What is the Celonis Rising Stars Program?
The Celonis Rising Stars Program is a unique learning experience designed for university and college students who are interested in learning the skills and knowledge necessary for a career in process mining and execution management.
A collaboration of Celonis Academy and the Celonis Academic Alliance, the Rising Stars Program is a new Academic Learning Journey consisting of individual courses and training tracks assembled into four paths.
Students begin their Rising Star journey by learning the basics of process mining with the Introduction to Process Mining course. Next, they will deepen their understanding of process mining and Celonis EMS with the Process Mining Fundamentals training track. The Introduction course is designed to take 1 hour to complete, and the Fundamentals track should take about 9 hours. Students can learn at their own pace, pausing and restarting individual courses as necessary.
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After completing the introductory course and fundamentals track, learners can specialize in one of the follow focus areas based on their interests and career goals:
Pathway to Rising Business Star: This path contains the Deliver Business Value with Celonis and the Create and Deliver Demos training tracks. The two tracks are designed for people interested in roles such as Process Manager and Process Analyst. After completing the path, learners should be able to frame value by identifying improvement opportunities, develop an action plan to make process improvements, develop and deliver a business value oriented demo and use the various Demo creation tools available in Celonis. The path should take about 19 hours, including the Introduction and Fundamentals prerequisites. (Badge: Celonis Rising Star - Business)
Pathway to Rising Technical Star: This path includes the Write PQL Queries and Get Data into the EMS training tracks. These tracks are designed for roles such as Process Mining Engineer and Process Mining Architect. After completing the material in this path, learners have a solid grasp of PQL (Process Query Language), be able to create static background filters, compare attributes with benchmarking analysis sheets, configure drill down tables and ingest data into Celonis EMS. The path should take about 23.5 hours to complete, including the Introduction and Fundamentals prerequisites. (Badge: Celonis Rising Star - Technical)
Pathway to Rising Automation Star: This path consists of the Automation Bootcamp course and Build Action Flows training track. The material in this path is designed for people interested in roles such as Process Improvement Manager and Process Automation Manager. After completing the material in this path, students should understand the basics of business process automation and its link to process mining, know how Celonis automation tools can be applied to real-world business scenarios and be able to create automation scenarios using Make or Celonis Action Flows. The path should take about 19 hours to complete, including the Introduction and Fundamentals prerequisites. (Badge: Celonis Rising Star - Automation)
Pathway to Rising Research Star: This path consists of the Process Mining: From There to Execution training track and is taught by Professor Wil van der Aalst, Chief Scientist of Celonis and a full professor at RWTH Aachen University. He is regarded by many as the godfather of process mining. After completing the material in this path, learners should have a solid theoretical and academic foundation in process mining, understand the practical application of process mining with real business cases, understand the key process discovery and conformance checking algorithms, and understand how comparative and predictive process mining techniques organizations use to perform root cause analysis of performance and compliances issues. Completing this path is the first step for those interested in academic research in process mining. The path should take about 20 hours to complete, including the Introduction and Fundamentals prerequisites. (Badge: Celonis Rising Star - Research)