Learn Live - Azure ML Developer Experience

From the creator

Full series information: https://aka.ms/learnlive-202302FT More info here: https://aka.ms/learnlive-202302FT-Ep3 Follow on Microsoft Learn: - Session documentation: https://aka.ms/learnlive-20230228FT In this session you will get a solid understanding of the overall on the concept of Training models with Azure Machine Learning (AzureML) CLI, SDK, and REST API by walking through step-by-step examples, leading up to ML model lifecyle management leveraging Azure ML Python SDK V2 so we can help accelerate your AI journey in the cloud. We will review how we work with ML models in Azure ML Python SDK V2 and then demostrates how we leverage Azure ML Python SDK V2 to work with ML models in local environment or with ML Studio. --------------------- Learning objectives - Azure ML Components - How to organize ML solution - Enterprise Security - Training - Deployment --------------------- Chapters -------- 00:00 - Welcome 01:58 - Introduction 03:21 - Learning Objectives 16:07 - Azure Machine Learning Workspace Overview 1:06:40 - Azure ML Studio, Notebook, Azure ML Python SDK V2 and CLI V2 way of Training and deploying models, through VS code, connecting remotely to Compute Instance, demo. 1:28:19 - Tips and Tricks: Attaching to the VS code, debugging Functionality, Azure ML HTTP Inference Server 1:29:21 - Closure --------------------- Presenters Meer Alam Azure Customer Engineer Microsoft - LinkedIn: https://www.linkedin.com/in/meeralam/ Varma

Published 2023-03-23 · Watch on YouTube ↗
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