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Artificial intelligence is fundamentally changing the industry by enabling automation, predictive analysis and better decision-making processes. However, the successful use of AI requires more than just theoretical knowledge - it is about identifying relevant use cases, finding suitable models, training them and deploying them successfully.
This workshop provides a practice-oriented approach to the development of AI-supported industrial applications. You will not only learn about real use cases, but also develop and implement your own AI models.
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Course Contents
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- Understanding of AI use cases in the industry
- Development of AI models for real use cases
- Hands-on: model training & deployment
- Practical AI development: tools & frameworks
- Development of AI use cases from scratch
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Target Group
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This course is aimed at anyone who wants to deepen their basic knowledge in the field of artificial intelligence in a practical way.
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Knowledge Prerequisites
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You must have programming knowledge and experience in Python as well as the knowledge from one of the following courses:
ChatGPT - Programming & Problem Solving with AI Support or The Era of Large Language Models - ChatGPT, Gemini, Llama & Co. or Machine Learning - Data Science and Artificial Intelligence.
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Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
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Hybrid training
- Hybrid training means that online participants can additionally attend a classroom course. The dynamics of a real seminar are maintained, and the online participants are able to benefit from that. Online participants of a hybrid course use a collaboration platform, such as WebEx Training Center or Saba Meeting. To do this, a PC with browser and Internet access is required, as well as a headset and ideally a Web cam. In the seminar room, we use specially developed and customized audio- and video-technologies. This makes sure that the communication between all persons involved works in a convenient and fault-free way.
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Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
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Tailor-made courses
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You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
You can find the complete description of this course with dates and prices ready for download at as PDF.-
Artificial intelligence is fundamentally changing the industry by enabling automation, predictive analysis and better decision-making processes. However, the successful use of AI requires more than just theoretical knowledge - it is about identifying relevant use cases, finding suitable models, training them and deploying them successfully.
This workshop provides a practice-oriented approach to the development of AI-supported industrial applications. You will not only learn about real use cases, but also develop and implement your own AI models.
-
Course Contents
-
- Understanding of AI use cases in the industry
- Development of AI models for real use cases
- Hands-on: model training & deployment
- Practical AI development: tools & frameworks
- Development of AI use cases from scratch
-
Target Group
-
This course is aimed at anyone who wants to deepen their basic knowledge in the field of artificial intelligence in a practical way.
-
Knowledge Prerequisites
-
You must have programming knowledge and experience in Python as well as the knowledge from one of the following courses:
ChatGPT - Programming & Problem Solving with AI Support or The Era of Large Language Models - ChatGPT, Gemini, Llama & Co. or Machine Learning - Data Science and Artificial Intelligence.
-
Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
-
Hybrid training
- Hybrid training means that online participants can additionally attend a classroom course. The dynamics of a real seminar are maintained, and the online participants are able to benefit from that. Online participants of a hybrid course use a collaboration platform, such as WebEx Training Center or Saba Meeting. To do this, a PC with browser and Internet access is required, as well as a headset and ideally a Web cam. In the seminar room, we use specially developed and customized audio- and video-technologies. This makes sure that the communication between all persons involved works in a convenient and fault-free way.
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
You can find the complete description of this course with dates and prices ready for download at as PDF.
Hybrid Training
Trainer language German