Process Automation Approaches Short Preview

As part of the core Digital Transformation curriculum, this course provides a high-level introduction to the process automation landscape including hyperautomation, process mining, RPA, and model-driven application development using BPMN.
This course examines current process automation approaches including Process Mining, Robotic Process Automation (RPA), and BPMN Automation. Students will be introduced to the multiple technologies, tools, and platforms of Hyperautomation including Artificial intelligence (AI), Machine Learning (ML), and event-driven software concepts. Demo tools for student exercises will include Celonis Process Mining, UiPath RPA, and the Trisotech Digital Enterprise Suite.
The course will define Process Mining, describe its major benefits, examine the vendor landscape, and help students determine where it might fit best in their organization. Several use case / case studies will be presented as well as hands-on exercises. Students will also learn about the Robotic Process Automation (RPA) vendor landscape, RPA's major benefits, where RPA fits best, and see several case studies. Hands-on exercises will be included.
Finally, we will review significant BPMN automation vendors and learn a methodology for transforming BPMN "documentation" models into automation models using the OMG concept of Computational Independent Model (CIM) - Platform Independent Model (PIM) - Platform Specific Model (PSM). Examples of models at different levels of transformation will be explored as students learn to use BPMN shapes like Data Object and Data Store References, Data Associations, Business Rule Tasks, Service Tasks and Scripting Tasks that take on new importance for connecting and orchestrating modern applications and systems.
Learn more about this course:
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