Predictive Maintenance Mastery

Online Course — Beginner to Intermediate

Predictive
Maintenance
Mastery

Stop reacting to equipment failures. Learn to predict them weeks in advance — and transform your maintenance program into a measurable competitive advantage.

Get Started Today View Curriculum

18–24 hours of structured content

6 core modules + bonus library

Real-world case studies & capstone project

Certificate of completion

10:1Average ROI within first two years

75%Reduction in equipment breakdowns

$200BAnnual savings potential (U.S. DoE)

40%Extension of asset service life

45%Less unplanned downtime

Who This Is For
Built for the people
who keep industry running

Whether you come from a hands-on maintenance background or a data analytics role — this course bridges the gap.

01
Maintenance Technicians

Move beyond reactive repairs. Gain the tools and language to interpret condition data and become your team's PdM champion.

02
Reliability Engineers

Deepen your condition monitoring expertise, build the business case for PdM investment, and design programs that deliver measurable ROI.

03
Operations Managers

Understand how predictive maintenance reduces unplanned downtime, protects production, and turns maintenance into a measurable value driver.

04
Data & Analytics Professionals

Apply machine learning skills to industrial IoT data. Understand the domain context needed to build models that maintenance teams will actually trust and use.

What You Will Learn
Seven skills that change
how you think about maintenance

01
Understand the complete spectrum of maintenance strategies and know exactly when predictive maintenance is — and isn't — the right answer.

02
Select and apply the right condition monitoring technology — vibration, thermal imaging, oil analysis, electrical monitoring — for any asset type.

03
Interpret sensor data — vibration spectra, thermal images, oil reports — to diagnose equipment faults before functional failure occurs.

04
Design data collection architectures and integrate condition monitoring with your CMMS for closed-loop maintenance workflows.

05
Apply introductory machine learning — anomaly detection, classification, and RUL estimation — to predict failures and schedule maintenance optimally.

06
Build and launch a pilot PdM program — from maturity assessment and asset prioritization through to ROI measurement and continuous improvement.

07
Calculate cost avoidance, present a compelling business case to leadership, and track KPIs that demonstrate program value over time.

08
Complete a capstone project designing a full PdM strategy for a real industrial scenario — a portfolio piece ready for your next role or client.

Course Curriculum
Six modules.
Complete program coverage.

18–24 hours of video lessons, quizzes, downloadable resources, hands-on exercises, and a capstone project.

01

Foundations of Maintenance Strategy

3 lessons · Beginner

Beginner

—The Maintenance Evolution — reactive, preventive, predictive & prescriptive

—Core Concepts & Terminology — MTBF, MTTR, OEE, the P-F Curve, criticality analysis

—When Predictive Maintenance Makes Sense — decision matrix & building the business case

02

Condition Monitoring Technologies

5 lessons · Beginner to Intermediate

Beginner+

—Vibration Analysis — frequency spectra, fault signatures & sensor selection

—Thermal Imaging — electrical & mechanical fault identification

—Oil & Fluid Analysis — wear debris patterns & sampling techniques

—Electrical Monitoring — MCSA, insulation testing & partial discharge

—Emerging Technologies — ultrasonic testing, acoustic emission & IIoT sensors

03

Data Collection & Management

3 lessons · Intermediate

Intermediate

—Sensor Selection & Placement — matching sensors to failure modes & sampling rates

—Data Infrastructure Basics — edge vs. cloud architectures & time-series databases

—CMMS Integration — alert workflows, asset hierarchies & closed-loop reporting

04

Introduction to Predictive Analytics

3 lessons · Intermediate

Intermediate

—From Data to Decisions — threshold alarming, trend analysis & statistical process control

—Introductory Machine Learning — anomaly detection & health state classification

—Remaining Useful Life Estimation — degradation models & uncertainty quantification

05

Building Your PdM Program

3 lessons · Intermediate

Intermediate

—Program Design Framework — maturity assessment, pilot selection & team roles

—Workflow & Processes — inspection routes, alert triage & escalation procedures

—Measuring Success — KPIs, cost avoidance calculation & continuous improvement

06

Case Studies & Practical Application

3 lessons + Capstone · Intermediate

Intermediate

—Rotating Machinery — pumps, motors, fans: full implementation walkthrough

—Fixed Equipment — heat exchangers & pressure vessels: performance-based monitoring

—Capstone Project — design a complete PdM strategy for a food processing plant

Bonus
Technology selection matrix · Vibration fault frequency cheat sheet · ROI calculator framework · CMMS integration checklist · Full industry glossary

Technologies Covered
The complete condition
monitoring toolkit

VA
Vibration Analysis

FFT spectra, bearing defect frequencies, fault signature interpretation for rotating machinery

IR
Thermal Imaging

Infrared thermography for electrical, mechanical, and refractory fault detection

OA
Oil Analysis

Particle counting, elemental spectroscopy, viscosity trending, and ferrography

EM
Electrical Monitoring

MCSA, insulation resistance, partial discharge, and power quality analysis

UT
Ultrasonic Testing

Leak detection, corona monitoring, and early bearing fault identification

ML
Machine Learning

Anomaly detection, classification algorithms, and remaining useful life models

IIoT
IIoT Sensors

Wireless sensor networks, edge computing, digital twins, and cloud integration

CMMS
CMMS Integration

Work order automation, asset hierarchies, alert workflows, and KPI dashboards

Enroll Today
One course.
Everything included.

No tiers, no upsells. One complete program with everything you need to go from beginner to confident PdM practitioner.

Predictive Maintenance Mastery
$ 499

One-time payment — lifetime access

Enroll Now

Everything that's included

All 6 modules — 18–24 hours of structured video content

Module quizzes, knowledge checks & hands-on exercises

Full bonus resource library — ROI calculator, tech selection matrix, CMMS integration checklist & glossary

Capstone project with instructor feedback (graded within 5 business days)

Certificate of Completion — digital & printable, LinkedIn-ready

3 months of monthly live Q&A sessions via Zoom (recorded)

Final certification exam — 85% pass threshold

Community forum access & peer review on capstone

Format Self-paced online — desktop & mobile

Duration 18–24 hours across 6 modules

Level Beginner to Intermediate — no prior PdM experience required

30-Day Money-Back Guarantee

If you complete the first module and don't feel this course is right for you, email us within 30 days for a full refund — no questions asked. We want you to enroll with complete confidence.

FAQ
Common questions answered

Do I need prior experience in predictive maintenance?

No prior PdM experience is required. The course begins at a foundational level and progresses to intermediate. Basic familiarity with industrial equipment and general computer literacy is recommended. For Module 4 (Predictive Analytics), optional Python or spreadsheet skills are helpful but not mandatory.

How long does the course take to complete?

Estimated completion time is 18–24 hours across the 6 core modules. Most learners complete the course in 4–8 weeks at their own pace. There are no deadlines — you study when it works for you.

What is the capstone project?

You'll design a complete PdM strategy for a mid-size food processing plant with a $75,000 pilot budget — covering asset prioritization, monitoring technology selection, data architecture, ROI projections, risk assessment, and a 12-month implementation timeline. Professional tier students receive instructor feedback within 5 business days.

Is this course relevant to my industry?

The principles apply across manufacturing, energy, oil & gas, chemical processing, utilities, food & beverage, mining, and any industry operating rotating or fixed equipment. Case studies draw from process industries, and the frameworks transfer to any asset-intensive operation.

Will I receive a certificate?

Professional and Enterprise tier students receive a Certificate of Completion upon passing the final exam (85% pass mark) and completing the capstone project. The certificate is available in digital and printable format and can be added to your LinkedIn profile.

How is the course delivered?

The course is hosted on Thinkific and delivered entirely online. Each module contains video lessons (10–15 minutes each), knowledge-check quizzes, downloadable resources, and hands-on exercises. Content is accessible on desktop and mobile. Live Q&A sessions are held monthly via Zoom and recorded for async viewing.

Start Learning Today
Your next equipment failure
is already detectable.
Are you ready to see it?

Join maintenance professionals who have shifted from reactive to predictive — and built programs that prove the value of maintenance to leadership.

Enroll Now Review the curriculum