AI Manager

Description

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

The content is divided into clear, structured, and precise modules, enabling progressive advancement from basic concepts to advanced techniques and real-world application cases. It covers all relevant aspects needed to understand and successfully apply Artificial Intelligence. You will find detailed explanations on the classification of AI, machine learning methods, data analysis, natural language processing (NLP), Big Data, Internet of Things (IoT), and data visualization through intuitive diagrams. In addition, the book addresses specific and highly promising future areas such as TinyML, model implementation in microcontrollers, and AI optimization for Edge devices and IoT systems.

Critical aspects such as ethics and bias in AI systems are also addressed in detail, topics that are increasingly relevant and essential for modern professionals. You will learn how to detect and minimize biases, ensure transparency, safeguard data protection, and comply with current and future legal regulations.

The AI-Manager book covers core aspects of planning, implementation, management, and evaluation of AI projects in companies. It is an interdisciplinary work used as supporting material, didactic foundation, and even as required reading in numerous professions, university careers, and 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 variety of educational contexts. It is not only used to learn about Artificial Intelligence, but especially to show how it can be realistically and practically managed and implemented in companies—an aspect often neglected in current technical training, where management, leadership, and strategy are rarely addressed.

These are just some of the training programs where AI-Manager has been used to teach and learn Artificial Intelligence since the first edition was published in 2023:

• Industrial Management Technician: The book enables an understanding of how AI is transforming production, marketing, logistics, and accounting.
• IT Technician specialized in data and process analysis: AI-Manager conveys realistic application contexts of AI in business data.
• IT and Sales Systems Technician: AI-Manager helps students identify and sell smart IT solutions.
• Technical Systems Planner and Mechatronics Technician: The book is used here to understand AI in system control, predictive maintenance, robotics, and automation.
• Business Informatics (dual and traditional): The book is ideal as a complementary module or introduction to project management in the context of AI.
• Data Science: AI-Manager provides essential management perspectives for real-world projects, as well as clear explanations on AI, ML, and Big Data.
• Artificial Intelligence / AI: It is used as a theoretical and practical foundation from the very first semester.
• Business Administration (BWL / Business Administration): It is especially suitable for students focusing on innovation, digital transformation, or project management.

Attention, recommendation!

AI-Manager + AI the Homo digitalis + AI & Big Data + 10 Projects Series
These are the perfect combination to master AI at a professional level.