Implement AI/ML workflows with Amazon SageMaker (Hebrew)

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As your AI and Machine Learning practice evolves, teams need to increase the level of automation to handle the continuous influx of business-critical data. Building AI and ML workflows allows you to streamline repeatable machine learning end to end, including deploying your models to production environments.
In this session, we use the AWS Step Functions Data Science SDK to easily create workflows directly in Python that process and publish AI and Machine Learning models using Amazon SageMaker and Step Functions.

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AWS Developers
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Amazon Web Services, AWS, AWS Online Tech Talks
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