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Microsoft: Microsoft Service Adoption Specialist

Learn how to drive adoption of cloud services from Microsoft to enable business outcomes

Microsoft Service Adoption Specialist
4 weeks
2–4 hours per week
Self-paced
Progress at your own speed
This course is archived
Future dates to be announced

About this course

Skip About this course

In this introductory course you will learn the six critical elements of driving adoption of your Microsoft cloud services to deliver value to your company. This course is applicable to any size company and uses Office 365 and Microsoft Teams as the example service to create real world scenarios.

You will learn specifics about the critical elements in successful adoption planning and execution including:

  • Structure of a service adoption team
  • How to create service strategy & success measures
  • Communication methods for training & service awareness
  • Feedback & community management tools
  • Technical readiness elements

The course is intended for training, communications or adoption staff as well as IT professionals that manage an Office 365 deployment.

Join the community of Office 365 Champions and Adoption Specialists at https://aka.ms/O365Champions to share your experience and learn from others who are driving adoption of cloud services.

Note: These courses will retire in June. Please enroll only if you are able to finish your coursework in time.

At a glance

  • Language: English
  • Video Transcript: English
  • Associated skills:Planning, Service Strategy, Community Management, Microsoft Teams, Cloud Computing, Cloud Services, Microsoft Office 365

What you'll learn

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  • Drive adoption of Office 365 and Microsoft Teams for your organization as example workloads in a cloud service adoption strategy.
  • Write a collaboration and communications service strategy.
  • Utilize the Outcomes Matrix to quantify and select success measures.
  • Structure early adopter and champion programs.
  • Work with technical talent to ensure service readiness and quality.
  • Configure scalable user feedback methods.

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