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Machine Learning Engineer
- Brief historical and technical overview of AI/KI.
- Basic functionality of generative AI tools.
- Get to know different AI models and possible use cases.
- Prompt design and fine-tuning of inputs.
- Practical parts: Exercises for various applications.
- Create images, presentations, texts, songs and more.
- Opportunities and risks of AI.
- Tips & tricks from practice for practice.
In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.
In this practical workshop, you will gain an insight into the functionality and limitations of common AI models in practice.
- You will learn about specific use cases, usage, adaptation and optimization options.
- Recognize the opportunities, risks and alternatives of chatbots and AI tools
- You will practise specific use cases that can be used for different areas of application.
- You will learn how to formulate the right questions (prompt design) and how and when to use them to get the best possible benefit.
- You can transfer the findings to your use cases or recognize new use cases in a professional context.
trainer, exercises, use cases.
Please note the following information for this training event:
In principle, you can also take part in the training event without an AI account. Many attendees have free access to Microsoft Copilot with their business email address via their company's internal Microsoft Office license.
The use of other AI tools in our training event is voluntary. If you decide to create an account, please register on your own responsibility. To do so, you must accept the terms of use of the respective service. If you wish to use a business email address when registering, please discuss this in advance with your data protection officer.
We recommend that you do not enter any personal data or sensitive business data in AI tools before, during or after the training event .
This workshop is aimed at specialists and managers from a wide range of industries and business areas. No special prior knowledge or technical skills are required.
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