Broadcast Date: May 12, 2023
Level: 300
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
- An understanding of Low Code/No Code machine learning services available on Amazon SageMaker.
- A practical framework for selecting the most appropriate service for your specific use case.
- A working knowledge of Amazon SageMaker Canvas and its potential applications.
Who Should Attend?
Developers, Data Scientists, ML practitioners
Speaker(s)
Rustem Feyzkhanov, AWS ML Hero, Staff Machine Learning Engineer at Instrumental
Learn More
To learn more about the services featured in this talk, please visit:
aws.amazon.com/sagemaker/canvas
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