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Course Code: 834105
The Information Security Administrator course equips you with the skills needed to plan and implement information security for sensitive data using Microsoft Purview and related services. The course covers essential topics such as information protection, data loss pr...
Course Code: 845001
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.
Course Code: 842013
XDR is the industry's most powerful extended detection and response platform. You will gain hands-on expertise in endpoint management, case management, forensic analysis and platform automation. Throughout this course, you will explore the key features of Cortex XDR....
Course Code: 834116
Learners will understand how to use Microsoft 365 Copilot and its functionalities to improve their productivity. The course focuses on real-world use cases—no coding required—making it ideal for those who want to confidently integrate AI into their work.
James Michael Stewart discusses 10 ways everyone should focus on key issues regarding to approaching Cybersecurity in 2015 for their organization. Learn more.
Big data is getting bigger. Companies like IBM are rising to meet the challenge. Learn more about initiatives like the OpenPower Foundation and open source programs like Linux that improve your processing capabilites.
Find out which training path is best to earn your Cisco Certified Network Associate (CCNA) Routing and Switching certification with some self-assessments, information about exam requirements and recommendations for test preparation.
In this excerpt from his new book, Accelerating Leadership Development, Jocelyn Bérard, Vice President, Leadership and Business Solutions, Global Knowledge, examines the importance of communication in an organization and present practical concepts for leaders to apply easily.
Learn more about data breaches on a large-scale level and what can and can't be done about them.
A look at five basics to consider in any data center virtualization project: planning, balancing the various hardware components, sizing the storage properly, managing capacity, and automation.
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