Lecturer: Maryam Ghareghani

Maximum number of participants: 10 (projects in groups of 2–3 students)

Period/preliminary appointment: tba

Location: Max Planck Institute for Molecular Genetics, Ihnestr. 63-73, PC-Pool

Information session: There will be an information session (online) on xxx.
Link: 

Course description:

This software internship focuses on generative AI and agentic AI, with applications in the health domain. Students will gain hands-on experience with foundational models, prompt engineering, and generative AI agents, applying them to practical health-related problems. They will design, implement, and evaluate AI-driven solutions while developing essential project management, teamwork, and presentation skills. The course provides exposure to current AI tools, frameworks, and best practices for building real-world applications, with students working in small groups on prototype projects.

Learning Goals:

• Practical experience with generative AI and agentic AI tools and frameworks

• Application of AI methods to health-related problems

• Development of teamwork, project management, and presentation skills

Quantitative allocation (in %):

Practical programming work: 60 %

Soft skills: 40%

Programming language(s) used: Python

Difficulty level (Eight stars distributed over three areas):

A Programming:****

B Biology/Chemistry:*

C Projekt management:***

Required previous knowledge: 

• Python programming

• Familiarity with basic AI concepts (e.g., LLMs, prompt engineering)

• Interest in AI, health, or bioinformatics

Contact address: ghareghani at molgen.mpg.de

Website:

Language: English