Virtual Show and Tell, Intro to Labs - Build with AI

GDG Hudson

We are meeting online every third week of the month:July 17thAug 21stSept 18thOctober 16thand in person every second wee...

Jul 17, 10:00 – 11:30 PM (UTC)

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About this event

We are meeting online every third week of the month:

  • July 17th
  • Aug 21st
  • Sept 18th
  • October 16th

and in person every second week of the month, alternating small towns in the Hudson Valley, NY.

Serge Vilvovsky from AltaStata startup will present their solution Securing Data Collaboration and AI Supply Chain.

Are you interested to present your project? Give a lightning talk? Full talk or hands-on workshop? Fill out this Call For Speakers!

After that we will use recommended lab sequence to learn how to build with AI. Some labs recommended:

  1. Introduction to Gemini 2.5 Pro on Google Cloud: https://codelabs.developers.google.com/codelabs/intro-gemini-25-pro-colab?hl=en#0
  2. Yoga Pose Recommender https://codelabs.developers.google.com/yoga-pose-firestore-vectorsearch-python?hl=en#0
  3. Build a YouTube Summarizer https://codelabs.developers.google.com/devsite/codelabs/build-youtube-summarizer?hl=en#1
  4. Building AI Agents with Vertex AI Agent Builder https://codelabs.developers.google.com/devsite/codelabs/building-ai-agents-vertexai?hl=en#1
  5. Google's Agent Stack in Action Lab to learn ADK Agent, A2A and much more. You'll learn to build AI-powered multi-agent systems on Google Cloud using Vertex A and explore the cutting edge of multi-agent AI and its transformative potential.
  6. and much more

Register in advance for this and following virtual meetings (monthly, on the third Thursday of the month):

Mentor

  • John Sturman

    OpenHub

Facilitator

  • Yulia Ovchinnikova

    OpenHub

Host

  • Yulia Ovchinnikova

    OpenHub

Partner

OpenHub logo

OpenHub

Organizers

  • Yulia Ovchinnikova

    OpenHub

    GDG Organizer

  • John Sturman

    OpenHub

    Agile Facilitator / CSM

  • Begimai Zhumakova

    Pace University

    Adjunct Professor, Machine Learning

  • Richard Lin

    New York

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