Advanced predictive maintenance planning course

Design and manage predictive maintenance effectively

Each student develops a tailored predictive maintenance plan ready for implementation in their plant, calculates its return on investment, and learns to present it to their directors for approval.

Online sessions

3 live online sessions

Individual sessions

Unlimited individual sessions

In-person sessions

3 days of intensive in-person sessions

Follow-up sessions

6 months of follow-up sessions

Course objectives


Design a fully functional predictive maintenance plan ready for implementation.

Trend chart

Efficiently manage predictive maintenance tailored to the specific context of your company.


Maximize operational efficiency by applying condition monitoring technologies and predictive analysis.


Demonstrate cost and resource savings through predictive maintenance, translating it into financial terms.


Present your predictive maintenance plan for approval by your board of directors as an investment.

Planeo-PdM methodology


Asset inventory


Criticality analysis


Failure analysis


Technologies and frequency


Plan review and adjustment


Predictive maintenance roadmap

Maintenance plan

Start-up guarantee for learning

With the Learning by Doing teaching methodology and the Harvard Case Method, this training ensures a participative and practical learning experience, providing a direct benefit to the company.

Unlike other training programs where the student feels academically intimidated and the consultant is more focused on selling services, this approach is different.

The post-training sessions ensure the implementation of the predictive maintenance plan designed during the course.

Course content

Module 1: Introduction and welcome

Design a fully functional predictive maintenance plan ready for implementation.

Module 2: Asset inventory

Functional taxonomy, categorization and hierarchy, use of inventory templates, and asset cataloging.

Module 3: Criticality analysis

Evaluation criteria, estimation of inspection frequency, documentation of criticality.

Module 4: Failure analysis

Identification of predictable damage, selection of suitable technologies, recording of failures.

Module 5: Design of inspection routes

Route planning, adjustment of frequencies, documentation of the plan.

Module 6: PdM procedures and management

Definition of roles, management of reports and work orders, statistical failure analysis.

Module 7: Economic analysis of PdM

Calculation of ROI, procurement and supplier management, evaluation of outsourcing versus in-house.

Module 8: Final delivery of the plan and roadmap

Customization of the PdM plan, analysis of long-term investments.

Carlos torres

Course trainer and author

I am Carlos E. Torres, a mechanical engineer with a master's in mechatronics and a postgraduate degree from Harvard Business School. I have been a maintenance manager and have over 20 years of experience in predictive maintenance. Often, predictive maintenance plans are more intuitive than analytical and rarely committed to financial results. Since 2018, I have been teaching "Implementation of Predictive Maintenance" at PMM Business School, where my students learn to design plans for specific machinery—a learning revelation that shows them the potential of practical application.

The industrial reality is that many engineers fail to design their predictive maintenance plans after attending courses or hiring consultants. With Power-MI, we've proven that it's possible to create these plans in less than a month using agile methodologies. This led us to develop Planeo-PdM in 2022, an innovative methodology to facilitate both the design and effective implementation of predictive maintenance.

Bolstered by a series of successful projects, in 2024, we expanded our offerings with training material under the name "Advanced Planning for Predictive Maintenance."

Direct benefits of the course


Cost savings

Implementing this plan could save your company at least US$ 60,000 compared to hiring consultants.


Internal knowledge

Developed by in-house staff, the plan allows for continuous adjustments without relying on third parties, increasing the company's self-sufficiency.


Experience sharing

Benefit from collaborative learning by interacting with other industry professionals, enriching and optimizing plan implementation.


Technological innovation

The training ensures your company is at the forefront of implementing the latest condition monitoring technologies and methodologies.

Ready to transform your maintenance strategy?

Take the next step in maximizing your company's efficiency and cost savings with our Advanced Predictive Maintenance Planning course. Gain the skills and knowledge to implement a tailored maintenance plan, calculate ROI, and present it confidently to your directors.

Book a call now to find out more about how this course can benefit your organization.