Course Contents
The course teaches the theoretical principles and practical knowledge needed to found an AI startup. Participants go through the entire startup process – from the initial idea to the development of a realisable startup concept. At the beginning, they receive keynote speeches that serve as a basis for the subsequent teamwork (in groups of 4-5 people). The concepts and content learned are directly applied to the individual startup ideas of the participants. In addition, specific challenges and success factors in the AI startup industry will be discussed in depth.
Preconditions
No specific knowledge is required. However, basic knowledge of machine learning and data science is an advantage.
Further Grading Information
The course is limited to a certain number of participants. In order to participate in this course, please send a letter of motivation (approx. 1 page, including first and last name/matriculation number) to Dr. Nihal Wahl by 22 April 2025: wahl@is.tu-darmstadt.de.
By 23 April 2025, interested students will receive a confirmation of participation and an invitation to the corresponding Moodle course, provided that places are available.
The course is a block course with six mandatory attendance sessions. The dates are all-day and take place every other week, on Wednesdays and Fridays between April and June 2025. The kick-off date will be on 25 April 2025 – on this date, the teams will be formed and the course of the internship will be explained in more detail.
If you have any questions about the internship, please contact Ms Nihal Wahl (wahl@is.tu-darmstadt.de).
Additional Information
The course language is German.
Online Offerings
Moodle
The course teaches the theoretical principles and practical knowledge needed to found an AI startup. Participants go through the entire startup process – from the initial idea to the development of a realisable startup concept. At the beginning, they receive keynote speeches that serve as a basis for the subsequent teamwork (in groups of 4-5 people). The concepts and content learned are directly applied to the individual startup ideas of the participants. In addition, specific challenges and success factors in the AI startup industry will be discussed in depth.
Preconditions
No specific knowledge is required. However, basic knowledge of machine learning and data science is an advantage.
Further Grading Information
The course is limited to a certain number of participants. In order to participate in this course, please send a letter of motivation (approx. 1 page, including first and last name/matriculation number) to Dr. Nihal Wahl by 22 April 2025: wahl@is.tu-darmstadt.de.
By 23 April 2025, interested students will receive a confirmation of participation and an invitation to the corresponding Moodle course, provided that places are available.
The course is a block course with six mandatory attendance sessions. The dates are all-day and take place every other week, on Wednesdays and Fridays between April and June 2025. The kick-off date will be on 25 April 2025 – on this date, the teams will be formed and the course of the internship will be explained in more detail.
If you have any questions about the internship, please contact Ms Nihal Wahl (wahl@is.tu-darmstadt.de).
Additional Information
The course language is German.
Online Offerings
Moodle
- Lecturer: Nihal Wahl-Islam
Semester: Verão 2025
Jupyterhub API Server: https://tu-jupyter-t.ca.hrz.tu-darmstadt.de