Training Information

• Training Method: Theory / IoT Application
• Duration: 1 Day
• Level: Beginner / Intermediate
• Participant Profile: Corporate Employees, Entrepreneurs, University Students, Individual Participants
• Prerequisite: Basic knowledge of IoT systems, Entry-level Python (required for hands-on exercises in face-to-face training)

Training Purpose

Industrial revolutions are transforming not only factories but also our lifestyles and professions. This training enables employees and future professionals to see the big picture behind concepts like "Smart Cities", "Internet of Things (IoT)", and "Robotics". Participants gain a vision to contribute innovative ideas to their organizations by analyzing how these technologies will reshape business models. Our goal is to cultivate forward-thinking individuals who anticipate and prepare for future technologies rather than passively observing change.

• Module 1: Anatomy of Intelligence and the Connected World
• Autonomy, Intelligence, and Human-Machine Collaboration
• Conceptual Depth: What does "Autonomy" really mean? Critical differences between automatic and autonomous systems.
• Robots and Humans: Definition and limits of intelligence. Combining human creativity with robotic precision.
• Main Topics in Robotics: The interplay of mechanics, electronics, and software. Principles of modern robots.
• Invisible Heroes: Hardware, Data, and IoT
• Hardware and Processing Power: GPU and TPU technologies that make AI possible. How sensors (Lidar, Radar, Camera) perceive the world.
• Data and Human Interaction: Data as the fuel for autonomous systems. Transforming data into meaningful decisions.
• Internet of Things (IoT): Concept of "Everything Connected". Evolution from early IoT devices to today's complex networks.
• Module 2: Industry Revolution and Smart Future
• The Future of Mobility: Autonomous Vehicles
• New Era in Automotive: Levels of autonomous driving (Level 1 to Level 5). How will this transformation affect us? Critical parameters when electric vehicles merge with autonomous technologies.
• Connected Vehicles (V2X): Vehicles communicating with each other and the entire traffic ecosystem. Ensuring a safe driving ecosystem.
• Data Security: Use of blockchain in automotive. Ensuring vehicle data security and transparency.
• Industry 4.0 and Operational Field Systems
• Cobots in Manufacturing: Collaborative robots working alongside humans and their effect on factory productivity.
• Digital Twin: Technology for simulating physical factories or devices virtually. Preventing errors before they happen.
• Autonomy in Every Aspect of Life
• Smart Cities: Self-managing cities from traffic to energy management, with global examples.
• Latest IoT Applications in Critical Sectors
• Two Practical IoT Exercises: Selected according to participant profiles and implemented through Python scripts in virtual IoT scenarios. (Only for face-to-face training)
• Final Discussion: Autonomous Systems and Ethics. "How should an autonomous vehicle decide in case of an accident?" The triangle of responsibility, law, and conscience.

Training Outcomes

• Technological Vision: Participants grasp how Industry 4.0 and autonomous systems work and understand the big picture.
• Sector Awareness: Participants learn smart applications across sectors from automotive to agriculture, energy to retail, and explore adaptation opportunities in their own work.
• Conceptual Mastery: Participants become familiar with terms frequently used in the future business world like IoT, Digital Twin, V2X, and Cobot.
• Ethical Perspective: Participants gain competence in evaluating technology not only technically but also socially and ethically.

Notes

• Theoretical explanations are supported with current videos and real-life use cases.
• Practical IoT exercises are only possible in face-to-face training.
• Participants receive a university-certified certificate at the end of the training.