In this video, I provide a brief description of AI and Machine Learning (ML) followed by a description of a popular use case for ML in the manufacturing industry: predictive maintenance. I then provide a basic explanation of the basis of ML and explore the key phases of the ML workflow as is typically applied in a real life project. Finally, I walk through these various phases in a ML project involving a real life data set from the particular domain use case of predictive maintenance. The key part of this presentation is the Demo ML workflow at the end Timestamps 0:54 - AI / ML in general 5:45 - Predictive maintenance use case 12:02 - ML Basics 20:06 - ML Workflow 32:06 - Demo ML Workflow on real life predictive maintenance data set DreamCatcher Professional Training: