• Generative KI in Action

Learn how to integrate generative AI into your daily work routine. We provide industry case studies as a guide and can tailor these to your specific sector upon request.

Objective: Write better prompts and use AI as a personal tool

• Challanges & Limitations

Understand the risks of AI, including hallucinations, data security issues, and high costs. Learn strategies for the responsible and effective use of AI.

Objective: Know when AI applications are not appropriate

• The Future of AI

Everyone is talking about AI. Like any technology, AI will reach its limits and stabilize for specific application scenarios. Benefit from our years of expertise!

Objective: Identify which application scenarios have a future

• Knowledge Management

In this module, we explore the fundamentals of knowledge management, including various data formats, databases, and transformation methods. You will learn how to efficiently store, organize, and prepare data for analysis.

Objective: Understand data structures, database technologies, and the execution of data cleansing and transformation processes.

• Data Analysis

In this module, we focus on advanced data analysis techniques, including clustering, data management, and model training. You will learn how to structure large datasets, identify patterns, and train models to make precise predictions.

Lernziel: Understand clustering algorithms, manage data pipelines, and optimize machine learning training processes.

• Analytical AI in Depth

The world of analytical AI encompasses techniques such as machine learning and clustering. You will learn how to analyze data and recognize patterns to make informed decisions.

Objective: Apply algorithms for data analysis and interpret the results

• Challenges & Limitations

Understand the risks of AI, including hallucinations, data security issues, and high costs. Learn strategies for the responsible and effective use of AI.

Objective: Know when AI applications are not appropriate

• Data Analysis

In this module, we focus on advanced data analysis techniques, including clustering, data management, and model training. You will learn how to structure large datasets, identify patterns, and train models to make precise predictions.

Objective: Understand clustering algorithms, manage data pipelines, and optimize machine learning training processes.

• Analytical AI in Depth

The world of analytical AI encompasses techniques such as machine learning and clustering. You will learn how to analyze data and recognize patterns to make informed decisions.

Objective: Apply algorithms for data analysis and interpret the results

• Beyond Generative AI

Generative AI can reach its limits, especially when it comes to precise data analysis or complex decision-making. However, there are solutions. Targeted use requires expertise and a clear strategy to achieve effective results.

Objective: Gain initial experience with combinatorial and analytical AI

• Application Development in Practice

In this module, you will learn how to develop your own AI applications. We introduce simple and effective methods to turn your ideas into functional applications. Discover how to use tools like PyTorch, Huggingface, and low-code platforms to accelerate the development process.

Objective: Understand the basics of application development, create prototypes, and implement AI models in real-world applications.