AI in Pharma: Foundations, Use Cases and Implementation in Europe

Learn how artificial intelligence is transforming the pharmaceutical industry in Europe. This foundation course covers AI concepts, key use cases, EU AI Act and GDPR essentials, GxP implications and practical steps to implement AI safely and at scale.

• Core AI concepts for pharmaceutical companies
• EU perspective: AI Act and GDPR essentials for AI projects
• Key AI use cases across the pharmaceutical value chain
• Roles and responsibilities for the "human in the loop" in AI-supported GxP processes
• AI as a strategic differentiator in pharma: from proofs of concept and pilots to scaled solutions
• Systematic selection and evaluation of AI use cases
• Governance and risk management for AI projects in pharmaceutical organisations
• Practical implementation and evaluation of an AI use case, including change management

This course is designed for professionals and leaders in the pharmaceutical industry who already have a basic understanding of artificial intelligence and now want to deepen their skills for practical application.
Basic understanding means you have heard of common AI tools such as ChatGPT or Gemini and can roughly distinguish between the terms AI, machine learning and large language models (LLMs).

By attending, you will significantly deepen your understanding of AI in the pharmaceutical context and strengthen your competence in identifying, evaluating and implementing AI use cases in line with European requirements.

Artificial intelligence is reshaping core processes in the pharmaceutical industry at remarkable speed. At the same time, the EU AI Act, GDPR and GxP requirements set a demanding framework for governance, data quality and documentation.

This two-day foundation course provides a structured overview of key AI concepts, concrete use cases along the pharmaceutical value chain and proven approaches for implementation in European organisations. Experienced speakers from leading pharmaceutical companies (including AstraZeneca, Merck and Bayer) share how to move AI initiatives from first pilots to scalable solutions.

This course is the core module of the qualification course "AI Management in the Pharmaceutical Industry". You can find the full programme of the qualification course under webcode 60012205.

The course can alternatively be booked as a stand-alone module.

After this course, you will be able to

• speak confidently about core AI concepts in a pharma specific way

distinguish between different types of AI systems and understand where they can add value in your organisation
recognise high risk versus lower risk AI use cases from both a regulatory and a business perspective
understand the key elements of the EU AI Act and GDPR that affect AI initiatives in pharmaceutical companies

• identify and evaluate promising AI use cases using clear criteria

anticipate typical pitfalls that prevent AI pilots from scaling and know how to address them

• structure the implementation of an AI use case, including change management and governance aspects