We offer customized training depending on the needs of your business. Based on our lively research atmosphere and practical on-site experience, our experts analyze your training needs and provide training tailored to your needs and business profile as part of your data experiment.
SERVICE DESCRIPTION
Our training is comprehensive and tailored to your needs. Our hands-on content can leverage your own data and get you up and running quickly with your data-related products and services. We offer these trainings from 2 to 10 participants and can be delivered with a focus any of the following topics:
- Data Analytics
- Data Science
- Machine learning
- Big Data
- eXplainable AI
- MLOps
- Testing and Validation
KIT is "The Research University in the Helmholtz Association". As one of the largest scientific institutions in Europe, the only German university of excellence with national large-scale research facilities stands for excellent, practically relevant teaching.
SPECIAL ACCESS CONDITIONS
Conditions and requirements for participation in an experiment within the Open Calls:
By participating in an EUHubs4Data Open Call, you are initially only applying for funding that originally comes from the European Commission and is awarded by the coordinator exclusively in its own name under the conclusion of a sub-grant agreement. This sub-grant agreement does not establish a contract with KIT, neither through your application nor through a possible positive funding decision.
KIT will therefore - also in your own interest - conclude a separate written agreement with you at the start of the experiment (based on our sample cooperation agreement.
If you decide to propose the participation of KIT and SDIL infrastructure in your experiment, you must respect the following conditions.
We provide this information in advance to ensure maximum transparency: please contact us if you have any questions. In the unlikely event that you are unable to conduct your experiment with our participation, we will attempt to assist you in selecting alternative services before the experiment begins.
Please note that contrary to the name "service", the above description is not a genuine commercial offer, but a listing of exclusive contributions as part of a genuine eye-to-eye collaboration.
For genuine commercial offerings related to the above topics, please feel free to contact us any time outside of the Open Calls.
PREREQUISITES
At least 2 attendants with a domain background and basic programming knowledge.
SUCCESS STORY
We have successfully trained employees at Hermle in order to let them incorporate ML-based machine diagnosis into their toolchain: https://www.sdil.de/en/projects/sdsc-bw-smart-data-analyzes-reduce-maintenance-intervals-for-milling-machines.
SERVICE CAN BE COMBINED WITH
Training might accompany any SDIL offerings to facilitate sustainable knowledge transfer.
