Artificial intelligence is no longer a future concept in the life sciences; it is a present-day reality transforming everything from drug discovery to clinical trials, manufacturing, and regulatory submissions. For regulatory affairs and quality professionals, this shift brings both unprecedented opportunities and significant new challenges. How do you validate a system that can learn and change over time? How do you ensure compliance when the logic is in the data, not the code?
The regulatory landscape is evolving rapidly to address these questions. The introduction of the EU GMP Draft Annex 22, the FDA’s modernized Computer Software Assurance (CSA) guidance, and the new ISPE GAMP Guide for AI all signal that competence in AI validation is no longer optional—it is essential for anyone working in GxP-regulated environments.
To help you navigate this complex terrain, GxP Training offers a suite of comprehensive, certified courses designed for life sciences professionals. Whether you are a validation engineer, a quality assurance manager, a data scientist, or a regulatory strategist, we have a program to help you lead in the age of AI.
Validating AI in GxP: A Comprehensive Training Program
This is our flagship program, providing a deep and practical understanding of how to validate, govern, and maintain AI systems in regulated environments. It addresses the critical question: “How do you validate something that can learn?”
This comprehensive training integrates the latest regulatory frameworks, including EU GMP Annex 11, the new Draft Annex 22, FDA’s CSA Guidance, 21 CFR Part 11, and the ISPE GAMP Guide for AI.
You will learn why traditional Computer System Validation (CSV) breaks when applied to AI, how to classify and tier AI systems based on risk, and how to build a robust evidence pack that withstands regulatory scrutiny. The program covers practical guidance on redefining IQ, OQ, and PQ for AI models, implementing ongoing monitoring and drift detection, and managing changes through formal change control and Predetermined Change Control Plans.
This is the definitive course for anyone responsible for AI systems in GxP environments.
Explore the Course: Validating AI in GxP
AI Management Systems: ISO/IEC 42001:2023
Beyond validating individual models, organizations need a systematic framework for managing AI risk. ISO/IEC 42001:2023 is the world’s first international standard for AI management systems (AIMS), providing a risk-based framework for the responsible development, provision, and use of AI systems.
This course provides a comprehensive overview of the standard, helping you identify key requirements and benefits. You will learn how to manage requirements for AI systems, drive continual improvement, and ensure the AIMS is used as a core set of processes in your organization. The course covers the 38 risk controls you may need to implement to manage AI risks effectively, addressing challenges such as model opacity, bias, and cybersecurity.
This training is essential for leaders and managers tasked with establishing a compliant and ethical AI governance framework.
Explore the Course: AI Management Systems ISO/IEC 42001:2023
Designing AI-Driven Workflows in Life Sciences
AI’s true potential is realized when it is embedded into the workflows of R&D, quality, manufacturing, and supply chain. This applied training program is designed for the full range of life sciences roles, from senior management to bench scientists.
You will learn what AI can do, how it has performed in actual deployments, what return on investment to expect, and what pitfalls to avoid. The program draws on real-world case studies, specific performance statistics, and proven frameworks. You will learn how to build AI business cases using real ROI figures, design validation protocols for AI-based inspection systems, identify process parameters valuable for predictive modeling, and implement predictive maintenance programs.
This course bridges the gap between AI theory and practical application, enabling you to lead AI initiatives in your organization.
Explore the Course: Designing AI Driven Workflows in Life Sciences
Navigating Generative AI in Academic Research
Generative AI (GenAI) has rapidly become a part of the academic and research landscape, with mentions in scientific literature increasing exponentially. For researchers, this presents a dual challenge: leveraging the power of GenAI to accelerate work while safeguarding academic integrity.
This training program is designed to help you navigate this new terrain. You will learn to identify many distinct benefits of GenAI for researchers, including literature review, data analysis, manuscript preparation, and public communication. You will also recognize specific risks, such as threats to academic integrity, quality assurance systems, and public trust in science.
The program covers established ethical frameworks, publisher policies regarding authorship and disclosure, and how to detect potential traces of AI-generated text. It is essential for graduate students, early-career researchers, and established academics across all disciplines.
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AI for Life Sciences Professionals
This foundational program is designed for life sciences professionals who need to lead, manage, or contribute to AI initiatives. No prior programming or advanced mathematics is assumed.
You will learn to define AI in practical terms relevant to life sciences research, distinguish AI from traditional rule-based programming, and understand how neural networks, machine learning, and deep learning function. The course covers key technological drivers, real-world AI applications across precision medicine, clinical trials, medical imaging, and biomarker discovery.
You will also learn to evaluate the strategic potential of AI within your organization using frameworks such as the 3-Horizon Model and AI Maturity Map, and plan a phased, realistic AI adoption journey.
Explore the Course: AI for Life Sciences Professionals
Take the Next Step in Your AI Journey
The AI revolution in life sciences is here. Staying ahead requires continuous learning and adaptation. GxP Training is your trusted partner in this journey, offering CPD/CEU accredited courses designed to equip you and your team with the knowledge and skills to excel.
Explore our full catalog of certified online training for highly regulated industries, covering GMP, GCP, GLP, GDP, and more.
Visit GxP Trainings today and transform your approach to AI in life sciences.
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