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October 5, 2022

[Webinar] Hands-on Workshop: Machine Learning Engineering with AWS SageMaker

About the Event

In this hands-on workshop, WeCloudData will walk you through the process of building an ML pipeline in Amazon SageMaker. The speaker will start by introducing machine learning engineering, MLOps, and some best practices. Then a guided hands-on lab will give you an introduction to SageMaker.

  • Lab Environment:
  • Please make sure you have an AWS account with FullAccess to AWS SageMaker and S3
  • You will be accessing the SageMaker notebook via a web browser
  • If you’re just watching the demo, the recording will be available after the event via Meetup email to our members


Schedule (Times listed below are in EDT):

  • 6:00pm – 6:30pm: Open registration
  • 6:30pm – 7:15pm: ML Best Practices and MLOps Intro
  • 7:15pm – 8:30pm: SageMaker Hands-on Lab
  • 8:30pm – 9:00pm: Q&A


Topics We Will Cover:

  • Introduction to ML Engineering
  • ML Engineering and MLOps Job Market
  • AWS SageMaker 101
  • Hands-on Lab: Train and Deploy ML Models using SageMaker


Who is this event for?

  • Anyone who wants to learn more about machine learning engineering using Amazon SageMaker
  • Data scientists who are interested in machine learning engineering

Event Details
6:30 pm -
 8:30 pm EST/EDT
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Speakers
Shaohua Zhang
Chief Instructor (WeCloudData) | Head of Data Science (BeamData) | Startup Advisor and Data Coach
Shaohua is the Co-founder and Chief Instructor at WeCloudData. In the past few years, he has trained hundreds of students and helped many of them launch their data science careers. He is also the CEO and Head of Data Science at Beam Data where he works closely with the industry partners on implementing data science projects. Prior to co-founding the Toronto Institute of Data Science and Technology (WeCloudData), he led the data science team at BlackBerry and helped build the data science practice at Kik. He has also worked with big companies such as TD, Canadian Tire, Sunlife, CIBC, Communitech, and MaRS on upskilling their data teams.
Rhys Williams
AI Engineer @BeamData | AI Instructor @WeCloudData
Rhys Williams is the lead AI engineer at BeamData. He is an AI and Robotics lover. He’s been teaching the Python for Data Science courses with WeCloudData and currently is in charge of the Deep Learning Capstone project course. He loves robotics, raspberry pi, deep learning, and has developed his AI robot Mr-B. Check out Mr-B’s videos on his Instagram: https://www.instagram.com/rhysdgw/
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