AI-Manager is currently used at universities, colleges, academies, and private educational institutions in Germany, Austria, Switzerland, Spain, and Latin America.

This revised 2025 edition builds on the success of the first edition and offers an even clearer structure as well as optimized content. The material is divided into clearly structured, precise modules that allow for step-by-step progress from the basics to advanced techniques and real-world applications. It covers all relevant aspects necessary to understand and successfully apply Artificial Intelligence. You will find detailed explanations on AI classification, machine learning methods, data analysis, natural language processing (NLP), Big Data, Internet of Things (IoT), and data visualization using intuitive diagrams. In addition, the book addresses forward-looking specialized fields such as TinyML, implementing models on microcontrollers, and optimizing AI for edge devices and IoT systems.

Critical topics such as ethics and bias in AI systems are also discussed in detail – aspects that are becoming increasingly important for modern professionals. You will learn how to identify and mitigate bias, ensure transparency, safeguard data privacy, and comply with current and future legal requirements.

The book AI-Manager covers key aspects of planning, implementing, controlling, and evaluating AI projects in companies. It is an interdisciplinary work that can be used as supplementary material, a didactic foundation, or even required reading in numerous professions, study programs, as well as in continuing education and specialization courses. AI-Manager is an extremely valuable tool for both technical and non-technical profiles and can be integrated into a wide range of educational contexts. It not only teaches Artificial Intelligence but also shows how it can be realistically managed and implemented in companies – an aspect often neglected in many technical training programs where management, leadership, and strategy are rarely addressed.

These are just some of the training and educational programs in which AI-Manager has been used since the publication of the first edition in 2023 to teach and learn AI:

• Industrial Clerk: The book provides an understanding of how AI transforms production, marketing, logistics, and accounting.
• IT Specialist for Data and Process Analysis: AI-Manager conveys realistic application contexts of AI in corporate data.
• IT Systems Management Clerk: AI-Manager supports learners in recognizing and selling intelligent IT solutions.
• Technical System Planner and Mechatronics Technician: The book is used to understand AI in system control, predictive maintenance, robotics, and automation.
• Business Informatics (dual and traditional): The book is ideally suited as a supplementary module or an introduction to project management in the AI context.
• Data Science: AI-Manager provides essential management perspectives for real projects as well as clear explanations of AI, ML, and Big Data.
• Artificial Intelligence / AI: Used as a theoretical and practical foundation starting from the first semester.
• Business Administration (BWL): Particularly suitable for students focusing on innovation, digital transformation, or project management.

Note, recommendation!

AI-Manager + AI the Homo digitalis + AI & Big Data + 10 Projects Series
are the perfect combination to professionally master AI.

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