Hello everyone!

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.

From Paul Christensen and Mike Hervey:
IBM Data Topology
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 all 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

From Chris Giardina and Aaron Ritchie:
IBM Data Privacy for Information Architecture
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. The IBM DataFirst method will be the backbone of the discussion.
https://www.coursera.org/learn/ibm-data-privacy

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Mike Hervey
IBM Data and AI Technical Enablement
Senior Technical Enablement Specialist and Squad Leader
IBM Data and AI Expert Labs and Learning
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#AIandDSSkills
#AIandDSSkills
#DataandAILearning

This is exciting, especially due to the hot topics covered by each of these courses! I also appreciate that everyone can register for free with Coursera, and then they can have access to this course material for free. Learners only have to pay if they want to partake in course assignments, projects, assessments, or to get the badge or certificate. It is a great way to try before you buy, and then if you decide you want to pay to do the assignments and get acknowledgement of completion, you can do so. There is a promotion on for a complimentary Coursera offer to all new members of this community: https://community.ibm.com/community/user/ailearning/coursera.

Check it out!

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Deb Templeton
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Original Message:
Sent: Wed April 08, 2020 02:10 PM
From: Mike Hervey
Subject: New Coursera courses available!

Hello everyone!

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.

From Paul Christensen and Mike Hervey:
IBM Data Topology
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 all 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

From Chris Giardina and Aaron Ritchie:
IBM Data Privacy for Information Architecture
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. The IBM DataFirst method will be the backbone of the discussion.
https://www.coursera.org/learn/ibm-data-privacy

------------------------------
Mike Hervey
IBM Data and AI Technical Enablement
Senior Technical Enablement Specialist and Squad Leader
IBM Data and AI Expert Labs and Learning
------------------------------



#AIandDSSkills
#DataandAILearning
#AIandDSSkills