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Machine learning operations (MLOps)

Microsoft Reactor
115K subscribers
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536 views 2 years ago
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 Shivam is an author, cloud architect …...more
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Customer Scenario

3:21

The Customer Scenario

4:09

Operationalization of the Deep Learning Models

6:01

Focus on Vehicle Components

10:09

What Is Ml Ops

13:29

How Is the Mlos Pipeline Different from Other Devops Pipeline

14:55

Development Environment

18:10

Azure Machine Learning Service

19:04

Scheduling

20:13

Network Security Groups

20:26

Azure Devops

21:47

Azure Devops Agents

26:27

Microsoft Hosted Machines

27:29

Agent Pools

29:18

Agent Pool

33:12

Create the New Pipeline

40:54

Installing the Azure Machine Learning

45:15

Attach the Folder to the Workspace

45:52

Default Blob Storage

57:26

Metadata of the Model

1:03:48

Predefined Variables

1:08:22

Continuous Delivery

1:11:31

Create the Devops Agent

1:12:04

Creating the Azure Container Instance

1:13:23

Azure Container Instance

1:13:29

Application Insights

1:18:09

Test Deployment

1:19:40

Service Connection

1:20:11

App Registration

1:21:01

Environment File

1:23:12

Initialization Function and the Run Functions

1:24:40

Model Data Collector

1:25:38

Model Data Collector Class

1:25:54

Aci Deployment Config Yml File

1:28:07

Aks Deployment

1:29:53

Triggers

1:30:37

Retraining

1:34:58

Data Drift Monitor

1:39:59

Iot Deployment

1:43:30

Iot Hub

1:48:12

Azure Iot Hub

1:48:16

Azure Container Container Registry

1:54:57
Machine learning operations (MLOps)
16Likes
536Views
2022Jun 6
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 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 Handles LinkedIn -   / shivam-sharma-9828a536   Twitter -   / shivamsharma_ts   Facebook -   / tsshivamsharma   [eventID:15453]

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Microsoft Reactor

115K subscribers