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Certification Study Group - Professional ML Engineer Session 6 (MLOPs & ML Pipelines on GCP)

GDG Surrey

Learn and apply the MLOps lifecycle: Optimize your ML pipelines using Google Cloud for durable architecture and consistent maintenance of ML solutions.

Apr 6, 5:30 – 7:00 PM (UTC)

129 RSVP'd

Key Themes

AICertification PrepCertification Study GroupCloudCloud HeroCloud Study JamMachine LearningRoad to Google Developers CertificationTensorFlowVertex AI

About this event

What We Will Discuss:

  1. MLOps Lifecycle
  2. ML problem framing
  3. ML solution architecture
  4. Data preparation and processing
  5. ML model development
  6. ML pipeline automation and orchestration
  7. ML solution monitoring, optimization, and maintenance

How to prepare for this session?

To enhance your certification journey, we recommend completing the MLE Learning Path courses on Google Cloud Skills Boost.

11 ML Ops - Getting Started (link)

13 ML Pipelines on Google Cloud (link)

Speaker

  • Vasudev Maduri

    Accenture AI

    Sr.Machine Learning Engineer and Cloud Evangelist

Organizers

  • Priti yadav

    GDG Organizer

  • Yashi Girdhar

    Software Developer, Event Manager

  • Sam Huo

    Senior Software Developer, Co-Organizer

  • Sowndarya Venkateswaran

    Data Scientist, Instructor

  • Riya Eliza

    The University of British Columbia

    Data Scientist Co-Organizer GDG Surrey

  • Darshan Parikh

    Autodesk Inc.

    Android Engineer | Co - Organizer

  • Justin Xiao

    British Columbia Institute of Technology

    Outreach Coordinator

  • Bishneet Rekhi

    Volunteer

Contact Us