Workflow Automation with Python: Python Scripts, Exception Logic, and Process Integration

Course overview

The training "Workflow Automation with Python: Python Scripts, Exception Logic, and Process Integration" imparts fundamental and advanced knowledge in the areas of "Python Scripts", "Exception Logic", and "Process Integration". Typical requirements, possible solutions, and evaluation criteria for workflow automation are compared. The learning sequence connects process understanding, triggers and rules, technical implementation, and the testing of automated processes. At the end, work results from Python are reflected upon and compared with the learning objectives for workflow automation. The guiding theme is the task "Workflow Automation with Python"; it is addressed from a technical, methodological, and quality-related perspective. Participants work on comprehensible practical cases from digital process and automation tasks, compare solution paths, and document assumptions, decisions, and results. The goal is a structured understanding of the task areas described in the title and their application in different work situations. Program The technical classification of Python is supplemented by concrete tasks related to workflow automation. The educational content is divided into seven interrelated learning sections: - Workflows and Technical Components: The focus on "Workflow Automation with Python" is contextualized regarding task frameworks, typical areas of application, and the necessary work steps. The orientation is specified through repeatable processes, triggers, exceptions, and the controlled execution of individual process steps. Participants independently apply workflow automation in a defined task section. - Python Scripts: Terms, processes, and decision points are connected and applied in a practical task. - Exception Logic: This subtopic is addressed using central terms, typical work steps, and a comprehensible application case. - Process Integration: Participants categorize requirements, choose an appropriate approach, and document the resulting outcomes. The transfer part deepens Python and integrates the insights into a cohesive task. - Tests, Error Paths, and Operation: Normal cases, exceptions, and restarts are examined; protocols and responsibilities support controlled use. - Quality of Automated Processes: Inputs, rules, results, and restarts are controlled based on clear criteria. - Application Task and Reflection: A realistic example is planned, implemented, and evaluated based on documented criteria. Work results related to workflow automation are discussed and improved based on clear criteria. The exercises are designed so that participants not only reproduce terms but also justify work steps, verify results, and transfer them to a new case. Commonalities, differences, and sensible transitions between Python and workflow automation are elaborated. The documentation of practical tasks makes learning progress, open questions, and professional decisions comprehensible.

Upcoming dates

• 2026-10-25T23:00:00.000Z · 2027-01-17T23:00:00.000Z · München · Combined Learning
• 2026-10-25T23:00:00.000Z · 2027-04-11T22:00:00.000Z · München · Combined Learning
• 2026-11-22T23:00:00.000Z · 2027-02-14T23:00:00.000Z · München · Combined Learning
• 2026-11-22T23:00:00.000Z · 2027-05-09T22:00:00.000Z · München · Combined Learning