Learn Live - Azure ML Developer Experience

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: / meeralam

Varma Gadhiraju Senior FastTrack Engineer, Azure Data Analytics and Machine Learning Microsoft

LinkedIn: / chaitanya-varma-g

Moderators Jameel Ahmed Azure Customer Engineer Microsoft

LinkedIn: / jameel-ahmed-a4863513

Transcript

Follow along using the transcript.

Microsoft Developer

588K subscribers

Learn Live - Azure ML Developer Experience

Chapters View all

Welcome

Welcome

Welcome

Introduction

Introduction

Introduction

Learning Objectives

Learning Objectives

Learning Objectives

Azure Machine Learning Workspace Overview

Azure Machine Learning Workspace Overview

Azure Machine Learning Workspace Overview

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.

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.

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.

Tips and Tricks: Attaching to the VS code, debugging Functionality, Azure ML HTTP Inference Server

Tips and Tricks: Attaching to the VS code, debugging Functionality, Azure ML HTTP Inference Server

Tips and Tricks: Attaching to the VS code, debugging Functionality, Azure ML HTTP Inference Server

Closure

Closure

Closure

Microsoft Developer

Learn Live - Azure ML Developer Experience

Comments 1

Chapters

Welcome

Welcome

Welcome

Introduction

Introduction

Introduction

Learning Objectives

Learning Objectives

Learning Objectives

Azure Machine Learning Workspace Overview

Azure Machine Learning Workspace Overview

Azure Machine Learning Workspace Overview

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.

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.

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.

Tips and Tricks: Attaching to the VS code, debugging Functionality, Azure ML HTTP Inference Server

Tips and Tricks: Attaching to the VS code, debugging Functionality, Azure ML HTTP Inference Server

Tips and Tricks: Attaching to the VS code, debugging Functionality, Azure ML HTTP Inference Server

Closure

Closure

Closure

Description

Chapters View all

Welcome

Welcome

Welcome

Introduction

Introduction

Introduction

Learning Objectives

Learning Objectives

Learning Objectives

Azure Machine Learning Workspace Overview

Azure Machine Learning Workspace Overview

Azure Machine Learning Workspace Overview

Microsoft Developer

Transcript

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