Validating Generative AI and LLMs in GxP Course & Certification

Validating Generative AI and LLMs in GxP training provides a practical and risk-based overview of how Generative Artificial Intelligence and Large Language Models can be evaluated, validated, implemented, and governed within regulated GxP environments while maintaining data integrity, product quality, patient safety, scientific reliability, and regulatory compliance.
This Validating Generative AI and LLMs in GxP Course & Certification provides essential knowledge on AI and LLM fundamentals, GxP applications, intended use, risk-based validation, computerized system validation principles, AI lifecycle management, requirements definition, validation planning, test strategy, model performance, data quality, hallucination detection, bias assessment, prompt variability, output accuracy, reproducibility, explainability, human oversight, traceability, audit trails, electronic records, data privacy, cybersecurity, supplier and third-party AI assessment, change control, model updates, monitoring, periodic review, deviation management, documentation, and inspection readiness. Learners will understand that Generative AI and LLM outputs require appropriate verification and human oversight and should not be treated as inherently accurate, complete, or compliant. The course also explains how validation evidence should demonstrate that an AI-enabled system is fit for its intended use and remains controlled throughout its operational lifecycle. Upon successful completion, learners receive a certification demonstrating their understanding of responsible, risk-based, and compliant validation and governance of Generative AI and LLM solutions in GxP-regulated environments.

• Quality Assurance and GxP Compliance Professionals
• Computerized System Validation (CSV) and Computer Software Assurance (CSA) Professionals
• IT, Digital Transformation, and AI Governance Professionals
• Generative AI and Large Language Model Professionals working in Life Sciences
• Pharmaceutical, Biotechnology, and Medical Device Professionals
• Clinical, Manufacturing, Laboratory, and Quality Operations Teams
• Data Scientists, Machine Learning Engineers, and AI Developers
• Regulatory Affairs and Quality Systems Professionals
• Data Integrity, Audit, and Compliance Professionals
• Validation Managers, System Owners, and Project Leads
• Supplier and Third-Party Risk Management Professionals
• Anyone involved in evaluating, validating, implementing, governing, or overseeing Generative AI and LLM solutions in GxP environments