Course Overview:
This course explores the integration of artificial intelligence (AI) technologies into advanced mechatronics systems, examining methods and applications that enhance the performance of intelligent systems. The course targets mechatronics as a field that combines mechanical engineering, electrical engineering, and software engineering, enabling participants to understand how to leverage AI to improve efficiency and flexibility in mechatronic systems.
Course Objectives:
• Understand the fundamental concepts of artificial intelligence and its applications in mechatronics.
• Learn how to develop intelligent mechatronic systems using machine learning techniques.
• Acquire the skills necessary to design and implement smart solutions based on artificial intelligence.
• Apply AI techniques to enhance the performance of mechatronic systems.
• Develop hands-on projects that integrate mechatronics with artificial intelligence.
Training Content:
• Introduction to Artificial Intelligence: Definitions of key concepts and technologies used in AI.
• Theoretical Foundations of Mechatronics: Overview of the components of mechatronic systems and their significance.
• Machine Learning: Study of machine learning algorithms and their applications in mechatronic systems.
• Data Analysis: Techniques for collecting and analyzing data from mechatronic systems to improve performance.
• Practical Applications: Hands-on projects aimed at developing intelligent systems utilizing AI in mechatronics.
Target Audience:
The course is designed for engineers and students in mechanical engineering, electrical engineering, software engineering, and specialists in mechatronics looking to expand their knowledge of artificial intelligence and its applications in their projects. It is also suitable for professionals working in innovation and development within mechatronic systems.
