Select AI tools specifically and use them productively
Smart business with artificial intelligence: the path to the optimal tool decision
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Machine Learning Engineer
Orientation in the AI tool landscape
- Introduction to different categories of AI tools (e.g. text development, research, image/video creation).
- Get to know relevant tools such as ChatGPT, Gemini, Midjourney, Gamma DeepSeek, Claude, Sora & Co - based on concrete use cases.
- Develop criteria: How do you assess the quality, benefits and risks of the tools?
AI tools on the test bench: test, compare, evaluate
- Practical tests of selected tools on real tasks.
- Compare the results of different tools according to criteria such as increased efficiency or error reduction.
- Exchange in small groups: Sharing experiences and learning from each other.
Increasing efficiency in a practical test: rethinking your own tasks
- Development of individual roadmaps for tool integration into existing work processes.
- Which tasks are particularly suitable for the use of AI?
- Checklist for evaluating suitable tools.
- Definition of suitable implementation strategies in the team/company.
Safety net for AI applications: Identifying and minimizing risks
- Identification of typical risks such as biases or incorrect data interpretations.
- Clarifying data protection issues: How can I protect sensitive information?
- Create a catalog of measures:
- Reduction of potential sources of error.
- Ensuring internal security guidelines.
In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.
- Understand the basic functions of modern AI applications and confidently implement the first steps in dealing with them.
- Select relevant tools based on your professional requirements and evaluate their possible uses.
- Develop initial approaches for productive workflows and recognize efficiency potential.
- Identify typical risks and consider data protection-compliant measures.
- Create a clear plan to prepare for the use of AI technologies in your company.
- Interactive presentations with practical examples from various industries.
- Hands-on sessions for independent testing of the tools presented.
- Group work with digitally supported reflection methods.
- Individual creation of a roadmap for personal tool use in everyday working life.
Note
Many different tools will be introduced during the course. Active use of these tools is voluntary and not a prerequisite for participation. Access to an AI tool from your professional environment facilitates the practical exercises.
The training is aimed at managers from operational areas as well as IT managers, digitalization managers and project managers with a focus on efficient work processes. It is also particularly suitable for employees in data-driven roles such as analysts, marketing managers, product developers and controllers.
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