AI in Manufacturing
The benefits of AI and ML have already been demonstrated by first AI-pilots such as Predictive Maintenance as well as Product Quality Prediction in production. Nowadays, many companies aim to turn data into value. The most commonly used approach is applying AI and ML. However, the implementation of AI-projects remains a challenge due to many parameters that have to be considered.
For this reason, we would like to run through the most important steps in the implementation of an AI-project based on concrete production use-cases. The individual steps are accompanied by hands-on sessions, in which you as a participant prepare data sets, train ML-algorithms and evaluate the results of the ML-models independently using the programming language Python.
Target group: Engineers, software developers, data scientists or researchers from the production environment, who would like to develop the know-how to carry out an AI-project in production and gain programming experience in the implementation of ML-algorithms.
- Introduction to AI and ML
- Methodologies and Software Solutions for ML and AI
- AI Use-Case Selection
- Business Understanding (Hands-On)
- Data Quality and Data Preprocessing (Hands-On)
- Algorithms of ML and AI (Hand-On)
- Success Stories at Fraunhofer IPT
October 6-7, 2020
The participation fee is € 595 (€ 495 for ICTM-Industry Partners) and is tax-free in Germany (§4 UStG). It includes seminar documents, lunch and refreshments. For written cancellation at least two weeks before the seminar € 100 will be charged for administrative expenses.
Fraunhofer Institute for Production Technology IPT
German or English