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Practice-oriented AI workflows: Theory and application
Course
2

Booking no:

40888

Practice-oriented AI workflows: Theory and application

In this course, you will learn how to methodically optimize business processes and link them with AI technologies in order to effectively implement automation projects. Using practical case studies, you will develop use cases, a data strategy and concrete solutions for intelligent, autonomous processes in your company.

4 weeks
approx. 20 hours
Online
German
Junior, Professional and Master Class

Date preview

Start date
Last module
Availability
Location
25.7.2025
20.8.2025
Places free
Maximum planning security
Implementation already secured
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Next booking secures the
implementation
Live-Online
26.9.2025
22.10.2025
Places free
Maximum planning security
Implementation already secured
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Next booking secures the
implementation
Live-Online
28.11.2025
19.12.2025
Places free
Maximum planning security
Implementation already secured
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Next booking secures the
implementation
Live-Online
5.2.2026
4.3.2026
Places free
Maximum planning security
Implementation already secured
Hook on!
Next booking secures the
implementation
Live-Online

Module overview

The following module overview shows dates for the course start on
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Module
1

Understanding the range of AI use cases in practice

  • Recognize and evaluate the potential of AI for business automation in various business areas
  • Influence of AI projects on business processes 
  • Cultural acceptance of AI projects in companies 
  • Approaches to implementation 
  • Different degrees of automation of AI solutions 
  • Identify AI use cases in practice and assess their benefits for your own company 
  • Clear understanding of the strategic integration of AI in business processes 
Webinar
120 minutes

Friday, 25.07.2025
09:00 am - 11:00 am

61419642
Module
1

Understanding the range of AI use cases in practice

  • Recognize and evaluate the potential of AI for business automation in various business areas
  • Influence of AI projects on business processes 
  • Cultural acceptance of AI projects in companies 
  • Approaches to implementation 
  • Different degrees of automation of AI solutions 
  • Identify AI use cases in practice and assess their benefits for your own company 
  • Clear understanding of the strategic integration of AI in business processes 
Webinar
120 minutes

Friday, 26.09.2025
09:00 am - 11:00 am

61419643
Module
1

Understanding the range of AI use cases in practice

  • Recognize and evaluate the potential of AI for business automation in various business areas
  • Influence of AI projects on business processes 
  • Cultural acceptance of AI projects in companies 
  • Approaches to implementation 
  • Different degrees of automation of AI solutions 
  • Identify AI use cases in practice and assess their benefits for your own company 
  • Clear understanding of the strategic integration of AI in business processes 
Webinar
120 minutes

Friday, 28.11.2025
09:00 am - 11:00 am

61419644
Module
1

Understanding the range of AI use cases in practice

  • Recognize and evaluate the potential of AI for business automation in various business areas
  • Influence of AI projects on business processes 
  • Cultural acceptance of AI projects in companies 
  • Approaches to implementation 
  • Different degrees of automation of AI solutions 
  • Identify AI use cases in practice and assess their benefits for your own company 
  • Clear understanding of the strategic integration of AI in business processes 
Webinar
120 minutes

Thursday, 05.02.2026
09:00 am - 11:00 am

61419645
Module
2

Strategic use case mapping

  • Methodology for AI use case identification, elaboration and planning 
  • Fundamentals of a sound data and automation strategy 
  • Methodologies and artifacts for different implementation phases 
  • Criteria for use case evaluation (data availability, costs, benefits, legal framework) 
  • Creation of strategic use case maps 
  • Successfully managing automation projects: from the idea to planning 
Self-study phase
120 minutes
61419642
Module
2

Strategic use case mapping

  • Methodology for AI use case identification, elaboration and planning 
  • Fundamentals of a sound data and automation strategy 
  • Methodologies and artifacts for different implementation phases 
  • Criteria for use case evaluation (data availability, costs, benefits, legal framework) 
  • Creation of strategic use case maps 
  • Successfully managing automation projects: from the idea to planning 
Self-study phase
120 minutes
61419643
Module
2

Strategic use case mapping

  • Methodology for AI use case identification, elaboration and planning 
  • Fundamentals of a sound data and automation strategy 
  • Methodologies and artifacts for different implementation phases 
  • Criteria for use case evaluation (data availability, costs, benefits, legal framework) 
  • Creation of strategic use case maps 
  • Successfully managing automation projects: from the idea to planning 
Self-study phase
120 minutes
61419644
Module
2

Strategic use case mapping

  • Methodology for AI use case identification, elaboration and planning 
  • Fundamentals of a sound data and automation strategy 
  • Methodologies and artifacts for different implementation phases 
  • Criteria for use case evaluation (data availability, costs, benefits, legal framework) 
  • Creation of strategic use case maps 
  • Successfully managing automation projects: from the idea to planning 
Self-study phase
120 minutes
61419645
Module
3

Framework conditions for AI solutions in the business context

  • Organizational and technical framework conditions for the design and implementation of autonomous solutions
  • Properties and importance of data within AI solutions 
  • Handling data in autonomous business process solutions 
  • Different types of AI, data science and GenAI for automation 
  • Role of data privacy and IT architectures 
  • Identify suitable AI solutions for business processes 
Self-study phase
120 minutes
61419642
Module
3

Framework conditions for AI solutions in the business context

  • Organizational and technical framework conditions for the design and implementation of autonomous solutions
  • Properties and importance of data within AI solutions 
  • Handling data in autonomous business process solutions 
  • Different types of AI, data science and GenAI for automation 
  • Role of data privacy and IT architectures 
  • Identify suitable AI solutions for business processes 
Self-study phase
120 minutes
61419643
Module
3

Framework conditions for AI solutions in the business context

  • Organizational and technical framework conditions for the design and implementation of autonomous solutions
  • Properties and importance of data within AI solutions 
  • Handling data in autonomous business process solutions 
  • Different types of AI, data science and GenAI for automation 
  • Role of data privacy and IT architectures 
  • Identify suitable AI solutions for business processes 
Self-study phase
120 minutes
61419644
Module
3

Framework conditions for AI solutions in the business context

  • Organizational and technical framework conditions for the design and implementation of autonomous solutions
  • Properties and importance of data within AI solutions 
  • Handling data in autonomous business process solutions 
  • Different types of AI, data science and GenAI for automation 
  • Role of data privacy and IT architectures 
  • Identify suitable AI solutions for business processes 
Self-study phase
120 minutes
61419645
Module
4

Hands-on application of AI theory in practice

  • Transfer of theory into practice using numerous case studies 
  • Basic knowledge: Cognitive Process Modeling 
  • Successfully managing automation projects: the first steps in integrating AI into business processes  
Webinar
120 minutes

Wednesday, 06.08.2025
09:00 am - 12:00 pm

61419642
Module
4

Hands-on application of AI theory in practice

  • Transfer of theory into practice using numerous case studies 
  • Basic knowledge: Cognitive Process Modeling 
  • Successfully managing automation projects: the first steps in integrating AI into business processes  
Webinar
120 minutes

Wednesday, 08.10.2025
09:00 am - 12:00 pm

61419643
Module
4

Hands-on application of AI theory in practice

  • Transfer of theory into practice using numerous case studies 
  • Basic knowledge: Cognitive Process Modeling 
  • Successfully managing automation projects: the first steps in integrating AI into business processes  
Webinar
120 minutes

Wednesday, 10.12.2025
09:00 a.m. - 12:00 p.m.

61419644
Module
4

Hands-on application of AI theory in practice

  • Transfer of theory into practice using numerous case studies 
  • Basic knowledge: Cognitive Process Modeling 
  • Successfully managing automation projects: the first steps in integrating AI into business processes  
Webinar
120 minutes

Wednesday, 18.02.2026
09:00 am - 12:00 pm

61419645
Module
5

Understanding and using AI building blocks

  • Deep Dive: the right technology selection for specific business problems 
  • Deep Dive: Cognitive Process Modelling and its use for process optimization 
  • Learning occasions and learning procedures for AI in the process to be automated 
  • Process-relevant challenges of large language models 
  • Targeted use of AI building blocks 
Self-study phase
120 minutes
61419642
Module
5

Understanding and using AI building blocks

  • Deep Dive: the right technology selection for specific business problems 
  • Deep Dive: Cognitive Process Modelling and its use for process optimization 
  • Learning occasions and learning procedures for AI in the process to be automated 
  • Process-relevant challenges of large language models 
  • Targeted use of AI building blocks 
Self-study phase
120 minutes
61419643
Module
5

Understanding and using AI building blocks

  • Deep Dive: the right technology selection for specific business problems 
  • Deep Dive: Cognitive Process Modelling and its use for process optimization 
  • Learning occasions and learning procedures for AI in the process to be automated 
  • Process-relevant challenges of large language models 
  • Targeted use of AI building blocks 
Self-study phase
120 minutes
61419644
Module
5

Understanding and using AI building blocks

  • Deep Dive: the right technology selection for specific business problems 
  • Deep Dive: Cognitive Process Modelling and its use for process optimization 
  • Learning occasions and learning procedures for AI in the process to be automated 
  • Process-relevant challenges of large language models 
  • Targeted use of AI building blocks 
Self-study phase
120 minutes
61419645
Module
6

Practical AI workflows for business process optimization

  • Decomposition of processes and their mapping with AI building blocks 
  • Interfaces to third-party systems 
  • Embedding the solution in overall processes 
  • Business case analysis  
  • Evaluation of complexity and effort 
  • Successfully managing automation projects: designing and evaluating AI workflows to optimize business processes 
  • Successfully managing automation projects: importance of interfaces, robustness, benefits of use cases  
Self-study phase
120 minutes
61419642
Module
6

Practical AI workflows for business process optimization

  • Decomposition of processes and their mapping with AI building blocks 
  • Interfaces to third-party systems 
  • Embedding the solution in overall processes 
  • Business case analysis  
  • Evaluation of complexity and effort 
  • Successfully managing automation projects: designing and evaluating AI workflows to optimize business processes 
  • Successfully managing automation projects: importance of interfaces, robustness, benefits of use cases  
Self-study phase
120 minutes
61419643
Module
6

Practical AI workflows for business process optimization

  • Decomposition of processes and their mapping with AI building blocks 
  • Interfaces to third-party systems 
  • Embedding the solution in overall processes 
  • Business case analysis  
  • Evaluation of complexity and effort 
  • Successfully managing automation projects: designing and evaluating AI workflows to optimize business processes 
  • Successfully managing automation projects: importance of interfaces, robustness, benefits of use cases  
Self-study phase
120 minutes
61419644
Module
6

Practical AI workflows for business process optimization

  • Decomposition of processes and their mapping with AI building blocks 
  • Interfaces to third-party systems 
  • Embedding the solution in overall processes 
  • Business case analysis  
  • Evaluation of complexity and effort 
  • Successfully managing automation projects: designing and evaluating AI workflows to optimize business processes 
  • Successfully managing automation projects: importance of interfaces, robustness, benefits of use cases  
Self-study phase
120 minutes
61419645
Module
7

Bringing AI automation projects to life

  • Realization of your own AI use case: from conception to implementation 
  • Identification of suitable data sources
  • Specification of business objectives
  • Development of an AI workflow 
  • Successfully managing automation projects: designing and implementing AI use cases independently 
  • Critically reflect on and iterate projects 
Webinar
180 minutes

Wednesday, 20.08.2025
09:00 am - 12:00 pm

61419642
Module
7

Bringing AI automation projects to life

  • Realization of your own AI use case: from conception to implementation 
  • Identification of suitable data sources
  • Specification of business objectives
  • Development of an AI workflow 
  • Successfully managing automation projects: designing and implementing AI use cases independently 
  • Critically reflect on and iterate projects 
Webinar
180 minutes

Wednesday, 22.10.2025
09:00 am - 12:00 pm

61419643
Module
7

Bringing AI automation projects to life

  • Realization of your own AI use case: from conception to implementation 
  • Identification of suitable data sources
  • Specification of business objectives
  • Development of an AI workflow 
  • Successfully managing automation projects: designing and implementing AI use cases independently 
  • Critically reflect on and iterate projects 
Webinar
180 minutes

Friday, 19.12.2025
09:00 am - 12:00 pm

61419644
Module
7

Bringing AI automation projects to life

  • Realization of your own AI use case: from conception to implementation 
  • Identification of suitable data sources
  • Specification of business objectives
  • Development of an AI workflow 
  • Successfully managing automation projects: designing and implementing AI use cases independently 
  • Critically reflect on and iterate projects 
Webinar
180 minutes

Wednesday, 04.03.2026
09:00 am - 12:00 pm

61419645

Course overview

Contents and course schedule

1. understanding AI use cases and strategic use case mapping

  • Strategic integration of AI in business processes
  • Methodology for AI use case identification, elaboration and planning 

  • Fundamentals of a sound data and automation strategy 

  • Creation of strategic use case maps 

  • Successfully managing automation projects: from the idea to planning 

2. framework conditions for autonomous solutions in business processes

  • Organizational and technical framework conditions for design and implementation  
  • Properties and meaning of data
  • The role of data privacy and IT architectures 

  • Identify suitable AI solutions for business processes 

3 AI theory and AI building blocks in practice

  • Transfer performance based on numerous case studies 
  • Successfully managing automation projects: the first steps in integrating AI into business processes  
  • the right choice of technology for specific business problems
  • Targeted use of AI building blocks 

4. independently tackle AI workflows for business process optimization

  • Process mapping using AI modules
  • Interfaces to third-party systems & embedding in the overall process
  • Business case analysis
  • Solution evaluation: benefits and robustness
  • Own AI use cases: from conception to implementation

 

This is how you learn in this course

This course offers you a digital blended concept that has been developed for part-time learning. With a time budget of 3-4 hours per week, you are sure to reach your goal. Alternatively, you can schedule the learning units flexibly. This is how you learn in this course:

Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material with videos, articles, interactive exercises, quizzes and learning checks.

Live webinars: In regular online seminars, you will meet the trainer in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.

Learning community: A digital learning community is available to you throughout the course. Exchange ideas with other participants and the trainer and clarify your questions.

Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.

Future Jobs Club: Get exclusive access to a business network, micro-learningssparks), news and future work hacks.

Certificate of attendance and Open Badge: As a graduate of the course, you will receive a certificate of attendance and an Open Badge, which you can easily share in professional networks (e.g. LinkedIn).