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Artificial intelligence in business: potentials, use cases, value contributions
Course
1

Booking no:

36135

Artificial intelligence in business: potentials, use cases, value contributions

Find out what benefits artificial intelligence can contribute and which methods you can use to systematically determine fields of action in your organization. Under the guidance of an experienced trainer, you will work out how you can use AI to increase productivity in your company, which processes can be automated with AI and how you can use artificial intelligence to create measurable value in your products.

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

Date preview

Start date
Last module
Availability
Location
30.6.2025
30.7.2025
Fully booked
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implementation
Live-Online
8.7.2025
31.7.2025
Fully booked
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implementation
Live-Online
23.7.2025
20.8.2025
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implementation
Live-Online
5.8.2025
3.9.2025
Few places available
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implementation
Live-Online
1.10.2025
24.10.2025
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implementation
Live-Online
27.10.2025
19.11.2025
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implementation
Live-Online
19.11.2025
10.12.2025
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implementation
Live-Online
1.12.2025
17.12.2025
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implementation
Live-Online
7.1.2026
30.1.2026
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implementation
Live-Online
27.1.2026
25.2.2026
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implementation
Live-Online
19.2.2026
17.3.2026
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implementation
Live-Online
4.3.2026
27.3.2026
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implementation
Live-Online

Module overview

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

Kick-off and introduction with initial AI scenarios

After the presentation and an introduction to the course and master class process, the attendees collect initial scenarios for the use of AI from their own contexts. These are categorized together into the different variants of artificial intelligence and can be used as examples throughout the course. 

Webinar
120 minutes

Monday, 30.06.2025
09:00 am - 11:00 am

61420469
Module
1

Kick-off and introduction with initial AI scenarios

After the presentation and an introduction to the course and master class process, the attendees collect initial scenarios for the use of AI from their own contexts. These are categorized together into the different variants of artificial intelligence and can be used as examples throughout the course. 

Webinar
120 minutes

Tuesday, 08.07.2025
09:00 am - 11:00 am

61401416
Module
1

Kick-off and introduction with initial AI scenarios

After the presentation and an introduction to the course and master class process, the attendees collect initial scenarios for the use of AI from their own contexts. These are categorized together into the different variants of artificial intelligence and can be used as examples throughout the course. 

Webinar
120 minutes

Wednesday, 23.07.2025
09:00 am - 11:00 am

61401417
Module
1

Kick-off and introduction with initial AI scenarios

After the presentation and an introduction to the course and master class process, the attendees collect initial scenarios for the use of AI from their own contexts. These are categorized together into the different variants of artificial intelligence and can be used as examples throughout the course. 

Webinar
120 minutes

Tuesday, 05.08.2025
09:00 am - 11:00 am

61420470
Module
1

Kick-off and introduction with initial AI scenarios

After the presentation and an introduction to the course and master class process, the attendees collect initial scenarios for the use of AI from their own contexts. These are categorized together into the different variants of artificial intelligence and can be used as examples throughout the course. 

Webinar
120 minutes

Wednesday, October 1, 2025
9:00 a.m. - 11:00 a.m.

61433912
Module
1

Kick-off and introduction with initial AI scenarios

After the presentation and an introduction to the course and master class process, the attendees collect initial scenarios for the use of AI from their own contexts. These are categorized together into the different variants of artificial intelligence and can be used as examples throughout the course. 

Webinar
120 minutes

Monday, October 27, 2025
9:00 a.m. - 11:00 a.m.

61433913
Module
1

Kick-off and introduction with initial AI scenarios

After the presentation and an introduction to the course and master class process, the attendees collect initial scenarios for the use of AI from their own contexts. These are categorized together into the different variants of artificial intelligence and can be used as examples throughout the course. 

Webinar
120 minutes

Wednesday, 19.11.2025
09:00 am - 11:00 am

61433915
Module
1

Kick-off and introduction with initial AI scenarios

After the presentation and an introduction to the course and master class process, the attendees collect initial scenarios for the use of AI from their own contexts. These are categorized together into the different variants of artificial intelligence and can be used as examples throughout the course. 

Webinar
120 minutes

Monday, 01.12.2025
09:00 am - 11:00 am

61433916
Module
1

Kick-off and introduction with initial AI scenarios

After the presentation and an introduction to the course and master class process, the attendees collect initial scenarios for the use of AI from their own contexts. These are categorized together into the different variants of artificial intelligence and can be used as examples throughout the course. 

Webinar
120 minutes

Wednesday, 07.01.2026
09:00 am - 11:00 am

61433917
Module
1

Kick-off and introduction with initial AI scenarios

After the presentation and an introduction to the course and master class process, the attendees collect initial scenarios for the use of AI from their own contexts. These are categorized together into the different variants of artificial intelligence and can be used as examples throughout the course. 

Webinar
120 minutes

Tuesday, January 27, 2026
9:00 a.m. - 11:00 a.m.

61433919
Module
1

Kick-off and introduction with initial AI scenarios

After the presentation and an introduction to the course and master class process, the attendees collect initial scenarios for the use of AI from their own contexts. These are categorized together into the different variants of artificial intelligence and can be used as examples throughout the course. 

Webinar
120 minutes

Thursday, 19.02.2026
09:00 am - 11:00 am

61433920
Module
1

Kick-off and introduction with initial AI scenarios

After the presentation and an introduction to the course and master class process, the attendees collect initial scenarios for the use of AI from their own contexts. These are categorized together into the different variants of artificial intelligence and can be used as examples throughout the course. 

Webinar
120 minutes

Wednesday, 04.03.2026
09:00 am - 11:00 am

61433921
Module
2

AI basics for companies

  • What is artificial intelligence?
  • AI as the most important innovation for digital change
  • Relevance: What AI means for companies
  • Perspectives: What AI will achieve
  • Prerequisite: data and trust
  • Use data sources outside the organization
  • Effects: How AI is changing the rules
  • The future: what's next for AI
Self-study phase
180 minutes
61420469
Module
2

AI basics for companies

  • What is artificial intelligence?
  • AI as the most important innovation for digital change
  • Relevance: What AI means for companies
  • Perspectives: What AI will achieve
  • Prerequisite: data and trust
  • Use data sources outside the organization
  • Effects: How AI is changing the rules
  • The future: what's next for AI
Self-study phase
180 minutes
61401416
Module
2

AI basics for companies

  • What is artificial intelligence?
  • AI as the most important innovation for digital change
  • Relevance: What AI means for companies
  • Perspectives: What AI will achieve
  • Prerequisite: data and trust
  • Use data sources outside the organization
  • Effects: How AI is changing the rules
  • The future: what's next for AI
Self-study phase
180 minutes
61401417
Module
2

AI basics for companies

  • What is artificial intelligence?
  • AI as the most important innovation for digital change
  • Relevance: What AI means for companies
  • Perspectives: What AI will achieve
  • Prerequisite: data and trust
  • Use data sources outside the organization
  • Effects: How AI is changing the rules
  • The future: what's next for AI
Self-study phase
180 minutes
61420470
Module
2

AI basics for companies

  • What is artificial intelligence?
  • AI as the most important innovation for digital change
  • Relevance: What AI means for companies
  • Perspectives: What AI will achieve
  • Prerequisite: data and trust
  • Use data sources outside the organization
  • Effects: How AI is changing the rules
  • The future: what's next for AI
Self-study phase
180 minutes
61433912
Module
2

AI basics for companies

  • What is artificial intelligence?
  • AI as the most important innovation for digital change
  • Relevance: What AI means for companies
  • Perspectives: What AI will achieve
  • Prerequisite: data and trust
  • Use data sources outside the organization
  • Effects: How AI is changing the rules
  • The future: what's next for AI
Self-study phase
180 minutes
61433913
Module
2

AI basics for companies

  • What is artificial intelligence?
  • AI as the most important innovation for digital change
  • Relevance: What AI means for companies
  • Perspectives: What AI will achieve
  • Prerequisite: data and trust
  • Use data sources outside the organization
  • Effects: How AI is changing the rules
  • The future: what's next for AI
Self-study phase
180 minutes
61433915
Module
2

AI basics for companies

  • What is artificial intelligence?
  • AI as the most important innovation for digital change
  • Relevance: What AI means for companies
  • Perspectives: What AI will achieve
  • Prerequisite: data and trust
  • Use data sources outside the organization
  • Effects: How AI is changing the rules
  • The future: what's next for AI
Self-study phase
180 minutes
61433916
Module
2

AI basics for companies

  • What is artificial intelligence?
  • AI as the most important innovation for digital change
  • Relevance: What AI means for companies
  • Perspectives: What AI will achieve
  • Prerequisite: data and trust
  • Use data sources outside the organization
  • Effects: How AI is changing the rules
  • The future: what's next for AI
Self-study phase
180 minutes
61433917
Module
2

AI basics for companies

  • What is artificial intelligence?
  • AI as the most important innovation for digital change
  • Relevance: What AI means for companies
  • Perspectives: What AI will achieve
  • Prerequisite: data and trust
  • Use data sources outside the organization
  • Effects: How AI is changing the rules
  • The future: what's next for AI
Self-study phase
180 minutes
61433919
Module
2

AI basics for companies

  • What is artificial intelligence?
  • AI as the most important innovation for digital change
  • Relevance: What AI means for companies
  • Perspectives: What AI will achieve
  • Prerequisite: data and trust
  • Use data sources outside the organization
  • Effects: How AI is changing the rules
  • The future: what's next for AI
Self-study phase
180 minutes
61433920
Module
2

AI basics for companies

  • What is artificial intelligence?
  • AI as the most important innovation for digital change
  • Relevance: What AI means for companies
  • Perspectives: What AI will achieve
  • Prerequisite: data and trust
  • Use data sources outside the organization
  • Effects: How AI is changing the rules
  • The future: what's next for AI
Self-study phase
180 minutes
61433921
Module
3

AI technology explained in compact form

  • From the beginnings to today's LLMs
  • Principles of human learning
  • Learning methods in machine learning
  • Artificial neural networks (KNN)
  • Deep learning explained in a nutshell
  • Residual Networks (ResNet)
  • Convolutional Neural Networks (CNN)
  • Generative Adversarial Networks (GAN)
  • Recurrent Neural Networks (RNN)
Self-study phase
180 minutes
61420469
Module
3

AI technology explained in compact form

  • From the beginnings to today's LLMs
  • Principles of human learning
  • Learning methods in machine learning
  • Artificial neural networks (KNN)
  • Deep learning explained in a nutshell
  • Residual Networks (ResNet)
  • Convolutional Neural Networks (CNN)
  • Generative Adversarial Networks (GAN)
  • Recurrent Neural Networks (RNN)
Self-study phase
180 minutes
61401416
Module
3

AI technology explained in compact form

  • From the beginnings to today's LLMs
  • Principles of human learning
  • Learning methods in machine learning
  • Artificial neural networks (KNN)
  • Deep learning explained in a nutshell
  • Residual Networks (ResNet)
  • Convolutional Neural Networks (CNN)
  • Generative Adversarial Networks (GAN)
  • Recurrent Neural Networks (RNN)
Self-study phase
180 minutes
61401417
Module
3

AI technology explained in compact form

  • From the beginnings to today's LLMs
  • Principles of human learning
  • Learning methods in machine learning
  • Artificial neural networks (KNN)
  • Deep learning explained in a nutshell
  • Residual Networks (ResNet)
  • Convolutional Neural Networks (CNN)
  • Generative Adversarial Networks (GAN)
  • Recurrent Neural Networks (RNN)
Self-study phase
180 minutes
61420470
Module
3

AI technology explained in compact form

  • From the beginnings to today's LLMs
  • Principles of human learning
  • Learning methods in machine learning
  • Artificial neural networks (KNN)
  • Deep learning explained in a nutshell
  • Residual Networks (ResNet)
  • Convolutional Neural Networks (CNN)
  • Generative Adversarial Networks (GAN)
  • Recurrent Neural Networks (RNN)
Self-study phase
180 minutes
61433912
Module
3

AI technology explained in compact form

  • From the beginnings to today's LLMs
  • Principles of human learning
  • Learning methods in machine learning
  • Artificial neural networks (KNN)
  • Deep learning explained in a nutshell
  • Residual Networks (ResNet)
  • Convolutional Neural Networks (CNN)
  • Generative Adversarial Networks (GAN)
  • Recurrent Neural Networks (RNN)
Self-study phase
180 minutes
61433913
Module
3

AI technology explained in compact form

  • From the beginnings to today's LLMs
  • Principles of human learning
  • Learning methods in machine learning
  • Artificial neural networks (KNN)
  • Deep learning explained in a nutshell
  • Residual Networks (ResNet)
  • Convolutional Neural Networks (CNN)
  • Generative Adversarial Networks (GAN)
  • Recurrent Neural Networks (RNN)
Self-study phase
180 minutes
61433915
Module
3

AI technology explained in compact form

  • From the beginnings to today's LLMs
  • Principles of human learning
  • Learning methods in machine learning
  • Artificial neural networks (KNN)
  • Deep learning explained in a nutshell
  • Residual Networks (ResNet)
  • Convolutional Neural Networks (CNN)
  • Generative Adversarial Networks (GAN)
  • Recurrent Neural Networks (RNN)
Self-study phase
180 minutes
61433916
Module
3

AI technology explained in compact form

  • From the beginnings to today's LLMs
  • Principles of human learning
  • Learning methods in machine learning
  • Artificial neural networks (KNN)
  • Deep learning explained in a nutshell
  • Residual Networks (ResNet)
  • Convolutional Neural Networks (CNN)
  • Generative Adversarial Networks (GAN)
  • Recurrent Neural Networks (RNN)
Self-study phase
180 minutes
61433917
Module
3

AI technology explained in compact form

  • From the beginnings to today's LLMs
  • Principles of human learning
  • Learning methods in machine learning
  • Artificial neural networks (KNN)
  • Deep learning explained in a nutshell
  • Residual Networks (ResNet)
  • Convolutional Neural Networks (CNN)
  • Generative Adversarial Networks (GAN)
  • Recurrent Neural Networks (RNN)
Self-study phase
180 minutes
61433919
Module
3

AI technology explained in compact form

  • From the beginnings to today's LLMs
  • Principles of human learning
  • Learning methods in machine learning
  • Artificial neural networks (KNN)
  • Deep learning explained in a nutshell
  • Residual Networks (ResNet)
  • Convolutional Neural Networks (CNN)
  • Generative Adversarial Networks (GAN)
  • Recurrent Neural Networks (RNN)
Self-study phase
180 minutes
61433920
Module
3

AI technology explained in compact form

  • From the beginnings to today's LLMs
  • Principles of human learning
  • Learning methods in machine learning
  • Artificial neural networks (KNN)
  • Deep learning explained in a nutshell
  • Residual Networks (ResNet)
  • Convolutional Neural Networks (CNN)
  • Generative Adversarial Networks (GAN)
  • Recurrent Neural Networks (RNN)
Self-study phase
180 minutes
61433921
Module
4

The periodic table of artificial intelligence

  • Emotional and cognitive value contributions through AI
  • The relationship between humans and AI
  • The AI periodic system for companies
  • Group 1: "Assess"
  • Group 2: "Infer"
  • Group 3: "Respond"
Self-study phase
120 minutes
61420469
Module
4

The periodic table of artificial intelligence

  • Emotional and cognitive value contributions through AI
  • The relationship between humans and AI
  • The AI periodic system for companies
  • Group 1: "Assess"
  • Group 2: "Infer"
  • Group 3: "Respond"
Self-study phase
120 minutes
61401416
Module
4

The periodic table of artificial intelligence

  • Emotional and cognitive value contributions through AI
  • The relationship between humans and AI
  • The AI periodic system for companies
  • Group 1: "Assess"
  • Group 2: "Infer"
  • Group 3: "Respond"
Self-study phase
120 minutes
61401417
Module
4

The periodic table of artificial intelligence

  • Emotional and cognitive value contributions through AI
  • The relationship between humans and AI
  • The AI periodic system for companies
  • Group 1: "Assess"
  • Group 2: "Infer"
  • Group 3: "Respond"
Self-study phase
120 minutes
61420470
Module
4

The periodic table of artificial intelligence

  • Emotional and cognitive value contributions through AI
  • The relationship between humans and AI
  • The AI periodic system for companies
  • Group 1: "Assess"
  • Group 2: "Infer"
  • Group 3: "Respond"
Self-study phase
120 minutes
61433912
Module
4

The periodic table of artificial intelligence

  • Emotional and cognitive value contributions through AI
  • The relationship between humans and AI
  • The AI periodic system for companies
  • Group 1: "Assess"
  • Group 2: "Infer"
  • Group 3: "Respond"
Self-study phase
120 minutes
61433913
Module
4

The periodic table of artificial intelligence

  • Emotional and cognitive value contributions through AI
  • The relationship between humans and AI
  • The AI periodic system for companies
  • Group 1: "Assess"
  • Group 2: "Infer"
  • Group 3: "Respond"
Self-study phase
120 minutes
61433915
Module
4

The periodic table of artificial intelligence

  • Emotional and cognitive value contributions through AI
  • The relationship between humans and AI
  • The AI periodic system for companies
  • Group 1: "Assess"
  • Group 2: "Infer"
  • Group 3: "Respond"
Self-study phase
120 minutes
61433916
Module
4

The periodic table of artificial intelligence

  • Emotional and cognitive value contributions through AI
  • The relationship between humans and AI
  • The AI periodic system for companies
  • Group 1: "Assess"
  • Group 2: "Infer"
  • Group 3: "Respond"
Self-study phase
120 minutes
61433917
Module
4

The periodic table of artificial intelligence

  • Emotional and cognitive value contributions through AI
  • The relationship between humans and AI
  • The AI periodic system for companies
  • Group 1: "Assess"
  • Group 2: "Infer"
  • Group 3: "Respond"
Self-study phase
120 minutes
61433919
Module
4

The periodic table of artificial intelligence

  • Emotional and cognitive value contributions through AI
  • The relationship between humans and AI
  • The AI periodic system for companies
  • Group 1: "Assess"
  • Group 2: "Infer"
  • Group 3: "Respond"
Self-study phase
120 minutes
61433920
Module
4

The periodic table of artificial intelligence

  • Emotional and cognitive value contributions through AI
  • The relationship between humans and AI
  • The AI periodic system for companies
  • Group 1: "Assess"
  • Group 2: "Infer"
  • Group 3: "Respond"
Self-study phase
120 minutes
61433921
Module
5

Using artificial intelligence in practice

After reflecting on the content from the first self-study phases, the focus is on the concrete application of AI in a business context. Using the AI Project Canvas, attendees get to know a tool that they can use to describe their AI project in a structured and methodical way. The AI Project Canvas is a proven methodology for starting a new AI project, e.g. to get involved in stakeholders.

Webinar
180 min.

Tuesday, 15.07.2025
09:00 am - 12:00 pm

61420469
Module
5

Using artificial intelligence in practice

After reflecting on the content from the first self-study phases, the focus is on the concrete application of AI in a business context. Using the AI Project Canvas, attendees get to know a tool that they can use to describe their AI project in a structured and methodical way. The AI Project Canvas is a proven methodology for starting a new AI project, e.g. to get involved in stakeholders.

Webinar
180 min.

Tuesday, 22.07.2025
09:00 am - 12:00 pm

61401416
Module
5

Using artificial intelligence in practice

After reflecting on the content from the first self-study phases, the focus is on the concrete application of AI in a business context. Using the AI Project Canvas, attendees get to know a tool that they can use to describe their AI project in a structured and methodical way. The AI Project Canvas is a proven methodology for starting a new AI project, e.g. to get involved in stakeholders.

Webinar
180 min.

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

61401417
Module
5

Using artificial intelligence in practice

After reflecting on the content from the first self-study phases, the focus is on the concrete application of AI in a business context. Using the AI Project Canvas, attendees get to know a tool that they can use to describe their AI project in a structured and methodical way. The AI Project Canvas is a proven methodology for starting a new AI project, e.g. to get involved in stakeholders.

Webinar
180 min.

Tuesday, 19.08.2025
09:00 am - 12:00 pm

61420470
Module
5

Using artificial intelligence in practice

After reflecting on the content from the first self-study phases, the focus is on the concrete application of AI in a business context. Using the AI Project Canvas, attendees get to know a tool that they can use to describe their AI project in a structured and methodical way. The AI Project Canvas is a proven methodology for starting a new AI project, e.g. to get involved in stakeholders.

Webinar
180 min.

Wednesday, 15.10.2025
09:00 am - 12:00 pm

61433912
Module
5

Using artificial intelligence in practice

After reflecting on the content from the first self-study phases, the focus is on the concrete application of AI in a business context. Using the AI Project Canvas, attendees get to know a tool that they can use to describe their AI project in a structured and methodical way. The AI Project Canvas is a proven methodology for starting a new AI project, e.g. to get involved in stakeholders.

Webinar
180 min.

Friday, November 7, 2025
9:00 a.m. - 12:00 p.m.

61433913
Module
5

Using artificial intelligence in practice

After reflecting on the content from the first self-study phases, the focus is on the concrete application of AI in a business context. Using the AI Project Canvas, attendees get to know a tool that they can use to describe their AI project in a structured and methodical way. The AI Project Canvas is a proven methodology for starting a new AI project, e.g. to get involved in stakeholders.

Webinar
180 min.

Friday, 28.11.2025
09:00 am - 12:00 pm

61433915
Module
5

Using artificial intelligence in practice

After reflecting on the content from the first self-study phases, the focus is on the concrete application of AI in a business context. Using the AI Project Canvas, attendees get to know a tool that they can use to describe their AI project in a structured and methodical way. The AI Project Canvas is a proven methodology for starting a new AI project, e.g. to get involved in stakeholders.

Webinar
180 min.

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

61433916
Module
5

Using artificial intelligence in practice

After reflecting on the content from the first self-study phases, the focus is on the concrete application of AI in a business context. Using the AI Project Canvas, attendees get to know a tool that they can use to describe their AI project in a structured and methodical way. The AI Project Canvas is a proven methodology for starting a new AI project, e.g. to get involved in stakeholders.

Webinar
180 min.

Wednesday, 21.01.2026
09:00 am - 12:00 pm

61433917
Module
5

Using artificial intelligence in practice

After reflecting on the content from the first self-study phases, the focus is on the concrete application of AI in a business context. Using the AI Project Canvas, attendees get to know a tool that they can use to describe their AI project in a structured and methodical way. The AI Project Canvas is a proven methodology for starting a new AI project, e.g. to get involved in stakeholders.

Webinar
180 min.

Wednesday, 11.02.2026
09:00 am - 12:00 pm

61433919
Module
5

Using artificial intelligence in practice

After reflecting on the content from the first self-study phases, the focus is on the concrete application of AI in a business context. Using the AI Project Canvas, attendees get to know a tool that they can use to describe their AI project in a structured and methodical way. The AI Project Canvas is a proven methodology for starting a new AI project, e.g. to get involved in stakeholders.

Webinar
180 min.

Thursday, 05.03.2026
09:00 am - 12:00 pm

61433920
Module
5

Using artificial intelligence in practice

After reflecting on the content from the first self-study phases, the focus is on the concrete application of AI in a business context. Using the AI Project Canvas, attendees get to know a tool that they can use to describe their AI project in a structured and methodical way. The AI Project Canvas is a proven methodology for starting a new AI project, e.g. to get involved in stakeholders.

Webinar
180 min.

Wednesday, 18.03.2026
09:00 am - 12:00 pm

61433921
Module
6

AI fields of application in the company

 

  • Use of AI in various areas of the company 
  • Four fields of action for management 
  • Developing fields of application with the AI Project Canvas 
  • Understanding fields of application by example: 20 AI hacks 
  • creative services with AI 
  • Simplification and assistance through AI 
  • Using AI for analyses 
  • AI helps to avoid errors 
  • Using AI for forecasts 
  • Productive fields of application for AI 
  • How do employees benefit from AI?
Self-study phase
210 minutes
61420469
Module
6

AI fields of application in the company

 

  • Use of AI in various areas of the company 
  • Four fields of action for management 
  • Developing fields of application with the AI Project Canvas 
  • Understanding fields of application by example: 20 AI hacks 
  • creative services with AI 
  • Simplification and assistance through AI 
  • Using AI for analyses 
  • AI helps to avoid errors 
  • Using AI for forecasts 
  • Productive fields of application for AI 
  • How do employees benefit from AI?
Self-study phase
210 minutes
61401416
Module
6

AI fields of application in the company

 

  • Use of AI in various areas of the company 
  • Four fields of action for management 
  • Developing fields of application with the AI Project Canvas 
  • Understanding fields of application by example: 20 AI hacks 
  • creative services with AI 
  • Simplification and assistance through AI 
  • Using AI for analyses 
  • AI helps to avoid errors 
  • Using AI for forecasts 
  • Productive fields of application for AI 
  • How do employees benefit from AI?
Self-study phase
210 minutes
61401417
Module
6

AI fields of application in the company

 

  • Use of AI in various areas of the company 
  • Four fields of action for management 
  • Developing fields of application with the AI Project Canvas 
  • Understanding fields of application by example: 20 AI hacks 
  • creative services with AI 
  • Simplification and assistance through AI 
  • Using AI for analyses 
  • AI helps to avoid errors 
  • Using AI for forecasts 
  • Productive fields of application for AI 
  • How do employees benefit from AI?
Self-study phase
210 minutes
61420470
Module
6

AI fields of application in the company

 

  • Use of AI in various areas of the company 
  • Four fields of action for management 
  • Developing fields of application with the AI Project Canvas 
  • Understanding fields of application by example: 20 AI hacks 
  • creative services with AI 
  • Simplification and assistance through AI 
  • Using AI for analyses 
  • AI helps to avoid errors 
  • Using AI for forecasts 
  • Productive fields of application for AI 
  • How do employees benefit from AI?
Self-study phase
210 minutes
61433912
Module
6

AI fields of application in the company

 

  • Use of AI in various areas of the company 
  • Four fields of action for management 
  • Developing fields of application with the AI Project Canvas 
  • Understanding fields of application by example: 20 AI hacks 
  • creative services with AI 
  • Simplification and assistance through AI 
  • Using AI for analyses 
  • AI helps to avoid errors 
  • Using AI for forecasts 
  • Productive fields of application for AI 
  • How do employees benefit from AI?
Self-study phase
210 minutes
61433913
Module
6

AI fields of application in the company

 

  • Use of AI in various areas of the company 
  • Four fields of action for management 
  • Developing fields of application with the AI Project Canvas 
  • Understanding fields of application by example: 20 AI hacks 
  • creative services with AI 
  • Simplification and assistance through AI 
  • Using AI for analyses 
  • AI helps to avoid errors 
  • Using AI for forecasts 
  • Productive fields of application for AI 
  • How do employees benefit from AI?
Self-study phase
210 minutes
61433915
Module
6

AI fields of application in the company

 

  • Use of AI in various areas of the company 
  • Four fields of action for management 
  • Developing fields of application with the AI Project Canvas 
  • Understanding fields of application by example: 20 AI hacks 
  • creative services with AI 
  • Simplification and assistance through AI 
  • Using AI for analyses 
  • AI helps to avoid errors 
  • Using AI for forecasts 
  • Productive fields of application for AI 
  • How do employees benefit from AI?
Self-study phase
210 minutes
61433916
Module
6

AI fields of application in the company

 

  • Use of AI in various areas of the company 
  • Four fields of action for management 
  • Developing fields of application with the AI Project Canvas 
  • Understanding fields of application by example: 20 AI hacks 
  • creative services with AI 
  • Simplification and assistance through AI 
  • Using AI for analyses 
  • AI helps to avoid errors 
  • Using AI for forecasts 
  • Productive fields of application for AI 
  • How do employees benefit from AI?
Self-study phase
210 minutes
61433917
Module
6

AI fields of application in the company

 

  • Use of AI in various areas of the company 
  • Four fields of action for management 
  • Developing fields of application with the AI Project Canvas 
  • Understanding fields of application by example: 20 AI hacks 
  • creative services with AI 
  • Simplification and assistance through AI 
  • Using AI for analyses 
  • AI helps to avoid errors 
  • Using AI for forecasts 
  • Productive fields of application for AI 
  • How do employees benefit from AI?
Self-study phase
210 minutes
61433919
Module
6

AI fields of application in the company

 

  • Use of AI in various areas of the company 
  • Four fields of action for management 
  • Developing fields of application with the AI Project Canvas 
  • Understanding fields of application by example: 20 AI hacks 
  • creative services with AI 
  • Simplification and assistance through AI 
  • Using AI for analyses 
  • AI helps to avoid errors 
  • Using AI for forecasts 
  • Productive fields of application for AI 
  • How do employees benefit from AI?
Self-study phase
210 minutes
61433920
Module
6

AI fields of application in the company

 

  • Use of AI in various areas of the company 
  • Four fields of action for management 
  • Developing fields of application with the AI Project Canvas 
  • Understanding fields of application by example: 20 AI hacks 
  • creative services with AI 
  • Simplification and assistance through AI 
  • Using AI for analyses 
  • AI helps to avoid errors 
  • Using AI for forecasts 
  • Productive fields of application for AI 
  • How do employees benefit from AI?
Self-study phase
210 minutes
61433921
Module
7

What makes an AI project successful

  • Challenges in AI projects 
  • Why AI projects fail 
  • Special features of AI projects 
  • The AI trend radar: application and how it works 
  • The AI trend radar for financial service providers 
  • The AI trend radar for insurance companies 
  • The AI trend radar for healthcare companies 
  • Create the AI trend radar for your own industry 
  • Key learnings for the AI maturity path
Self-study phase
180 min.
61420469
Module
7

What makes an AI project successful

  • Challenges in AI projects 
  • Why AI projects fail 
  • Special features of AI projects 
  • The AI trend radar: application and how it works 
  • The AI trend radar for financial service providers 
  • The AI trend radar for insurance companies 
  • The AI trend radar for healthcare companies 
  • Create the AI trend radar for your own industry 
  • Key learnings for the AI maturity path
Self-study phase
180 min.
61401416
Module
7

What makes an AI project successful

  • Challenges in AI projects 
  • Why AI projects fail 
  • Special features of AI projects 
  • The AI trend radar: application and how it works 
  • The AI trend radar for financial service providers 
  • The AI trend radar for insurance companies 
  • The AI trend radar for healthcare companies 
  • Create the AI trend radar for your own industry 
  • Key learnings for the AI maturity path
Self-study phase
180 min.
61401417
Module
7

What makes an AI project successful

  • Challenges in AI projects 
  • Why AI projects fail 
  • Special features of AI projects 
  • The AI trend radar: application and how it works 
  • The AI trend radar for financial service providers 
  • The AI trend radar for insurance companies 
  • The AI trend radar for healthcare companies 
  • Create the AI trend radar for your own industry 
  • Key learnings for the AI maturity path
Self-study phase
180 min.
61420470
Module
7

What makes an AI project successful

  • Challenges in AI projects 
  • Why AI projects fail 
  • Special features of AI projects 
  • The AI trend radar: application and how it works 
  • The AI trend radar for financial service providers 
  • The AI trend radar for insurance companies 
  • The AI trend radar for healthcare companies 
  • Create the AI trend radar for your own industry 
  • Key learnings for the AI maturity path
Self-study phase
180 min.
61433912
Module
7

What makes an AI project successful

  • Challenges in AI projects 
  • Why AI projects fail 
  • Special features of AI projects 
  • The AI trend radar: application and how it works 
  • The AI trend radar for financial service providers 
  • The AI trend radar for insurance companies 
  • The AI trend radar for healthcare companies 
  • Create the AI trend radar for your own industry 
  • Key learnings for the AI maturity path
Self-study phase
180 min.
61433913
Module
7

What makes an AI project successful

  • Challenges in AI projects 
  • Why AI projects fail 
  • Special features of AI projects 
  • The AI trend radar: application and how it works 
  • The AI trend radar for financial service providers 
  • The AI trend radar for insurance companies 
  • The AI trend radar for healthcare companies 
  • Create the AI trend radar for your own industry 
  • Key learnings for the AI maturity path
Self-study phase
180 min.
61433915
Module
7

What makes an AI project successful

  • Challenges in AI projects 
  • Why AI projects fail 
  • Special features of AI projects 
  • The AI trend radar: application and how it works 
  • The AI trend radar for financial service providers 
  • The AI trend radar for insurance companies 
  • The AI trend radar for healthcare companies 
  • Create the AI trend radar for your own industry 
  • Key learnings for the AI maturity path
Self-study phase
180 min.
61433916
Module
7

What makes an AI project successful

  • Challenges in AI projects 
  • Why AI projects fail 
  • Special features of AI projects 
  • The AI trend radar: application and how it works 
  • The AI trend radar for financial service providers 
  • The AI trend radar for insurance companies 
  • The AI trend radar for healthcare companies 
  • Create the AI trend radar for your own industry 
  • Key learnings for the AI maturity path
Self-study phase
180 min.
61433917
Module
7

What makes an AI project successful

  • Challenges in AI projects 
  • Why AI projects fail 
  • Special features of AI projects 
  • The AI trend radar: application and how it works 
  • The AI trend radar for financial service providers 
  • The AI trend radar for insurance companies 
  • The AI trend radar for healthcare companies 
  • Create the AI trend radar for your own industry 
  • Key learnings for the AI maturity path
Self-study phase
180 min.
61433919
Module
7

What makes an AI project successful

  • Challenges in AI projects 
  • Why AI projects fail 
  • Special features of AI projects 
  • The AI trend radar: application and how it works 
  • The AI trend radar for financial service providers 
  • The AI trend radar for insurance companies 
  • The AI trend radar for healthcare companies 
  • Create the AI trend radar for your own industry 
  • Key learnings for the AI maturity path
Self-study phase
180 min.
61433920
Module
7

What makes an AI project successful

  • Challenges in AI projects 
  • Why AI projects fail 
  • Special features of AI projects 
  • The AI trend radar: application and how it works 
  • The AI trend radar for financial service providers 
  • The AI trend radar for insurance companies 
  • The AI trend radar for healthcare companies 
  • Create the AI trend radar for your own industry 
  • Key learnings for the AI maturity path
Self-study phase
180 min.
61433921
Module
8

Prepare individual AI projects

In the final live webinar - after reflecting on the self-study unit and answering open questions - the prepared AI Project Canvas is presented and discussed. The feedback from the attendees and the trainer prepares the attendees intensively for a possible implementation of their individual AI project.

Webinar
180 min.

Wednesday, 30.07.2025
09:00 am - 12:00 pm

61420469
Module
8

Prepare individual AI projects

In the final live webinar - after reflecting on the self-study unit and answering open questions - the prepared AI Project Canvas is presented and discussed. The feedback from the attendees and the trainer prepares the attendees intensively for a possible implementation of their individual AI project.

Webinar
180 min.

Thursday, 31.07.2025
09:00 am - 12:00 pm

61401416
Module
8

Prepare individual AI projects

In the final live webinar - after reflecting on the self-study unit and answering open questions - the prepared AI Project Canvas is presented and discussed. The feedback from the attendees and the trainer prepares the attendees intensively for a possible implementation of their individual AI project.

Webinar
180 min.

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

61401417
Module
8

Prepare individual AI projects

In the final live webinar - after reflecting on the self-study unit and answering open questions - the prepared AI Project Canvas is presented and discussed. The feedback from the attendees and the trainer prepares the attendees intensively for a possible implementation of their individual AI project.

Webinar
180 min.

Wednesday, 03.09.2025
09:00 am - 12:00 pm

61420470
Module
8

Prepare individual AI projects

In the final live webinar - after reflecting on the self-study unit and answering open questions - the prepared AI Project Canvas is presented and discussed. The feedback from the attendees and the trainer prepares the attendees intensively for a possible implementation of their individual AI project.

Webinar
180 min.

Friday, October 24, 2025
9:00 a.m. - 12:00 p.m.

61433912
Module
8

Prepare individual AI projects

In the final live webinar - after reflecting on the self-study unit and answering open questions - the prepared AI Project Canvas is presented and discussed. The feedback from the attendees and the trainer prepares the attendees intensively for a possible implementation of their individual AI project.

Webinar
180 min.

Wednesday, November 19, 2025
1:00 PM - 4:00 PM

61433913
Module
8

Prepare individual AI projects

In the final live webinar - after reflecting on the self-study unit and answering open questions - the prepared AI Project Canvas is presented and discussed. The feedback from the attendees and the trainer prepares the attendees intensively for a possible implementation of their individual AI project.

Webinar
180 min.

Wednesday, December 10, 2025
1:00 PM - 4:00 PM

61433915
Module
8

Prepare individual AI projects

In the final live webinar - after reflecting on the self-study unit and answering open questions - the prepared AI Project Canvas is presented and discussed. The feedback from the attendees and the trainer prepares the attendees intensively for a possible implementation of their individual AI project.

Webinar
180 min.

Wednesday, 17.12.2025
09:00 a.m. - 12:00 p.m.

61433916
Module
8

Prepare individual AI projects

In the final live webinar - after reflecting on the self-study unit and answering open questions - the prepared AI Project Canvas is presented and discussed. The feedback from the attendees and the trainer prepares the attendees intensively for a possible implementation of their individual AI project.

Webinar
180 min.

Friday, 30.01.2026
09:00 am - 12:00 pm

61433917
Module
8

Prepare individual AI projects

In the final live webinar - after reflecting on the self-study unit and answering open questions - the prepared AI Project Canvas is presented and discussed. The feedback from the attendees and the trainer prepares the attendees intensively for a possible implementation of their individual AI project.

Webinar
180 min.

Wednesday, February 25, 2026
9:00 a.m. - 12:00 p.m.

61433919
Module
8

Prepare individual AI projects

In the final live webinar - after reflecting on the self-study unit and answering open questions - the prepared AI Project Canvas is presented and discussed. The feedback from the attendees and the trainer prepares the attendees intensively for a possible implementation of their individual AI project.

Webinar
180 min.

Tuesday, March 17, 2026
9:00 a.m. - 12:00 p.m.

61433920
Module
8

Prepare individual AI projects

In the final live webinar - after reflecting on the self-study unit and answering open questions - the prepared AI Project Canvas is presented and discussed. The feedback from the attendees and the trainer prepares the attendees intensively for a possible implementation of their individual AI project.

Webinar
180 min.

Friday, 27.03.2026
09:00 am - 12:00 pm

61433921

Course overview

Contents and course schedule

1. basic AI knowledge for companies

  • What is artificial intelligence?
  • AI as the most important innovation for digital change
  • The future: what's next for AI

2 AI technology explained in compact form

  • View into the engine room
  • Learning methods in machine learning
  • Machine learning process
  • Deep learning - architectures for neural networks

3. the periodic table of artificial intelligence

  • Emotional and cognitive value contributions
  • Scenarios: The elements of AI in companies
  • How AI works - Asses, Infer, Respond

4 AI fields of application in companies

  • Fields of application using the example of AI hacks
  • Becoming an "intelligent company" with AI
  • Use of AI in corporate divisions
  • Business cases with the AI Project Canvas

5 The trend radar as an AI determination aid

  • The AI trend radar: application and how it works
  • The AI trend radar for banks and financial service providers
  • The AI trend radar for insurance companies
  • The AI trend radar for healthcare companies
  • Developing an AI trend radar for your own industry
  • Determine your own position and fields of action

This is how you learn in this course

This online course offers you a digital blended concept that has been developed for part-time learning. With a time budget of at least 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 the 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: Meet your trainers in person in regular online seminars. Get answers to your questions, specific help and instructions 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 trainers and clarify your questions.

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 and an Open Badge that you can easily share in professional networks (e.g. LinkedIn).