2026-06-12 2026-06-12 , online online, 2,600 € zzgl. MwSt. Qualification Course: AI Management in the Pharmaceutical Industry

The qualification course "AI Manager 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.

Topics
  • 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 Affairs


Who should attend
This 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).
Aims and objectives
Artificial 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.
Your benefit

Participants gain a structured understanding of how AI can be assessed and implemented in the pharmaceutical industry.

The qualification course supports them in identifying realistic use cases, understanding regulatory and organisational requirements and making informed decisions in their own business context. By combining a shared foundation with an individual specialisation, the programme offers both breadth and relevance for different roles across the industry.

Qualification course: AI Manager in the Pharmaceutical Industry

Qualification Course: AI Management in the Pharmaceutical Industry

Benefits
  • Focus on implementation, governance and business value
  • 2-day mandatory foundation course at the start
  • 1 elective day in a specific funtional area
  • Certified to ISO 9001 and ISO 21001 standards

Webcode 60012205

Jetzt buchen

JETZT Buchen

Alles auf einen Blick

Termin

13/10/2026 - 31/12/2027

13/10/2026 - 31/12/2027

Zeitraum

Veranstaltungsort

online

online

Downloads
Market Access: Basic Concepts and Processes
Market Access: Basic Concepts and Processes
Gebühr

Event - 2,600€ plus tax

OPTIONS
Elective Day 1: AI in Regulatory Writing
+0,00 €
Elective Day 2: Artificial Intelligence in Pharmacovigilance, 28th of January 2027
+0,00 €
Elective Day 3: Leveraging AI in Evidence Generation and Market Access
+0,00 €

Event - 2,600€ plus tax

OPTIONS
Elective Day 1: AI in Regulatory Writing
+0,00 €
Elective Day 2: Artificial Intelligence in Pharmacovigilance, 28th of January 2027
+0,00 €
Elective Day 3: Leveraging AI in Evidence Generation and Market Access
+0,00 €

Jetzt buchen

Your contact

Leila Dörfler
Team Leader

+49 6221 500-695
l.doerfler@forum-institut.de

Details

The qualification course "AI Manager 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.

Topics

  • 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 Affairs


Who should attend
This 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).

Aims and objectives

Artificial 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.

Your benefit

Participants gain a structured understanding of how AI can be assessed and implemented in the pharmaceutical industry.

The qualification course supports them in identifying realistic use cases, understanding regulatory and organisational requirements and making informed decisions in their own business context. By combining a shared foundation with an individual specialisation, the programme offers both breadth and relevance for different roles across the industry.

Detailed information

Course structure

The course structure is as follows:

1. Mandatory attendance at the foundation course "AI in Pharma: Foundations, Use Cases and Implementation in Europe" on 13-14 October 2026
2. Participation in one additional elective day in a functional area of your choice, such as Pharmacovigilance, Regulatory Affairs or Market Access. Please see below for the exact dates.

After completing both the foundation course and your selected elective day, you will receive a digital certificate for the qualification course "AI Management in the Pharmaceutical Industry".

Access to and procedure for online events

Once you have registered for an event, we will send you the access information for your customer portal. Click here to log in to the customer portal using your email address and password. Please ensure you can access the customer portal before the day of the event.

All important or additional information and personal documents are available in your personalised customer portal. This is also where you start your online courses. If you do not have access to the customer portal yet, you can easily register here.

On the day of the event, you kick off your online training in the customer portal by clicking ‘Participate’ directly in the respective event. You will then be redirected to the Learning Space.

Learn more about our online events here.

AI in the Pharmaceutical Industry

Learn how artificial intelligence is transforming the pharmaceutical industry in Europe. This foundation course covers A...

13. - 14.10.2026
Details

Go forward

Elective Day 1: AI in Regulatory Writing

09.12.2026

Details
Learning Space
Elective Day 2: Artificial Intelligence in Pharmacovigilance, 28th of January 2027

Details
Learning Space
Elective Day 3: Leveraging AI in Evidence Generation and Market Access

09.06.2027

Details
Learning Space