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Please note the following credit values:

BSc Course: 4.5 ECTS*
BSc Seminar Course: 9 ECTS
MSc Course: 5 ECTS
MBA Course: 3 ECTS
MBA Workshop: 1 ECTS
Language course: 5 ECTS

*The following BSc courses have a different credit value: 

Business Communication: Theory & Practice: 3 ECTS
Managing your personal performance holistically: 3 ECTS
Harmonizing Leadership with Personal Development: 3 ECTS
Mental Health First Aid: 1,5 ECTS
Understanding your personal performance base: 1,5 ECTS
Workshop Body Language for Women: 1,5 ECTS
Intercultural Competence - Fit for International Collaboration: 1,5 ECTS
Perform Yourself! Media and Presentation Coaching: Personal Presence!: 1,5 ECTS

Generative Artificial Intelligence (AI)

Participation Prerequisites

No prerequisites

Course Content

In this course, participants will learn how to leverage ChatGPT and other Generative AI tools to improve ideation, facilitate customer interactions, optimize data-driven decisions, and automate business tasks. Professor Dries Faems, a digital transformation expert and a thought leader on the topic of Generative AI for business development, will give participants an introduction on how to write effective prompts, combine different AI tools, and develop agents to execute tasks in the context of specific use cases. This course will focus on the application of Generative AI, not on the technical foundations of generative AI. Knowledge of coding is not required for this course.

Intended Learning Outcomes and Competencies

By the end of the course, participants will have a solid understanding of how to use ChatGPT, Copilot and other Generative AI tools to drive business growth and success. Participants will be able to implement these tools in their own business operations and stay ahead of the curve in today’s fast-paced business environment.

Instruction Type

Asynchronous course

Form of Examination

Individual assignments (15%), prompting library (10%) and capstone project (75%)

Lecturers

lecturer image
Faems, Dries
Lecturer

Indicative Student Workload

Workload per week (approx.18.5) 73 h
Examination 2 h