Certification Study Group -Professional ML Engineer Session 2 (GCP-TensorFlow & Feature Engineering)

GDG Surrey

Embark on a journey of innovation as we explore two dynamic topics in one event. Unlock open-source potential: run Retrieval-based-voice-conversion-web-ui on Google Colab. Delve into TensorFlow pipelines, ML model design, and optimization. Learn from experts to enhance your AI and ML skills.

Mar 2, 6:30 โ€“ 8:00 PM

138 RSVP'd

Key Themes

AICertification PrepCertification Study GroupCloudCloud HeroCloud Study JamMachine LearningRoad to Google Developers CertificationTensorFlow

About this event

What We Will Discuss:

  1. Reviewing progress in the machine learning certification journey
  2. ๐—ฆ๐—ฝ๐—ฒ๐—ฐ๐—ถ๐—ฎ๐—น ๐—”๐—ฑ๐—ฑ๐—ถ๐˜๐—ถ๐—ผ๐—ป - Lightening talk on Training an AI Voice Conversion Model Using Google Colab by Adam Berg
  3. Content Review by Vasudev Maduri
    • Data Preparation and Processing
    • Solution Architecture with TensorFlow Extended (TFX)
    • Data Ingestion Challenges and Solutions
    • Sample Question Review
    • Previewing next steps and topics, including course completions and material reviews.

How to prepare for this session?

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

04 TensorFlow on Google Cloud (Link)

05 Feature Engineering (Link)

Speakers

  • Vasudev Maduri

    Accenture AI

    Sr.Machine Learning Engineer and Cloud Evangelist

  • Adam Berg

    XYZ Digital

    CEO

Organizers

  • Priti yadav

    Noddle Care Inc.

    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

    Graduate student | Mentor

  • Darshan Parikh

    Autodesk Inc.

    Android Engineer | Co - Organizer

  • Justin Xiao

    British Columbia Institute of Technology

    Outreach Coordinator

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