AWS step Functions: Develop Serverless Machine Learning Workflows

In this video, we will cover AWS Step functions and understand how to develop Machine Learning workflows.
- AWS Step Functions allows for creating serverless workflows.
- The Output from a step is fed as an input to the next step.
- AWS Step functions converts a workflow into a state machine diagram that’s easy to debug and understand.
- AWS Step Functions allows for performing resilient workflow automation fast without writing code. It allows for advanced error handling and retrying mechanisms.

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I hope you enjoyed this video and see you in future videos.

Thanks.

#sagemaker #stepfunction #AWS

[hello]

I love your video. It helps me to have a short time to know the AWS step function and its use case.

[karthikb.s.k.]

Nice videos . Please let me know from where we can access your all video materials.

[camiloandresleguizamon]

AWS SageMaker Practical need to be uploaded because there are a lof of parametres that they have been renamed