Training Information

• Training Method: Theory / IoT Application
• Training Duration: 1 Day
• Level: Beginner / Intermediate
• Participant Profile: Corporate Employees, Entrepreneurs, University Students, Individual Participants
• Prerequisite: Basic knowledge of IoT Systems, Entry-level Python (Applicable for in-person training)

Training Objective

Industrial revolutions are transforming not only factories but also our way of life and professions. This training enables workers and future professionals to see the bigger picture behind concepts such as "Smart Cities," "Internet of Things (IoT)," and "Robotics." Participants gain the vision to contribute to their organizations with innovative ideas by analyzing how these technologies, shaping the world, will change business models. Our goal is to cultivate a visionary perspective that anticipates future technologies today, rather than just observing change from afar.

• Part 1: Anatomy of Intelligence and the Connected World
• Autonomy, Intelligence, and Human-Machine Collaboration
• Conceptual Depth: What exactly is "Autonomy"? The critical differences between automated and autonomous systems.
• Robot and Human: Defining intelligence and its limits. The combination of human creativity and robotic precision.
• Key Topics in Robotics: The dance of mechanics, electronics, and software. The working principles of modern robots.
• Invisible Heroes: Hardware, Data, and IoT
• Hardware and Processing Power: GPU and TPU technologies that enable AI. How sensors (Lidar, Radar, Camera) perceive the world.
• Data and Human Relationship: Data as the fuel for autonomous systems. The process of transforming data into meaningful decisions.
• Internet of Things (IoT): The concept of "Internet of Everything". Evolution from early IoT devices to today's complex networks.
• Part 2: Sectoral Revolution and Smart Future
• The Future of Mobility: Autonomous Vehicles
• The New Age in Automotive: Levels of autonomous driving (from Level 1 to Level 5 full autonomy). How will we be affected by this transformation? What critical parameters will emerge when electric vehicles combine with autonomous technologies?
• Connected Vehicles (V2X): How vehicles communicate with each other and the entire traffic ecosystem. Creating a safe driving ecosystem.
• Data Security: Blockchain usage in the automotive industry. Ensuring vehicle data security and transparency.
• Industry 4.0 and Operational Field Systems
• Robots in Manufacturing: "Collaborative Robots" working alongside humans and their impact on factory productivity.
• Digital Twin: Simulating a physical factory or device in a virtual environment. The art of preventing errors before they occur.
• Autonomy in Every Field of Life
• Smart Cities: Self-driving cities from traffic to energy management, with examples from around the world.
• Current IoT Applications in Critical Sectors
• 2 Practical IoT Applications: Case studies suitable for participants' profiles and virtual IoT applications via Python scripts. (Applicable for in-person 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 will understand the operational principles of Industry 4.0 and autonomous systems, seeing the big picture.
• Sectoral Awareness: Participants will learn about smart applications in various sectors and discover opportunities to adapt them to their own businesses.
• Conceptual Mastery: Participants will become familiar with terms like IoT, Digital Twin, V2X, and Cobot, which will be widely used in future business worlds.
• Ethical Perspective: Participants will gain the ability to evaluate technology from technical, social, and ethical dimensions.

Notes

• Theoretical presentations are supported by current videos and real-life scenarios (Use Cases).
• Practical IoT Applications: Only applicable for in-person training.
• At the end of the training, participants will receive a university-approved certificate.