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WS-050T00: Migrating Application Workloads to Azure

Overview

WS-050T00: Migrating Application Workloads to Azure training course is designed for IT Professionals who want to learn how to migrate existing on-premises workloads and assets to the cloud, specifically to the Microsoft Azure platform. In this training class, you will learn how to assess and evaluate an existing on-premises environment in preparation for a cloud migration.

Target Audience:

This course is recommended for IT Administrators who need to plan, implement and manage migrations of on-premises resources to Azure, or to replicate Azure virtual machines to other Azure locations.

Schedule & Prices
Course Details Schedule
Live Online Training (Instructor-Led)
Duration : 2 Days (4 Day for 4 Hours/Day)
Fee : USD 1,100 (1-on-1)†



April

8 Hours/Day
4 Hours/Day
13-14
19-20
20-21
27-28
13-16
19-22
20-23
27-30
May

8 Hours/Day
4 Hours/Day
18-19
18-21
July

8 Hours/Day
4 Hours/Day
06-07
06-09
Fly-Me-a-Trainer
Duration : 2 Days
Fee : On Request
Client's Location
As per mutual convenience
Classroom Training*
Duration : 2 Days
Fee : Sydney : USD 1,800 London : USD 1,700 Dubai : USD 2,000 India : USD 1,500
May
18-21 (Chennai) (Venue)
July
06-09 (Delhi) (Venue)
06-07 (London) (Venue)

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After completing this course, students will be able to:

  • Articulate the key business and technical drivers leading to a cloud migration.
  • Identify the tools and services specific to each phase of the migration.
  • Discover and assess on-premises workloads for migration to Azure.
  • Obtain deeper profiling of an environment using app dependency mapping and assessment customizations.
  • Perform an end-to-end migration of on-premises workloads to Azure using Azure Site Recovery.
  • Replicate data from an on-premises datacenter to Azure or to a secondary site.
  • Migrate data from existing data sources to Azure data platforms using the Azure Database Migration Service.
  • Secure and manage migrated workloads using Azure Security Center, Azure Backup, and Azure Log Analytics.
  • Ensure an effective business continuity strategy that includes high availability, disaster recovery
  • Back up and protect Azure IaaS virtual machines from any location using the Azure Backup Service.
  • Define a recovery plan to ensure virtual machines can fail over properly.
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