Go to EduHub at opencampus.sh and create an account. Once you are logged in, you can apply for courses or programs through the respective course or program pages. Registration for our semester offerings opens approximately 6 weeks before the start of the semester. A brief motivation letter is required when applying for courses and programs. At regular intervals before courses begin, we inform you via email about admission to our courses. If you have received a place, you simply need to click the confirmation link in the email and complete a short onboarding to confirm your participation. Early application for our offerings increases your chances of getting a place and leads to earlier feedback from us!
MACHINE LEARNING DEGREE
Dive into hands-on AI and Machine Learning with the opencampus.sh Machine Learning Courses and Degree — a free, community-driven program designed for real-world, project-based learning.
Take courses individually or go for the full degree: complete at least three ML courses and join a practical event, like the Coding.Waterkant Festival or the Prototyping Week, to earn a certificate and 12.5 ECTS.
Learn by doing, collaborate with a community of AI enthusiasts, and build skills that translate directly into real-world applications. Whether you're a hobbyist, student, or industry professional, this program gives you the tools and network to turn AI ideas into reality.
- Hands-on & practical Courses are project-based and focus on real-world applications rather than pure theory.
- Open & free for everyone Regardless of background, education or prior experience.
- Industry & community relevance The programme is designed in collaboration with experts from startups and companies, making it relevant for real-world ML usage.
- Network & opportunities Beyond learning, you get access to a community, coworking spaces, and networking with other learners, researchers and practitioners.
CURRENT COURSES
If you sign up for the Machine
Learning Degree, you'll be able to:
1.
Take a series of well-structured courses — from data science basics to advanced ML and AI topics.
2.
Work on hands-on projects (solo or in teams), e.g. during coding camps or prototyping weeks — ideal to build real-world skills.
3.
Join a community of AI enthusiasts — from hobbyists to professionals — with access to coworking spaces, networking and collaboration opportunities.
How to join
To apply or learn more, visit our course platform or write to us — we're happy to help.
APPLY NOWFAQ
Yes, all courses of the degree program are currently free for all participants. If costs should exceptionally apply to certain courses/programs, this will be communicated on the page of the respective offering.
This is possible for students from all Kiel universities in many degree programs as part of a supplementary subject/elective area. If in doubt, please inquire with your examination office. The courses from opencampus.sh are formally offered through the Center for Key Qualifications at Kiel University (CAU). Recognition is also possible for other universities, but you will need to inquire individually with your examination office. For the course offerings, 2.5 or 5 ECTS credits can be awarded upon successful completion in combination with a practical project or supplementary online courses. Grades are not assigned.
Exam registration: CAU students must provide their matriculation number in the EduHub (under Profile). We handle the exam registration at the end of the current semester, so you should not worry about this yourself. After successfully completing the examination requirement, you will receive the ECTS credits at the end of the current semester. We do not register students from other universities with the examination office. After successfully completing the course, you must independently submit the certificate issued by opencampus.sh to your examination office.
SEE FULL LIST
FAQ