Qualification Course: AI Management in the Pharmaceutical Industry

- Core AI concepts, EU AI Act, GDPR essentials and key use cases across the pharmaceutical value chain - Roles, responsibilities and governance: human-in-the-loop, risk management and change management in GxP-compliant AI projects - From pilot to scale: systematic use case selection, evaluation and strategic implementation of AI solutions in pharma - Explore AI applications in depth within your chosen functional area, such as Pharmacovigilance, Market Access or Regulatory AffairsThe qualification course AI Management in the Pharmaceutical Industry is designed for professionals and leaders who want to build structured, practice-oriented AI competence for their day-to-day work. The programme combines a mandatory foundation course with a specialised elective day, allowing participants to deepen their expertise in the functional area most relevant to their role.LernzieleArtificial intelligence is becoming increasingly relevant across the pharmaceutical industry. At the same time, implementation requires more than technical curiosity. It calls for a clear understanding of use cases, governance, data requirements and the realities of regulated processes.- The qualification course AI Management in the Pharmaceutical Industry is designed for professionals and leaders who want to build structured, practice-oriented AI competence for their day-to-day work. The programme combines a mandatory foundation course with a specialised elective day, allowing participants to deepen their expertise in the functional area most relevant to their role, such as Pharmacovigilance, Regulatory Affairs or Market Access.ZielgruppenThis qualification course is aimed at professionals and leaders in the pharmaceutical industry who already have basic prior knowledge of artificial intelligence - that is, 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).