Build with AI on Google Cloud - Session #3 - Gemini

RSVP is closed on meetup. Please RSVP on Bevy here: https://gdg.community.dev/events/details/google-gdg-seattle-presents-build-with-ai-on-google-cloud-session-3-gemini/cohost-gdg-seattle

Are you interested in learning generative AI? Join us for this 5-session online study series with Google Cloud, where we take you onto the journey learning generative AI. You’ll explore the dynamic landscape of Generative AI, gaining both theoretical insights and practical know-how of Google Cloud GenAI tools such as Gemini, Vertex AI and Imagen 3.

You will get free access to Google Cloud Skills Boost and engage in practical exercises to earn the Google Cloud Skills Boost badge, demonstrating your ability to craft effective prompts, guide AI outputs, and deploy Gemini models in real-world marketing scenarios. In addition, you will learn from expert speakers from Google and the community.

In this third session, you will learn about Gemini, Gemma and Agents. Detailed agenda to be added later.

The event series are organized by GDG Seattle and GDG Surrey, co-hosted by GDG Vancouver and GDG Burnaby.

The five sessions of the study series are:

1/22/2025 - Session #1 - Intro to GenAI on Google Cloud (RSVP here)
2/5/2025 - Session #2 - Deep Dive: Image Generation, Vector Search, Embeddings, RAG (RSVP here)
2/19/2025 - Session #3 - Building Apps: Gemini, GenAI Agents (RSVP here)
3/5/2025 - Session #4 - Data: BigQuery & Gemini (RSVP here)
3/19/2025 - Session #5 - Deployment: Model Garden, MLOps, Responsible AI (RSVP here)

Agenda

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Hosts

Margaret Maynard-Reid - Google Developer Expert (Generative AI)

Margaret Maynard-Reid is an ML engineer, 3D artist and fashion designer. She is recognized as a Google Developer Expert (GDE) in AI and Machine Learning. She is a contributor to open source projects, and she writes, speaks and teaches on AI, art and design. She leads GDG Seattle and Seattle Data/Analytics/Machine Learning.

Priti Yadav

I am a developer with experience in creating machine learning applications and leading a computer vision research group. I am passionate about driving innovative projects that merge technology with sustainability and thrive in interdisciplinary work.