- COURSE
Microsoft Cloud for Sustainability (IC-002T00)
Price: $1,495.00
Duration: 2 days
Certification:
Exam:
Continuing Education Credits:
Learning Credits:
As a result of attending this course, the learner should be able to understand the sustainability concepts and how the business thinks of tracking and reporting emissions, describe Microsoft Cloud for Sustainability customer scenarios, and configure the features of Microsoft Sustainability Manage.
Upcoming Class Dates and Times
All Sunset Learning courses are guaranteed to run
- Please Contact Us to request a class date or speak with someone about scheduling options.
Course Outline and Details
Prerequisites
- AZ-900T00 Microsoft Azure Fundamentals
- PL-900T00 Microsoft Power Platform Fundamentals
Target Audience
This course is designed for individuals willing to learn about Microsoft Cloud for Sustainability. It is targeting and will be most beneficial to the following two roles: cloud specialist and sustainability industry technologist.
Job role: Administrator, Business Analyst, Business User, Data Analyst, Data Engineer, Data Scientist, Developer, DevOps Engineer, Functional Consultant, Solution Architect, Technology Manager
Course Objectives
Learn to:
- Set up your training environment
- Microsoft Cloud for Sustainability overview
- Microsoft Sustainability Manager concepts
Course Outline
Module 1: Set up your training environment
- Discuss Microsoft Solution Center
- Set up a new Microsoft Office E5 trial tenant.
- Set up a new Microsoft Cloud for Sustainability trial instance.
Module 2: Microsoft Cloud for Sustainability overview
- Discover key sustainability concepts.
- Learn about Microsoft’s sustainability journey.
- Explore the core capabilities of Microsoft Cloud for Sustainability.
Module 3: Microsoft Sustainability Manager concepts
- Learn about the different solution focus areas.
- Learn about the concepts to set up organization and reference data.
- Discover how to import data using different data ingestion methods.
- Build a calculation model and profile.
- Learn about the concepts of a model, library, and profile and how they interact with each other.
- Generate quantitative reports to extract emission and activity data.
- Review out-of-the-box analytics data.
- Explore how to monitor progress using scorecards and goals.