
Computer System Validation Course
Master the full lifecycle of Computerized Systems Validation — from regulatory foundations and risk assessment to cloud-based systems and inspection readiness. This course equips quality, IT, and compliance professionals with the practical skills to build, execute, and maintain compliant validation programs. Stay audit-ready and protect product quality at every stage.
What you will learn:
This course covers every phase of computerized systems validation, starting with regulatory requirements and the V-model lifecycle, then moving through risk-based scoping, documentation, and qualification protocols. You will learn to write User Requirements Specifications, build traceability matrices, and execute IQ, OQ, PQ, and UAT protocols. Data integrity principles under ALCOA+ are addressed in depth, along with audit trail configuration and electronic records management. You will also gain practical skills in change control, revalidation, cloud and SaaS validation, and inspection readiness. Advanced topics include Agile and DevOps integration, validation metrics, and emerging technologies such as AI and IoT in regulated environments.
How you study in a practical way Computer System Validation Course
How you practice Computer System Validation Course
For companies who want to train their team
With Dedika for businesses, the course includes exercises and examples tailored to your own business and the way your company needs.
Course content
8 Chapters • 36 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Computerized Systems Validation
Foundations of Computerized Systems Validation
Lesson 1 • The Validation Lifecycle Model
Introduces the V-model and lifecycle phases from concept to retirement. Frames all subsequent chapters within a structured development and validation process.
Lesson 2 • Regulatory Drivers for Validation
Covers the global regulatory expectations that mandate computerized system validation. Connects compliance obligations to real-world quality and patient safety outcomes.
Lesson 3 • Categories of Computerized Systems
Classifies systems by function, complexity, and regulatory impact. Enables students to identify which validation approach applies to a given system.
Lesson 4 • Core Validation Concepts and Terminology
Defines essential vocabulary including validation, verification, qualification, and traceability. Provides a shared language used throughout the entire course.
Chapter 2HideHide detailsSee detailsRisk-Based Approach to Validation
Risk-Based Approach to Validation
Lesson 1 • Defining Validation Scope Through Risk
Translates risk assessment results into validation scope decisions and test coverage. Prevents over- or under-validation by anchoring scope to documented risk.
Lesson 2 • Risk Assessment Techniques
Covers FMEA, risk ranking, and impact assessment tools applied to system functions. Students select and apply the appropriate technique for a given system type.
Lesson 3 • Risk Management Principles in Validation
Introduces formal risk management frameworks adapted for computerized systems. Establishes risk thinking as the foundation for all validation planning decisions.
Lesson 4 • Maintaining a Living Risk Register
Establishes practices for updating risk assessments throughout the system lifecycle. Ensures validation remains current as systems and regulations evolve.
Chapter 3HideHide detailsSee detailsValidation Planning and Documentation
Validation Planning and Documentation
Lesson 1 • Requirements Documentation
Teaches writing unambiguous User Requirements Specifications and Functional Specifications. Good requirements are the basis for traceable, defensible test protocols.
Lesson 2 • Traceability Matrix Construction
Builds forward and backward traceability from requirements through testing to results. Demonstrates complete coverage and supports regulatory inspection readiness.
Lesson 3 • Document Control in Validation
Applies document management principles to validation deliverables including version control and audit trails. Ensures all validation records are retrievable and trustworthy.
Lesson 4 • System-Level Validation Plans
Covers the content and approval requirements for a project-specific Validation Plan. Students learn to tailor plans to system complexity and risk level.
Lesson 5 • The Validation Master Plan
Defines the purpose, scope, and structure of a site-level Validation Master Plan. Connects site strategy to individual system validation projects.
Chapter 4HideHide detailsSee detailsInstallation and Operational Qualification
Installation and Operational Qualification
Lesson 1 • Installation Qualification Principles
Defines IQ objectives and the evidence required to confirm correct system installation. Establishes the physical and environmental baseline for all subsequent testing.
Lesson 2 • Writing Effective IQ Protocols
Guides students through drafting step-by-step IQ test scripts with acceptance criteria. Emphasizes clarity and objectivity so any qualified tester can execute consistently.
Lesson 3 • Operational Qualification Principles
Defines OQ objectives and the functional tests that confirm system operation within specified limits. Bridges installation verification to performance-level testing.
Lesson 4 • Executing and Recording Qualification Tests
Covers real-time execution practices, deviation handling, and contemporaneous record-keeping. Produces compliant, inspection-ready qualification records.
Lesson 5 • IQ and OQ Summary Reports
Teaches writing qualification summary reports that evaluate results against acceptance criteria. Provides the formal basis for proceeding to performance qualification.
Chapter 5HideHide detailsSee detailsPerformance Qualification and User Acceptance Testing
Performance Qualification and User Acceptance Testing
Lesson 1 • Performance Qualification Design
Defines PQ objectives and the process-representative scenarios that prove consistent performance. Distinguishes PQ from OQ by focusing on end-to-end business processes.
Lesson 2 • User Acceptance Testing Strategy
Positions UAT as the business owner's confirmation that the system meets user requirements. Aligns UAT with PQ to avoid duplication while ensuring full coverage.
Lesson 3 • Executing PQ and UAT Protocols
Covers execution logistics, data integrity during testing, and managing unexpected results. Ensures test execution produces reliable, attributable, and complete records.
Lesson 4 • Evaluating and Closing Qualification
Guides evaluation of PQ and UAT results and preparation of the final qualification report. Formal closure authorizes system release for intended use.
Chapter 6HideHide detailsSee detailsData Integrity in Computerized Systems
Data Integrity in Computerized Systems
Lesson 1 • Remediation of Data Integrity Gaps
Provides a structured approach to investigating and correcting identified data integrity deficiencies. Produces a CAPA plan that satisfies regulatory remediation expectations.
Lesson 2 • ALCOA+ Framework and Principles
Defines Attributable, Legible, Contemporaneous, Original, Accurate, and extended attributes. Provides the evaluative standard applied to all electronic records and audit trails.
Lesson 3 • Audit Trail Requirements and Review
Covers the design, configuration, and periodic review of system audit trails. Ensures that all data creation, modification, and deletion events are captured and reviewable.
Lesson 4 • Data Integrity Risk Assessment
Applies risk assessment methodology specifically to data flows and storage within a system. Identifies vulnerabilities and prioritizes controls to prevent data manipulation.
Lesson 5 • Electronic Records and Signatures
Addresses requirements for electronic records to be equivalent to paper records and signatures. Students configure and verify electronic signature controls within validated systems.
Chapter 7HideHide detailsSee detailsChange Control and Revalidation
Change Control and Revalidation
Lesson 1 • Executing Revalidation Activities
Covers planning and executing targeted revalidation protocols following approved changes. Ensures only affected functions are retested while maintaining full traceability.
Lesson 2 • Impact Assessment for System Changes
Teaches structured evaluation of how a proposed change affects validated functions and data. Determines the extent of revalidation required before implementation.
Lesson 3 • Change Control Process Overview
Defines the formal change control workflow from request through approval and implementation. Establishes change control as the mechanism protecting the validated state.
Lesson 4 • Periodic Review of Validated Systems
Establishes a scheduled review process to confirm systems remain in a validated state over time. Identifies drift, uncontrolled changes, and emerging risks between formal changes.
Chapter 8HideHide detailsSee detailsValidation of Cloud and SaaS Systems
Validation of Cloud and SaaS Systems
Lesson 1 • Vendor Assessment and Qualification
Covers auditing cloud vendors and leveraging their documentation to support user validation. Establishes the supplier qualification process as a prerequisite to system validation.
Lesson 2 • Continuous Validation in Agile SaaS Updates
Adapts validation practices to frequent vendor-driven updates in SaaS environments. Produces a sustainable update assessment process that maintains the validated state.
Lesson 3 • Data Integrity and Security in the Cloud
Addresses data residency, backup, recovery, and access control requirements for cloud-hosted data. Ensures ALCOA+ compliance is maintained when data is stored off-premises.
Lesson 4 • Cloud Deployment Models and Validation Impact
Distinguishes IaaS, PaaS, and SaaS models and their effect on validation responsibilities. Maps which qualification activities shift to the vendor versus remain with the user organization.
Lesson 5 • Configuration and Validation in SaaS
Focuses validation effort on configurable elements within SaaS platforms rather than underlying code. Students identify and test all configuration decisions that affect regulated processes.
Your valid completion certificate
This course is for you:
Quality assurance specialists: seeking structured expertise in regulated system validation.
IT professionals in pharma or biotech: bridging technical skills with compliance requirements.
Regulatory affairs coordinators: expanding their scope to include computerized system oversight.
Validation engineers early in their careers: building a defensible, audit-ready skill set.
Manufacturing operations managers: responsible for systems that touch product quality decisions.
Compliance consultants: formalizing their CSV knowledge to serve regulated industry clients.
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