Courses

New courses available in the area of Information Architecture for AI

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New courses available in the area of Information Architecture for AI!
The Data and AI Expert Labs & Learning team is proud to announce the availability of two new courses on Coursera! The courses are the result of a collaboration between architects in the IBM Garage and instructors from Expert Learning who put their skills together to create client-facing enablement that can be leveraged for client engagements and internal training.
The courses may be audited for free on Coursera.

IBM Data Topology (Paul Christensen and Mike Hervey)
Every business and organization is facing new challenges with their data. Pressures related to regulation and compliance, leveraging AI, spanning multicloud environments, and increasing volumes of inaccessible data are forcing executives and administrators to either modernize their infrastructures or become obsolete. But moving to the latest technology in a monolithic architecture is a tempting solution that can be expensive and cause more problems than it solves. In this course, you learn how to meet the needs of your data consumers through the construction of a modern logical topology that helps you optimize data flow.
https://www.coursera.org/learn/ibm-data-topology

IBM Data Privacy for Information Architecture (Chris Giardina and Aaron Ritchie)
Data privacy controls how information is collected, used, shared, and disposed of, in accordance with policies or external laws and regulations. In this course, students will gain an understanding of what data privacy is along with how to identify and understand typical data protection and privatization objectives that an enterprise may have, and how to choose a data protection approach. The student will gain a background in multiple data privacy mechanisms and practices, and learn how to grow their data protection toolkit. IBM Garage with DataFirst will be the backbone of the discussion.
https://www.coursera.org/learn/ibm-data-privacy

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