AI-Skills
Artificial intelligence (AI) is transforming both the scientific landscape and the competences required in the labor market – across all disciplines. In doctoral and postdoctoral education, (critical) AI literacy is increasingly becoming a key qualification.
This is precisely where the focus area "AI-Skills" becomes relevant. Doctoral and postdoctoral researchers who complete this focus area acquire fundamental competences and practical skills in working with (generative) AI. To successfully complete the program, participants must attend at least one course in each of the following modules:
- Module 1: Technological Foundations of (generative) AI
- Module 2: Tools & Application of (generative) AI
- Module 3: Normative Dimensions & Future Development of AI
Module 1
This module provides an understanding of the technological basis of (generative) AI. This includes the central model types (language, image, and multimodal models), as well as their architecture and training. The goal is to convey the technical foundations of (generative) AI and thereby enable a reflective use of AI tools.
Module 2
The focus of this module is the practical application of (generative) AI. Participants learn about different tools and their areas of application and engage in critical evaluation of their use. The goal of this module is to enable participants to use (generative) AI tools in a targeted and reflective manner for different use cases.
Module 3
This module addresses fundamental ethical, legal, and generally normative questions concerning (generative) AI, as well as potential consequences of its further development and broad societal deployment. The goal of the module is for participants to develop normative judgment regarding the use of (generative) AI and an informed opinion on the possible consequences of its widespread economic and societal use.
Completion Requirements
As part of the Transferable Skills program (Conditions of Participation), only doctoral candidates and postdoctoral researchers at the University of Basel are eligible to complete the AI-Skills focus area and obtain the certificate. To do so, a minimum of eight hours per module must be completed, generally in the form of in-person contact hours. This requirement can be fulfilled through one or more courses, e.g. two courses with four contact hours each or four courses with two contact hours each.
The overview below lists all current and past courses in our Transferable Skills program and in the course offerings of our cooperation partners that can be credited towards the certificate.
For past courses, only those held from the Spring Semester 2026 onwards count towards the certificate. For each course, the overview also indicates how many hours are credited towards the respective module.
Obtaining the Certificate
Participants who have completed the required minimum of eight hours in all modules should send an email with the relevant supporting documents (e.g. course certificates, certificates of attendance) to grace@unibas.ch.
If all requirements have been met, an individual certificate will be issued listing, among other things, the courses attended (a sample certificate is available here: Example Certificate
Current Eligible Courses
Module 1
Angewandte KI für die geistes- und sozialwissenschaftliche Forschung
8h
GRACE
Applied AI for Humanities and Social Science Research
8h
GRACE
Introduction to Applied AI for Researchers
8h
GRACE
Introduction to Machine Learning (with Python)
16h
GRACE
Module 2
AI-Assisted Coding and Modern Workflows
8h
GRACE
Beyond Academia: Design Your Job Search Strategy with AI-Powered Guidance
16h
GRACE
Effizient wissenschaftlich schreiben: der Weg zum Text - mit und ohne KI
7h
GRACE
Exploring AI for Science Communication
16h
GRACE
How to Use Generative AI for Academic Writing: Basics, Ethics, Procedures, and Hacks
8h
GRACE
Improving Your Scientific Writing with AI
4.5h
GRACE
The Impact of AI on Scientific Literature: Navigating Emerging Challenges in the Scientific Information Landscape
4.5h
GRACE
Writing Process in Natural Sciences: From Research to Publication in the Age of AI
16h
GRACE
Writing Productivity: Tools and Techniques
7h
GRACE
Writing Workflow: Forming Your Next Article in the Natural and Life sciences
12h
GRACE
Module 3
Human–AI Synergy and the Jagged Frontier of Generative AI
12h
GRACE
Stochastic Parrots and Beyond: Normative Dimensions of Generative AI
8h
GRACE
Past Eligible Courses
Courses offered from the Spring Semester 2026 onwards are eligible for credit towards the certificate.
Module 1
Advanced Python and Machine Learning
16h
GRACE
Module 2
Beyond Academia: Design Your Job Search Strategy with AI-Powered Guidance
16h
GRACE
How to Use Generative AI for Academic Writing: Basics, Ethics, Procedures, and Hacks
8h
GRACE
Module 3
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