Operationalizing ML Model on Cloud ☁️

Making ML model available on the cloud platform for interaction with the business application and also comes with a lot of challenges like lack of automation, poor data management and also the challenges occur during the deployment of model. In this session, we will be exploring building and deployment of ML model and also the ways to operationalize it on cloud ☁️

Dec 17, 2022, 2:30 – 3:30 PM

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Key Themes

Google CloudMachine Learning

About this event

🟥 Agenda of the Session:

1. Why ML into the Cloud

2. Building ML Model

3. Deploying ML Model

4. Inferencing: Online & Batch

5. Building Pipelines

6. Canary Testing

7. Artifact Tracking

8. How do we operationalize model

9. Q&A

Speaker

  • Gopala Dhar

    Google

    AI Engineer

Organizers

  • Vansh Baghel

    GDSC Lead

  • 14_COMP_C_Shreyansh Shukla

    Vice Chairperson

  • Vanshika Patel

    Advisory

  • MANASRAJ SINGH

    Outreach Head

  • Ayman Shaikh

    Logistics Head

  • Sahil Yadav

    Technical Head

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