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AZ 900 12 Secure Network Traffic
2:30
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AZ 900 11 Implement Key Vault
5:58
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AZ 900 10 Create a VM CLI
2:40
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AZ 900 Createa VM with Powershell
6:12
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AZ 900 08 Createa VM with a Template
2:43
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AZ 900 06 Azure Functions
2:46
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AZ 900 05 Implement an IoT Hub
2:42
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AZ 900 04 Createa Blob Storage
2:44
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AZ 900 03 Create Virtual Network
7:58
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AZ 900 02 Deploy Azure Container Instance
2:10
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AZ 900 07 Createa Web App
2:01
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AZ 900 01 Createa VM in Portal
4:20
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AZ 900 14 Manage Access with RBAC
2:03
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AZ 900 15 Manage Resource Locks
1:12
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AZ 900 13 Createan Azure Policy
2:32
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AZ104 Implement Monitoring
39:08
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AZ104 Implement Data Protection
32:58
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AZ104 Implement Azure Kubernetes Service
2:26
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AZ104 Implement Azure Container Instances
7:12
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AZ104 Implement Web Apps
19:21
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AZ104 Manage Virtual Machines
1:16:55
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AZ104 Manage Azure Storage
33:25
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AZ104 Implement Traffic Management
38:37
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AZ104 Implement Intersite Connectivity
12:20
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AZ104 Implement Virtual Networking
24:56
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AZ104 Manage Azure resources by Using ARM Templates
8:11
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AZ104 Manage Azure resources by Using the Azure Portal
10:46
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AZ104 Manage Governance via Azure Policy
24:30
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AZ104 Manage Subscriptions and RBAC
14:55
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AZ104 Manage Azure Active Directory Identities
19:49
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DP100 Lab 10B Monitoring Data Drift
3:30
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DP100 Lab 10A Monitoring a Model
4:10
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DP100 Lab 09B Interpreting Models
5:49
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DP100 Lab 09A Reviewing Automated Machine Learning Explanations
4:49
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DP100 Lab 08B Using Automated Machine Learning
4:48
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DP100 Lab 08A Tuning Hyperparameters
5:14
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DP100 Lab 07B Creating a Batch Inferencing Service
9:21
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DP100 Lab 07A Creating a Real-time Inferencing Service
8:47
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DP100 Lab 06B Publishing a Pipeline
5:51
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DP100 Lab 06A Creating a Pipeline
6:50
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DP100 Lab 05B Working with Compute Targets
5:21
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DP100 Lab 05A Working with Environments
7:57
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DP100 Lab 04B Working with Datasets
10:55
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DP100 Lab 04A Working with Datastores
11:24
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DP100 Lab 03B Training Models
11:32
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DP100 Lab 03A Running Experiments
12:13
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DP100 Lab 02B Using the Visual Designer
9:42
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DP100 Lab 02A Using the Visual Designer
10:14
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DP100 Lab 01B Working with Azure Machine Learning Tools
9:17
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DP100 Lab 01A Creating an Azure Machine Learning Workspace
8:15
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DP-201 Module 6: Designing for Efficiency and Operations
11:16
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DP-201 Module 5: Designing for Scale and Resiliency
12:35
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DP-201 Module 4: Security Design Considerations
10:31
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DP-201 Module 3: Azure Real-Time Processing Reference Architectures
14:00
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DP-201 Module 2:Azure Batch Processing Reference Architectures
16:05
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DP-201 Module 1: Azure Architecture Considerations
13:18
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DP200 Module 9 Monitoring and Troubleshooting Data Storage and Processing
13:57
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DP200 Module 8 Securing Aure Data Platforms
13:43
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DP200 Module 7 Orchestrating Data Movement with Azure Data Factory
17:37
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DP200 Module 6 Performing Real Time Analytics with Stream Analytics
11:54
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DP200 Module 5 Working with Relational Data Stores in the Cloud
16:34
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DP200 Module 4 Building Globally Distributed Databases with Cosmos DB
14:17
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DP200 Module 3 Enabling Team Based Data Science with Azure Databricks
15:55
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DP200 Module 2 Working with Data Storage
14:15
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DP200 Module 1 Azure for the Data Engineer
14:12
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DP200 Module 0 Implementing an Azure Data Solution
23:38
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AI900 M5 Conversational AI
24:38
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AI900 M2 Machine Learning
52:48
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AI900 M4 Natural Language Processing
27:58
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AI900 M3 Computer Vision
31:20
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AI900 M1 Introduction to AI
20:33