
Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-cloud-boston-presents-accelerate-ai-with-cloud-run/.
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