Certification Study Group - Professional ML Engineer Session 3 (Machine Learning in the Enterprise)

Dive into the essentials of ML model development, processes, and techniques to combat underfitting and overfitting, explore distributed training approaches, and understand model explainability. Enhance your skills with practical insights from a seasoned expert.

Mar 9, 6:30 โ€“ 8:00 PM


Key Themes

AICertification PrepCertification Study GroupCloudCloud HeroCloud Study JamCommunity BuildingMachine LearningRoad to Google Developers CertificationTensorFlow

About this event

What We Will Discuss:

๐—ฆ๐—ฝ๐—ฒ๐—ฐ๐—ถ๐—ฎ๐—น ๐—”๐—ฑ๐—ฑ๐—ถ๐˜๐—ถ๐—ผ๐—ป - Lightning Talk by Sam Huo: "AI and ML: Insights from a Software Architect." Dive into the practical applications and insights of AI and ML from an experienced software architectโ€™s perspective.

Content Review by Dr. Ryan Rad: 

  • Model Development
  • ML Processes
  • Distributed Training Approaches
  • Model Explainability
  • Sample Question Review
  • Previewing Next Steps and Topics

How to prepare for this session?

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

06 Machine Learning in the Enterprise (link)


  • Ryan Rad

    Northeastern University

    Assistant Professor Of Computer Science

  • Sam Huo


    Software Architect & Software Developer


  • Priti yadav

    Noddle Care Inc.

    GDG Organizer

  • Yashi Girdhar

    Software Developer, Event Manager

  • Sam Huo

    Senior Software Developer, Mentor

  • Sowndarya Venkateswaran

    Data Scientist, Instructor

  • Riya Eliza

    The University of British Columbia

    Graduate student | Mentor

  • Darshan Parikh

    Autodesk Inc.

    Android Engineer | Co - Organizer

Contact Us