Asset Management 4.0

In the current digital, virtual and linked world, we can easily improve physical assets management through data science. In this course, you’ll learn how to analyze operational and maintenance data from a variety of sources. You’ll examine asset-management processes and strategies and identify those most relevant to your organization. You’ll probe applications of machine learning and artificial intelligence, evaluate their suitability, and implement basic machine learning algorithms. You’ll finish the course while better prepared to lead your organization through the Industry 4.0 revolution.

This course has been designed for line managers responsible for the maintenance of machinery and equipment, reliability specialists who must recommend effective maintenance practices, asset managers responsible for organizations’ maintenance strategies, and plant managers who seek excellent and proven strategies that give them a competitive edge over their competitors. If your responsibilities or interests include any aspect of managing physical assets concerning Machine Learning, you can expect to gain a competitive edge with this exceptional learning opportunity.

By the end of this course, you will be able to:

• Describe the main components of Industry 4.0, their key benefits and drawbacks;
• Discern asset management processes and strategies, and identify those most relevant to your organization;
• Understand the concepts and the workings of various machine learning algorithms;
• Identify potential applications of machine learning in maintenance and reliability problems; and
• Evaluate the suitability of different machine learning algorithms suitability for a variety of applications.