Gain the knowledge, tools and confidence to apply AI effectively in your role without compromising GMP, compliance or data integrity. Learn from Martin Lush, one of the most respected voices on AI in pharma.
AI is already transforming pharmaceutical operations. The opportunity is significant, but so are the risks. This practical two-day course gives you the tools to identify where AI can improve your work, evaluate its outputs, manage compliance risks and make informed decisions about responsible adoption. Learn from real world experience across 25+ pharmaceutical companies and leave with a personalised 30/60/90-day AI action plan you can put into practice.
In-depth practical training
Martin Lush
Recommended course
Personal action plan
Many organisations face a common challenge - Consultants provide solutions, but internal capability is not developed. Training providers educate teams, but practical implementation remains difficult. Our approach combines both.
We deliver bespoke consultancy alongside targeted capability development, ensuring that improvements become embedded within the organisation rather than remaining consultant-dependent.
Designed for pharmaceutical professionals across quality, regulatory and compliance
Formerly global VP of Pharma, Biotech and Medical Devices at NSF, Martin Lush brings more than 40 years of pharmaceutical industry experience to this course. He now works with pharmaceutical organisations worldwide. His insights are drawn from hands-on work with more than 25 companies actively using AI in regulated environments. His courses have been attended by current and former regulatory inspectors, bringing a level of real-world regulatory insight that goes well beyond generic AI training.
Join delegates from leading pharmaceutical, biotech and medical device organisations who have already attended.
Artificial intelligence (AI) in pharma training helps pharmaceutical professionals understand how artificial intelligence, machine learning and generative AI can be applied in a regulated pharmaceutical environment, including quality, compliance, operations and auditing.
This course is designed for QPs and Trainee QPs, QA Leaders and Quality Directors, Auditors, Operations Managers, Pharmaceutical Consultants and Regulators. No prior technical AI experience is required.
This course covers AI fundamentals, generative AI, pharmaceutical use cases, compliance and efficiency, audit readiness, risk reduction, AI governance, regulatory expectations and practical implementation.
AI can support activities including SOPs, batch records, product release, deviation management, CAPA, change control, audits and decision making. The course explores the risks and controls that need to be considered when using AI in regulated environments.
Yes. The course explores how AI relates to GMP, data integrity, governance and regulatory expectations including EU and US considerations and the preparation needed for regulatory inspections.
No, the course is designed for pharmaceutical professionals rather than data scientists. AI concepts are explained in practical terms, with the focus on how they can be applied in real pharmaceutical roles and organisations.
Understand where AI can support an where it could compromise your professional judgement.
Build AI literacy now and develop a skill set that will become increasingly important.
Establish controls around governance and AI adoption.
Independent advice focused on patient safety, product quality, regulatory compliance and sustainable business performance.
