The American Society of Quality (ASQ) can designate you a Certified Reliability Engineer (CRE)

All you need to do is combine your career experience with the expertise you gain from this course to pass the CRE Exam


  • Virtual (synchronous) delivery

  • Video lessons recorded with 12 month access

  • Downloadable INTERACTIVE PDF workbook

  • Includes ONE on ONE interaction with instructor

  • Can be delivered specifically to your ORGANIZATION

  • Scope for TAILORING content 


The 40-hour Certified Reliability Engineering (CRE) Exam Preparation Course prepares its students to pass the American Society of Quality’s (ASQ’s) Certified Reliability Engineer (CRE) Exam for the purpose of achieving ‘certified’ status in the domain of reliability engineering. The CRE Preparation Course covers ASQ’s ‘5 bodies of knowledge (BOKs)’ that include:

reliability fundamentals;

risk management;

probability and statistics for reliability;

reliability planning, testing and modelling; and

lifecycle reliability.

The course if focused on execution of reliability activities that you will encounter in the exam. This includes covering common reliability engineering definitions, reliability goal specification, introducing Failure Mode and Effects Analyses (FMEAs), reliability allocation, system reliability modelling, common continuous probability distributions (exponential, normal, lognormal and Weibull distributions), common discrete probability distributions (binomial and Poisson distributions) Design of Experiments (DoE), probability plotting, Root Cause Analysis (RCA) and Failure Reporting and Corrective Action Systems (FRACAS).

The CRE Preparation Course follows the product lifecycle where activities are introduced in accordance with their sequence throughout product development.

This course necessarily covers a wide range of areas and topics. Our 40-hour Reliability Engineering Course includes many of the topics in this CRE Exam Preparation Course, but focuses more on how you implement these activities as part of an organizational reliability program.


The course is broken down into 10 modules. Each module is made up of 4 x 1-hour lessons delivered over a period of two weeks. But don't forget ... you will have access to the recorded lessons for 12 months.

The fundamental aim is to introduce students to reliability engineering. This is only the start of your reliability and RAM learning process, but you will be able to go back to your workplaces armed with the ability to understand the value of reliability and how it helps your business. Which makes you a better engineer.

Module #1 - Why is reliability valuable to you? ... where we make the case for reliability and tie it to value metrics that matter for not only you, but your team or organization.

Module #2 - What is reliability? … to your organization? ... where we talk about reliability and randomness, common reliability metrics, methods for making reliabiility happen and how you go about setting reliability goals or specifications.

Module #3 - How do we stop failure happening? ... where we examine causality and how it allows us to understand what needs to happen for failure to occur, how activities like Failure Mode and Effects Analyses (FMEAs) can use this information to prvent failures, and how all of this relates to risk.

Module #4 - How do you CREATE reliability? ... where we teach you how to allocate goals to your different design teams or suppliers becore the go about 'smart design' which includes 'fault tolerance,' along with how we model the reliability of our products, systems or services.

Module #5 - How do you analyze reliability performance? ... where we go over basic math, probability, statistics - and how we use this to describe the nature of random phenomena (like failure).

Module #6 - How do we describe (random) failure? ... where we teach you what 'probability distributions' are, along with commonly used ones like the exponential, normal, lognormal and Weibull distributions.


Module #7 - How do our components fail? ... where we teach how you model reliability (and failure) and use data gathered from sources like testing to infer information about key reliability metrics

Module #8 - Studying failure ... where we talk aobut how you go about creating data (sample size determination and use tools like Root Cause Analysis (RCA), Failure Reporting and Corrective Action Systems (FRACAS), Design of Experiments (DoE) and Probability plotting


Module #9 - Understanding data ... where we teach you about how you gain confidence in our conclusions (and use cool techniques like Bayesian analysis) to inform things like manufacturing and maintenace

Module #10 - How do we keep our things working? ... where we teach you how to optimize maintenance and create logistics systems to support your products, systems or services (and we focus on passing the CRE Exam)


We have more more stuff for you below if you need a more formal understanding of how this course can help you.