Machine Learning and Artificial Intelligence Applications 302

Machine Learning and Artificial Intelligence Applications 302 discusses strategies for applying machine learning (ML) and artificial intelligence (AI) capabilities to various manufacturing processes. ML algorithms can help improve manufacturing processes throughout a product’s lifecycle, including monitoring raw material use, optimizing production processes and supply chain logistics, and improving the product delivery and service for end users. Manufacturers can use machine learning libraries to gain valuable insights from data. Developing ML models requires the use of a programming language, such as Python, and an understanding of data analysis. Leveraging ML and AI can also vastly improve the quality of manufactured products. After taking this course, users will understand how computing devices can utilize machine learning models and how machine learning capabilities can be integrated into AI systems to automate a variety of manufacturing tasks and operations.