In this session we take a deep-dive into Azure Machine Learning, a cloud service that you can use to track as you build, train, deploy, and manage models. We use the Azure Machine Learning Python SDK to manage the complete life cycle of a PyTorch model, from managing the data, to train the model and finally run it into a highly scalable managed endpoint.
Speaker: Henk Boelman - I'm a Cloud Advocate specializing in Artificial intelligence and Azure with a background in application development. Currently I'm part of the regional cloud advocate team and based in the Netherlands. Before joining Microsoft, I was a Microsoft AI MVP and worked as a developer and architect building lots of AI powered platforms on Azure.
I love to share my knowledge on software development for the cloud. Get developers started with Machine Learning and share my experience on how to get ML Models in production. You can find me online using the links above or at in-person events
Who is it aimed at?
- Developers who want to learn and assist the ML workflow
- Data scientist / AI Engineers
Why should I attend?
Learn how to manage the complete Machine Learning lifecycle in Azure.
Here are some useful resources for this session:
https://aka.ms/Mar7MachineLearningSolutions3
https://aka.ms/Mar7PyTorchFundamentals3
https://aka.ms/Mar7TrainPyTorch3
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