Machine Learning on AWS using Sagemaker, ONLINE Workshop [rescheduled]
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Machine Learning on AWS using Sagemaker, ONLINE Workshop [rescheduled]

Join us for an immersive one-day hands-on workshop to learn how Amazon SageMaker can accelerate your machine learning initiatives.

By UCL Centre for Digital Innovation

Date and time

Ends on Tue, 7 May 2024 05:00 PDT

Location

Online

Agenda

9:30 AM - 10:00 AM

Introduction to Amazon SageMaker

10:00 AM - 10:30 AM

Lab Setup & Introduction to SageMaker Studio

10:30 AM - 11:15 AM

Data preparation in Notebook vs Processing Job

11:15 AM - 11:30 AM

BREAK

11:30 AM - 12:30 PM

Train, Tune and Deploy a model with built-in & custom script

12:30 PM - 12:50 PM

SageMaker Jumpstart

12:50 PM - 1:00 PM

Conclusion & Survey

About this event

  • 3 hours 30 minutes

This practical full-day workshop will teach you how Amazon SageMaker can accelerate your machine learning initiatives. In interactive sessions, you'll get the end-to-end guidance on how to build, train, and deploy high quality ML models.

PLEASE NOTE:

  • This rescheduled event is now being run 100% online - CDI will email to registered participants the Microsoft Teams meeting link 5pm the day before
  • This highly popular event has an upper limit capacity to ensure we deliver the best possible experience for you - if you can no longer attend, please kindly contact us to release your ticket for others on our waitlist


This event will provide an overview of the robust machine learning capabilities SageMaker provides to remove heavy lifting from each step of the ML process. Through hands-on labs, you'll experience first-hand how SageMaker enables you to easily develop machine learning models with automation and pre-built algorithms.


Whether you are new to machine learning or an experienced practitioner, attending this workshop will equip you with the knowledge to champion AI/ML initiatives at your organisation and fully leverage the automation and ease-of-use capabilities of SageMaker.

Please note this event is offered as in-person only - to ensure the best experience it will not be online-enabled.

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