Full course description
This course, presented in a "Train the Trainer" format, introduces participants to the applications of artificial intelligence within the manufacturing sector, covering essential AI techniques such as quality monitoring, predictive maintenance, and demand forecasting. The curriculum includes an overview of AI fundamentals, programming basics with Python, and the AI project cycle. Participants will learn how to handle data, including acquisition, storage, analysis, and ethical considerations, and explore various modeling techniques and their evaluation. The course also covers AI project deployment, computer vision, robotic process automation (RPA), edge inferencing, and demand forecasting, with a focus on practical applications and industry use cases. Ethical concerns in AI and the development of responsible AI are thoroughly discussed. Participants will engage in hands-on projects, developing and presenting AI solutions for manufacturing. The course culminates in building a personal profile and presenting an AI project to stakeholders, emphasizing real- world problem-solving and the practical application of AI techniques in the manufacturing sector.