AWS ML Heroes in 15: Harnessing Low-code/No-Code Machine Learning on AWS

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Published Feb 20, 2025

In today's rapidly evolving technological landscape, businesses are constantly seeking ways to build and deploy sophisticated machine learning (ML) solutions without the need for extensive coding expertise—or coding at all. We will explore the concept of low-code/no-code development and its increasing significance in the world of ML. Then we will cover Amazon SageMaker low-code/no-code offerings, including Amazon SageMaker Canvas, Amazon SageMaker Data Wrangler, Amazon SageMaker Autopilot, and Amazon SageMaker JumpStart. You’ll walk away understanding how you use low-code/no-code tools to accelerate time to market, reduce tedious and repetitive low-level tasks, and make ML accessible to more people, such as business analysts.

Learning Objectives:
* Objective 1: An understanding of Low Code/No Code machine learning services available on Amazon SageMaker.
* Objective 2: A practical framework for selecting the most appropriate service for your specific use case.
* Objective 3: A working knowledge of Amazon SageMaker Canvas and its potential applications.

***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/sagemaker/canvas/?sagemaker-data-wrangler-whats-new.sort-by=item.additionalFields.postDateTime&sagemaker-data-wrangler-whats-new.sort-order=desc
****To download a copy of the slide deck from this webinar visit: https://pages.awscloud.com/AWS-ML-Heroes-in-15-Harnessing-Low-code-No-Code-Machine-Learning-on-AWS_2023_SN-0507-MCL_OD Subscribe to AWS Online Tech Talks On AWS:
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