AI Literacy for Pharma Professionals: A Practical masterclass
s artificial intelligence (AI) continues to transform the pharmaceutical landscape, professionals in Quality, Regulatory, Manufacturing, Clinical, and Pharmacovigilance roles are under increasing pressure to understand and supervise smart technology–enabled tools. Our course is designed specifically for regulated environments, providing essential knowledge and practical guidance in just 3.5 hours.
Participants will gain a clear understanding of how AI is being applied across the product lifecycle, from drug discovery and clinical trial design to manufacturing optimization and post-market surveillance. We place a strong emphasis on compliance, risk management, and ethical considerations, ensuring that learners can confidently oversee AI-driven solutions while meeting the strict requirements of global health authorities. Through real-world examples and case studies, you will see how AI can support decision-making, streamline operations, and enhance patient safety without compromising regulatory standards.
The course is delivered in a concise, accessible format tailored to busy professionals, combining foundational concepts with actionable insights that can be applied immediately in your role. Whether you are assessing new technologies, managing vendors, or shaping internal policies, this training equips you with the vocabulary, frameworks, and confidence to engage effectively with AI initiatives. By the end, you will not only understand the opportunities and limitations of AI in pharma but also be better prepared to guide your teams and organizations through this rapidly evolving landscape.
Course Details
Instructor
Paul Palmer
Level
Beginner
Duration
3.5 Hours
Type
Instructor led
Course Content
Why is this course essential?
This half-day training equips participants with a clear understanding of key artificial intelligence concepts such as machine learning, deep learning, natural language processing (NLP), and generative Artificial Intelligence, all tailored to pharmaceutical applications. Delivered by an experienced Qualified Person and pharmaceutical trainer, the course bridges the gap between Artificial Intelligence innovation and GxP expectations.
What does the course cover?
- The fundamentals of Smart Technology, including supervised learning, NLP, and generative models like ChatGPT
- How artificial intelligence is currently being used across the pharmaceutical industry—from clinical trials to QA, regulatory submissions, pharmacovigilance, and manufacturing
- Myths and realities of using new technology in GxP settings, including validation, data integrity, and inspection-readiness
- The latest regulatory perspectives from the EMA, FDA, and MHRA on aritifical intelligence adoption in life sciences
- Ethical risks and governance strategies, including bias, explainability, and accountability
- How to evaluate, select, and monitor machine intelligence tools for compliance and performance
- A roadmap for building Smart Technology literate teams, SOP updates, and cross-functional AI governance
Ideal for?
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Whether you're a Qualified Person, Regulatory Affairs specialist, PV manager, QA lead, or operational executive, this course will help you move from uncertainty to confidence in managing and leveraging Artificial Intelligence safely and compliantly.
Benefits:
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Each module includes real-world case studies, discussion points, and takeaway tools that can be implemented immediately. No coding or prior technical expertise is required—just a willingness to engage with one of the most important trends reshaping pharmaceutical practice today.
What's Included
3.5Hrs of instructor led learning
Usable documents and templates
Real work examples and exercises
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