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MLOps CodeBreakfast on AWS - GoDataFest 2022

The document outlines an MLOps breakfast session covering topics including AWS SageMaker usage, use cases, and hacking time. It emphasizes the gap between machine learning development and operations. Participants are encouraged to log in to AWS and access SageMaker Studio for hands-on experience.

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MLOps Code Breakfast On
󰛎 How many of you have: 1. Used SageMaker before? 2. Are you actively using it at your company?
Schedule for this session ✓ Welcome 2. MLOps 3. Usecase & pipeline 4. Time to hack 󰳕󰠁 5. Conclusion
So what is MLOps about?
There’s a gap between ML Dev and Ops Dev Ops Background image source: https://www.developer-tech.com
Dev Ops https://www.thequotablecoach.com/build-a-bridge/
Usecase > Dataset
Usecase > Architecture
Let’s get hacking 󰠁󰳕 </>
godatadriven/code-breakf ast-aws-sagemaker
First, a bit of IAM ❏ Can you login to AWS? ❏ Can you access SageMaker studio?
Concluding The MLOps Code Breakfast
Thanks for joining!