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LEARN, CONNECT, BUILD

Microsoft Reactor

Join Microsoft Reactor and engage with developers, entrepreneurs, and startups live

Ready to get started with AI and the latest technologies? Microsoft Reactor provides events, training, and community resources to help developers, entrepreneurs and startups build on AI technology and more. Join us!

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Machine learning operations (MLOps)

4 June, 2022 | 4:30 AM - 7:30 AM (UTC) Coordinated Universal Time

  • Format:
  • alt##LivestreamLivestream

Topic: Data Science & Machine Learning

Language: English

In this workshop, you will learn how Wide World Importers (WWI) can leverage Deep Learning technologies to scan through their vehicle specification documents to find compliance issues with new regulations and manage the classification through their web application. The entire process from model creation, application packaging, model deployment and application deployment needs to occur as one unified repeatable, pipeline.
At the end of this workshop, you will be better able to design and implement end-to-end solutions that fully operationalize deep learning models, inclusive of all application components that depend on the model.

Azure services and related products:
• Azure Container Instances
• Azure DevOps
• Azure Kubernetes Service
• Azure Machine Learning Service
• Azure AutoML
• ML Ops
• ONNX
• Azure Synapse Analytics

Further Learning: https://aka.ms/MLOps-MachineLearning

Speaker : Shivam Sharma

Speaker BIO- Shivam is an author, cloud architect, speaker, and Co-Founder at TechScalable. Being passionate about ever evolving technology he works on Azure, GCP, Machine Learning, Kubernetes & DevOps. He is also a Microsoft Certified Trainer. He architects’ solutions on Cloud as well on-premises using wide array of platforms/technologies.

Social Handle

LinkedIn - https://www.linkedin.com/in/shivam-sharma-9828a536/
Twitter - https://twitter.com/ShivamSharma_TS
Facebook - https://www.facebook.com/TSshivamsharma/

Speakers

For questions please contact us at reactor@microsoft.com