
Assess why CSV matters in regulated industries by highlighting risks: inaccurate data, undetected failures, and regulatory noncompliance. Show how validation delivers confidence, data integrity, and readiness for audits.
Explore how 21 CFR Part 11 and EU Annex 11 govern electronic records and signatures, access control, audit trails, and system validation in GXP environments.
Explore how GXP principles ensure data integrity and regulatory compliance by implementing ERES with robust access control, audit trails, validation, and electronic signatures across GMP, GLP, GCP, and GDP processes.
Navigate GAMP5's five software categories—from infrastructure to custom software—to apply risk-based validation, align URS, FS, DS, IQ, OQ, and PQ, and tailor testing to each category.
Learn how a validation master plan defines scope and risk-based validation for CSV projects, including GAM-5 categories and IQ, OQ, PQ. It outlines roles, documentation, and change control.
Learn how to write high quality URS by applying five attributes—clear, testable, necessary, independent, and traceable—while avoiding common mistakes to ensure audit-ready validation.
Explore IQ, OQ, and PQ in real-world validation of cloud-based systems like LIMS and QMS, with audit-friendly evidence, traceability, and end-to-end workflows under GXP.
Learn to apply a high-level risk assessment (HLRA) to computer system validation, scoring severity, probability, and detectability to produce an RPN, tailor validation scope, justify audits, and prioritize testing.
Master the traceability matrix by mapping each URS to FS, IQ, OQ, and PQ test cases with risk ratings and evidence, validating end-to-end coverage for audits and project control.
Learn how to document deviations in CSV validation and maintain a regulatory audit trail. Record unique deviation IDs, date and stage, description, root cause, impact, corrective actions, and sign-off.
Discover how CAPA—the corrective and preventive action—drives root-cause analysis and preventive controls in the CSV lifecycle, with structured steps, examples, and auditor expectations.
Distinguish defect from deviation in csv validation, clarifying product flaws versus validation process missteps and their impact on documentation and audits. Log defects and deviations; involve qa for analysis.
Are you looking to understand Computer System Validation (CSV) in the pharmaceutical and medical device industries without getting overwhelmed by regulations and technical jargon? This course is designed to help you build a strong foundation in CSV and understand how validation supports compliance, quality, patient safety, and data integrity in regulated environments.
In this Level 1 course, you will learn the core principles of Computer System Validation and how they apply to GxP computerized systems used in pharma and medical device organizations. The course begins with the basics of CSV, why it matters, and how it fits into the broader quality and compliance framework. From there, you will explore the validation lifecycle using the V-model and gain a clear understanding of how requirements, testing, and documentation connect together.
You will also learn key regulatory and compliance concepts, including 21 CFR Part 11, Annex 11, GxP, and electronic records and electronic signatures requirements. In addition, the course covers GAMP 5 software categories, Validation Master Plan (VMP) essentials, User Requirements Specification (URS), quality of requirements, IQ/OQ/PQ, traceability principles, traceability matrix, deviation logging, CAPA, audits, and post-go-live compliance activities.
This course is ideal for beginners as well as professionals who want structured, practical knowledge of CSV in regulated industries. Whether you work in quality assurance, validation, compliance, IT, or project delivery, this course will help you understand the language, process, and documentation used in real-world validation programs.
By the end of the course, you will be able to understand the CSV lifecycle, interpret core regulatory expectations, write stronger URS documents, support qualification activities, and contribute more effectively to validated system projects in pharma and medical device environments.