This comprehensive 2-day course is designed to equip participants with the knowledge and skills to implement Machine Learning (ML) and Artificial Intelligence (AI) for digital asset performance monitoring. Here’s why you should consider taking this course:

Course Outline:

• Introduction to Industrial Analytics Framework
• Theory and Concepts of Machine Learning and AI
• Practical Applications for Predictive Asset Performance and Risk Monitoring

What You Will Learn:

• Fundamentals of Machine Learning and AI: This course provides a solid foundation in ML and AI theories and concepts, which is essential for any advanced analytics initiative.
• Practical Applications: Learn how to effectively apply ML and AI technologies to monitor and predict asset performance, ensuring optimal operational efficiency.
• Building Intelligent Agents: Develop the ability to create intelligent agents that can track incipient faults, enhancing preventative maintenance strategies.
• Deploy and Manage Models: Acquire the skills to deploy and manage ML models in real-time production settings, ensuring seamless integration with existing systems.
• Visual Interpretation Techniques: Understanding visual techniques for interpreting model outputs will foster greater trust and adoption of AI solutions within your team.
• Importance of SME Feedback: Learn how Subject Matter Expert (SME) feedback is crucial in training and refining ML models to ensure accuracy and relevance.
• Developing an Asset Intelligence Roadmap: Gain insights into developing a strategic roadmap for implementing asset intelligence, guiding your organization towards smarter operations.

Course Details
Continuing Education Credits Included
Format: Public Course
Category: Ultrasound
Language: English

Member Rate: $895
Non-Member Rate: $995

Click Here for more information on the R&M Engineering Implementation Certificate Program.