loading
AI in GxP Environments

Master AI Validation in GxP Environments: Your Essential 2026 Training Program

Introduction: The Critical Need for AI Validation Expertise

Artificial Intelligence is rapidly transforming the life sciences industry. However, the unique characteristics of AI systems—their ability to learn and adapt—present fundamental challenges to traditional validation approaches. Regulators are responding. The 2025 revision of EU GMP Annex 11 expands requirements significantly, and the new Draft Annex 22 provides a dedicated framework for AI models. The ISPE GAMP Guide: Artificial Intelligence (published July 2025) now bridges established concepts with AI’s unique traits.

This creates an urgent need for professionals who understand how to validate AI in GxP environments. Without proper training, organizations face significant regulatory risks, potential compliance failures, and threats to patient safety.

Why You Need This Training Now

The regulatory landscape for AI in GxP is evolving faster than most organizations can keep pace. The fundamental question—“How do you validate something that can learn?”—demands new knowledge and approaches. Traditional Computer System Validation (CSV) breaks when applied to AI and Machine Learning.

Our comprehensive training program, Validating AI in GxP, is designed to equip you and your team with the practical skills needed to navigate these challenges with confidence. It provides a deep and practical understanding of how to validate, govern, and maintain AI systems in regulated environments.

What You Will Learn: Key Program Highlights

This isn’t just theory—it’s actionable expertise. Upon completion, you will be able to:

  • Articulate why AI breaks the traditional CSV model and how to adapt your approach.
  • Interpret and apply key regulatory frameworks including EU GMP Annex 11, Draft Annex 22, FDA CSA Guidance, 21 CFR Part 11, and the new GAMP AI Guide.
  • Classify and tier AI systems based on risk to patient safety, product quality, and data integrity.
  • Establish robust AI governance frameworks, including operating models and validation master plans.
  • Build comprehensive evidence for AI validation, covering data governance, performance criteria, and test data independence.
  • Redefine IQ, OQ, and PQ specifically for AI and ML systems.
  • Implement ongoing monitoring programs for drift detection, performance regression, and bias assessment.
  • Manage explainability and confidence requirements, including feature attribution and scoring.
  • Control changes to AI models through formal change control and Predetermined Change Control Plans (PCCPs).
  • Prepare for regulatory inspections of AI systems, including common findings and inspection question banks.
  • Govern Generative AI and Large Language Models in GxP applications with appropriate human oversight.

Who Should Enroll?

This program is essential for any professional responsible for AI systems in GxP-regulated environments. Our target audience includes:

  • Validation Engineers and CSV Specialists: Learn to adapt traditional approaches to the unique challenges of AI and ML.
  • Quality Assurance Professionals: Gain confidence in reviewing AI validation packages and preparing for inspections.
  • Data Scientists and AI Engineers: Understand the regulatory requirements your models must meet.
  • Regulatory Affairs Professionals: Understand the evidence expectations for AI-enabled systems.
  • IT and Cybersecurity Professionals: Understand the security and data integrity requirements for GxP AI systems.
  • Senior Management and AI Program Leaders: Gain the knowledge to establish effective governance and manage regulatory risk.
  • Auditors and Inspectors: Focus on key areas like data governance, drift monitoring, and change control.

Program Structure and Certification

Our training is structured for maximum impact, divided into six comprehensive parts with 24 detailed modules. You’ll progress from foundational concepts through advanced topics and integration, ensuring a complete mastery of the subject.

Certification Requirements:
To earn your Certificate of Completion, demonstrating your robust understanding of AI validation, you must:

  • Achieve a minimum score of 80% on all module assessments.
  • Complete the comprehensive final examination with a score of 80% or higher.
  • Complete all modules and assessments.

Your certificate includes your name, the program title, completion date, a summary of modules completed, and a unique verification number, enhancing your professional credentials for three years.

Invest in Your Expertise Today

Don’t let the evolving regulatory landscape catch you unprepared. Equip yourself and your team with the definitive skills to master AI validation in GxP. This training is your strategic investment in compliance, quality, and career advancement.

Enroll Now in the Validating AI in GxP comprehensive training program and build the competence to lead in the age of AI. Secure your place today for only $399.00.

Validating AI in GxP I GxP Trainings

Author

  • Quality & Regulatory Affairs Subject Matter Expert (SME)

    Elizabeth A. Morgan is a Senior Quality & Regulatory Affairs Subject Matter Expert (SME) with 33+ years of experience supporting pharmaceutical, biotechnology, biologics, biosimilars, vaccines, cell and gene therapies, and medical device organizations.