Name: Build with AI on Google Cloud - Session #5 - MLOps
Start: 2025-03-19T19:00:00-07:00
End: 2025-03-19T20:00:00-07:00

RSVP on Bevy here: https://gdg.community.dev/events/details/google-gdg-seattle-presents-build-with-ai-on-google-cloud-session-5-mlops/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 final session, you will learn about MLOps. There are two talks:

**Talk 1: Auto-ML meets Model Garden: Automating model selection and fine-tuning, by Vino Ravikumar, Microsoft**

As AI adoption scales, organizations face challenges in selecting, fine-tuning, and deploying models efficiently. AutoML (Automated Machine Learning) combined with Model Garden offers a powerful paradigm to streamline model selection, hyperparameter tuning, and deployment—allowing businesses to harness AI with minimal manual effort.

This talk will explore:

✅ How AutoML and Model Garden complement each other to automate AI model discovery and adaptation

✅ Techniques for automated model selection, transfer learning, and hyperparameter tuning

✅ Scaling AI workflows with self-improving models using reinforcement learning and meta-learning

✅ Real-world applications of AutoML-driven model curation in enterprises

✅ Future trends: How Model Garden can evolve into an intelligent AI ecosystem with AutoML

By the end of this session, attendees will gain insights into how AutoML and Model Garden together can revolutionize AI model deployment, making AI more accessible.

**Talk 2: Responsible AI in the age of LLMs, by ML GDE Vikram Tiwari**

How have LLMs changed the way we think about responsible AI. From training these models to their outputs and how can we do better.

The event series are a collaboration by GDG Seattle, GDG Surrey, GDG Vancouver and GDG Burnaby.

The five sessions of the study series are:

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

***

Speakers

Vinodhini Ravikumar - Microsoft (Principal Engineering Leader (Group))

I'm a seasoned engineering leader at Microsoft, focusing on data and generative AI to create intelligent experiences in the distributed service ecosystem. With a solid software engineering background and a passion for innovation, my work entails collaborating with cross-functional teams to design scalable solutions that leverage AI, transforming service interactions and enhancing user value. C…

Vikram Tiwari - Co-Founder, Omni Labs (Google Developer Expert for Cloud and ML)

Vikram Tiwari is Co-founder, tech at Omni Labs where they are building the future of work and automation. He focuses on the cloud and machine learning aspects of technology. Vikram focuses on finding novel solutions to tough problems because he believes there is always a way! Vikram enjoys public speaking and helping individuals and startups when he is not actively writing code.

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.

Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-seattle-presents-build-with-ai-on-google-cloud-session-5-mlops/.

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Google Developer Group (GDG) Seattle

Google provides the venue and the refreshments for our meetings.

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