
Reliability Training Course
Master the full spectrum of reliability engineering — from failure analysis and statistical modelling to FMEA, fault tree analysis, and maintenance strategy. This course gives engineers and reliability professionals the tools to reduce failures, extend product life, and build systems that perform when it matters most.
What your team will master:
This course covers the core disciplines of reliability engineering in a structured, practical sequence. You will learn how to define and measure reliability using metrics like MTBF, MTTF, and availability, and how to apply statistical distributions and Weibull analysis to real failure data. You will develop hands-on skills in FMEA, fault tree analysis, and reliability block diagrams to identify and eliminate design risks. The curriculum also covers accelerated life testing, reliability demonstration testing, and how to build and manage a reliability programme across an organisation. By the end, you will be equipped to reduce field failures, optimise maintenance programmes, and communicate reliability results to both technical teams and leadership.
How your team learns practically Reliability Training Course
How your team practises Reliability Training Course
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Course content
8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Reliability Engineering
Foundations of Reliability Engineering
Lesson 1 • Probability Concepts for Reliability
Covers probability theory essentials applied to failure prediction. Equips learners to interpret reliability functions and survival curves.
Lesson 2 • Core Reliability Metrics and Terminology
Introduces MTTF, MTBF, MTTR, and availability as standard measures. Provides the vocabulary needed for all subsequent reliability analysis.
Lesson 3 • The Bathtub Curve and Failure Phases
Explains the three-phase failure lifecycle: infant mortality, useful life, and wear-out. Links each phase to appropriate engineering responses.
Lesson 4 • Defining Reliability and Its Importance
Establishes the formal definition of reliability and its business impact. Connects product performance expectations to measurable dependability outcomes.
Lesson 5 • Reliability Standards and Frameworks
Surveys industry reliability standards and their functional requirements. Prepares learners to align engineering work with regulatory and customer expectations.
Chapter 2HideHide detailsSee detailsFailure Analysis Fundamentals
Failure Analysis Fundamentals
Lesson 1 • Physical Failure Analysis Techniques
Introduces laboratory and field methods for examining failed components. Bridges physical evidence to analytical conclusions.
Lesson 2 • Corrective and Preventive Action Planning
Translates root cause findings into structured corrective actions. Ensures failures drive measurable improvements rather than temporary fixes.
Lesson 3 • Failure Modes and Their Classification
Defines failure modes and establishes a taxonomy for categorizing them. Provides the classification structure used throughout failure analysis workflows.
Lesson 4 • Failure Reporting and Data Collection
Establishes processes for capturing and organising failure data systematically. Feeds accurate data into reliability databases for trend analysis.
Lesson 5 • Root Cause Analysis Methods
Teaches structured techniques for tracing failures to their origin. Connects causal analysis to corrective action planning.
Chapter 3HideHide detailsSee detailsReliability Statistics and Data Analysis
Reliability Statistics and Data Analysis
Lesson 1 • Life Data Analysis and Weibull Analysis
Teaches Weibull plotting and parameter estimation from field and test data. Enables life prediction and failure probability estimation.
Lesson 2 • Reliability Data Visualization
Develops skills for graphically representing reliability data to support decisions. Connects visual outputs to engineering and management communication.
Lesson 3 • Reliability Prediction from Field Data
Uses historical field data to project future reliability performance. Connects statistical outputs to warranty forecasting and maintenance planning.
Lesson 4 • Hypothesis Testing for Reliability
Applies statistical hypothesis testing to compare reliability between designs or populations. Supports data-driven decisions on design changes and supplier qualification.
Lesson 5 • Statistical Distributions in Reliability
Covers exponential, Weibull, normal, and lognormal distributions and their reliability applications. Builds the statistical foundation for life data analysis.
Chapter 4HideHide detailsSee detailsReliability Design and FMEA
Reliability Design and FMEA
Lesson 1 • Design for Reliability Best Practices
Applies proven design principles to maximise inherent reliability. Connects design decisions to long-term field performance outcomes.
Lesson 2 • Reliability Requirements and Allocation
Translates system-level reliability goals into component-level requirements. Establishes the design targets that guide all subsequent reliability engineering work.
Lesson 3 • Process FMEA for Manufacturing
Extends FMEA methodology to manufacturing and assembly processes. Identifies process-induced failure risks before production begins.
Lesson 4 • Design FMEA Process and Structure
Teaches the full Design FMEA workflow from scope definition to risk ranking. Provides the analytical backbone for proactive failure prevention in design.
Lesson 5 • Reliability Block Diagrams
Models system reliability using block diagram structures for series, parallel, and complex configurations. Quantifies system reliability from component-level data.
Chapter 5HideHide detailsSee detailsReliability Testing and Verification
Reliability Testing and Verification
Lesson 1 • Accelerated Life Testing Methods
Teaches methods for compressing product life into shorter test durations using elevated stresses. Enables early detection of wear-out and failure mechanisms.
Lesson 2 • Environmental and Stress Testing
Covers testing under temperature, vibration, humidity, and combined environments. Validates product robustness against real-world operating conditions.
Lesson 3 • Analysing and Reporting Test Results
Converts raw test data into reliability estimates and engineering decisions. Closes the loop between testing and design improvement actions.
Lesson 4 • Reliability Test Planning Fundamentals
Establishes the principles for designing statistically valid reliability test programmes. Connects test objectives to sample sizes, durations, and acceptance criteria.
Lesson 5 • Reliability Demonstration Testing
Applies statistical methods to demonstrate that reliability meets specified targets. Provides the evidence base for design release and customer acceptance.
Chapter 6HideHide detailsSee detailsSystem Reliability and Fault Tree Analysis
System Reliability and Fault Tree Analysis
Lesson 1 • Common Cause and Dependent Failures
Addresses failures that affect multiple components simultaneously, defeating redundancy. Teaches modelling and mitigation of common cause failure in system design.
Lesson 2 • Quantitative Fault Tree Analysis
Applies probability calculations to fault trees to estimate top event likelihood. Connects quantitative results to risk acceptance criteria.
Lesson 3 • Event Tree Analysis
Models system response to initiating events using event tree logic. Complements fault tree analysis for comprehensive risk assessment.
Lesson 4 • System Reliability Modelling Concepts
Introduces system-level reliability modelling beyond component analysis. Establishes the conceptual bridge between component data and system performance prediction.
Lesson 5 • Fault Tree Analysis Construction
Teaches the step-by-step process of building fault trees from top-level undesired events. Develops skill in logic gate selection and event decomposition.
Chapter 7HideHide detailsSee detailsMaintenance Strategy and Reliability-Centred Maintenance
Maintenance Strategy and Reliability-Centred Maintenance
Lesson 1 • Reliability-Centred Maintenance Process
Walks through the seven-question RCM process for systematic maintenance task selection. Produces a defensible, function-based maintenance programme.
Lesson 2 • Predictive Maintenance Technologies
Surveys sensor-based and analytical tools used to detect impending failures. Connects technology selection to failure mode characteristics and detection lead time.
Lesson 3 • Maintenance Task Interval Optimisation
Applies statistical and cost models to determine optimal maintenance intervals. Balances failure risk against maintenance resource expenditure.
Lesson 4 • Maintenance Strategy Fundamentals
Compares corrective, preventive, and predictive maintenance strategies and their tradeoffs. Establishes the decision framework for maintenance type selection.
Lesson 5 • Maintenance Programme Effectiveness Measurement
Defines KPIs and audit methods for evaluating maintenance programme performance. Drives continuous improvement through data-based programme reviews.
Chapter 8HideHide detailsSee detailsReliability Programme Management and Continuous Improvement
Reliability Programme Management and Continuous Improvement
Lesson 1 • Building a Reliability Culture
Addresses the organisational and behavioural factors that sustain long-term reliability excellence. Equips leaders to champion reliability as a core business value.
Lesson 2 • Reliability Growth Programmes
Applies reliability growth models to track and accelerate improvement during development. Quantifies progress toward reliability targets using test-analyse-fix cycles.
Lesson 3 • Field Reliability Monitoring and Feedback
Establishes systems for capturing and analysing in-service reliability data. Closes the loop between field performance and design or maintenance improvements.
Lesson 4 • Reliability Programme Planning
Defines the scope, objectives, and deliverables of a formal reliability programme. Aligns reliability activities with product development milestones and business goals.
Lesson 5 • Cross-Functional Reliability Integration
Embeds reliability activities into design, manufacturing, and service functions. Breaks down organisational silos that undermine reliability outcomes.
Your valid completion certificate
This course is for you:
Mechanical engineers ready to specialise in product dependability and longevity.
Quality engineers wishing to expand their scope into reliability disciplines.
Maintenance managers seeking data-driven frameworks for equipment uptime decisions.
Systems engineers working on safety-critical or high-availability product designs.
Early-career engineers building a structured foundation in reliability principles.
Manufacturing engineers aiming to reduce production-induced field failures systematically.
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