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Exclusive – Students should have already completed the following modules as part of the MB-280: Dynamics 365 Customer Experience Analyst course series. If they haven't, it's recommended that they take some time to complete these modules before beginning the challenge project.

In this course, you practice building journeys using Dynamics 365 Customer Insights. The skills validated include creating marketing assets like emails, creating a segment, creating a journey, adding elements to a journey, and publishing the journey.

This course explores the use of AI in the context of GitHub Copilot, a generative AI tool for developers. It equips users with the knowledge and skills to use Copilot effectively while mitigating potential ethical and operational risks associated with AI usage.

This course is focused on understanding how various platforms are managed through Workspace ONE UEM. The primary objective of this session is to ensure confidence in the capabilities of Workspace ONE UEM and how it manages multiple platforms all in one place.

In this course, you'll learn the basics of GitHub and gain a better understanding of its fundamental features with a hands-on exercise all within a GitHub repository. You'll learn best practices for building, hosting, and maintaining a secure repository on GitHub.

Advanced Concepts in Data Visualization is a three-day immersive course designed for professionals who want to elevate their data storytelling and dashboard design skills. Building on foundational visualization principles, this course dives into advanced chart types,...

This course is designed to teach you the fundamental practical skills to navigate and work in a z/OS environment. This includes the use of ISPF/PDF dialogs, TSO/E commands, JCL, UNIX System Services shell, and BookManager.

This course is designed to give the z/OS Operator personnel as well as entry systems programmers an overview about JES2. The students should be able to use JES2 commands at the z/OS Console and use SDSF.

This course is developed for systems programmers working on an implementation of a Parallel Sysplex. It covers the details of z/OS and z/OS-related products and subsystems exploiting the Parallel Sysplex components. It is focused on the resource sharing side.

Working with Oracle Data Analysis, Big Data Lite VM, Hadoop, Flume, Kafka, NoSQL, MapReduce, Yarn and Much More.