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Artificial intelligence is changing the world of work and offers new opportunities to become more efficient and productive. However, the creation and implementation of AI projects requires more than just theoretical knowledge. Use cases must not only be identified, but also implemented.
This AI workshop uses practical examples and exercises to teach how AI projects can be implemented. Several model projects will be discussed and created. Particular emphasis is placed on implementation, i.e. MLOps.
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Course Contents
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- MLOps
- Real-world examples
- Data-driven machine learning
- Fine-tuning AI models
- Best practices
- Predictive maintenance
- Classification with OCR and language models
- Automatic logging
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Target Group
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This AI training 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 need experience and programming skills in Python. You can acquire this, for example, in our courses Python for Data Science - Data Analysis and Insight Machine Learning or Python for Beginners - Introduction to Programming.
You can acquire basic knowledge of AI and machine learning in the course Using AI tools and LLMs successfully - ChatGPT, Gemini, Claude & Co. (with a focus on language models) or in the course Machine Learning - Data Science and Artificial Intelligence (with a greater focus on classic machine learning).
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Course Objective
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You will learn how to master projects with AI. You will be able to identify relevant use cases, assess the nature of the task and select the right AI approach. After attending the course, you will be able to design data-driven solutions for various areas of application.
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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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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 changing the world of work and offers new opportunities to become more efficient and productive. However, the creation and implementation of AI projects requires more than just theoretical knowledge. Use cases must not only be identified, but also implemented.
This AI workshop uses practical examples and exercises to teach how AI projects can be implemented. Several model projects will be discussed and created. Particular emphasis is placed on implementation, i.e. MLOps.
-
Course Contents
-
- MLOps
- Real-world examples
- Data-driven machine learning
- Fine-tuning AI models
- Best practices
- Predictive maintenance
- Classification with OCR and language models
- Automatic logging
-
Target Group
-
This AI training 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 need experience and programming skills in Python. You can acquire this, for example, in our courses Python for Data Science - Data Analysis and Insight Machine Learning or Python for Beginners - Introduction to Programming.
You can acquire basic knowledge of AI and machine learning in the course Using AI tools and LLMs successfully - ChatGPT, Gemini, Claude & Co. (with a focus on language models) or in the course Machine Learning - Data Science and Artificial Intelligence (with a greater focus on classic machine learning).
-
Course Objective
-
You will learn how to master projects with AI. You will be able to identify relevant use cases, assess the nature of the task and select the right AI approach. After attending the course, you will be able to design data-driven solutions for various areas of application.
-
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!
-
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.