Course Overview:
This course provides an in-depth understanding of smart systems and their advanced applications in mechanical engineering. It focuses on introducing intelligent technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and machine learning, and demonstrates how to integrate these into mechanical systems to enhance performance, efficiency, and reliability in industrial and engineering operations. This course is ideal for professionals looking to advance their skills in modern technologies and apply them to optimize processes and maintenance.
Course Objectives:
- To provide a comprehensive understanding of smart systems and their applications in mechanical engineering.
- To train participants on how to integrate AI and IoT into system design for improved performance.
- To enable participants to develop maintenance strategies using predictive technologies and data analysis.
- To enhance skills in data handling and analysis to support decision-making in operations.
Training Content:
- Introduction to Smart Systems: Overview of smart systems and their role in mechanical engineering.
- Artificial Intelligence and Machine Learning: Basics of AI and its applications in optimizing system efficiency.
- Internet of Things (IoT): How to connect devices and networks for data collection and analysis.
- Predictive Data Analysis: Using predictive analytics tools for system maintenance and failure reduction.
- Smart Operation of Mechanical Systems: Building intelligent systems to operate mechanical processes efficiently.
- Practical Applications: Real-world examples of smart systems applied to industrial process improvement.
Target Audience:
This course is designed for engineers and technicians in the mechanical engineering field, project managers, maintenance specialists, and anyone interested in the application of smart technologies in industrial and mechanical engineering. It is also suitable for researchers and students in the fields of mechanical engineering and modern technology.
