Advanced Machine Learning

Course overview

The training course "Advanced Machine Learning" combines Neural Networks and Model Training, Model Deployment and Operation, and Machine Learning. The focus is on application cases and benefit assessment as well as the practical application of the associated technical terms and work steps. Neural Networks and Model Training • Construction of neural networks and selection of suitable architectures at an advanced level based on practical examples • Training, validation, and testing of models with accompanying exercises • Optimization of hyperparameters and avoidance of overfitting • Evaluation of model quality with appropriate metrics Model Deployment and Operation • Deployment of trained models in applications and services • Versioning of data, code, and models • Monitoring model performance in ongoing operations • Maintenance, updating, and documentation of models Machine Learning • Fundamentals of Machine Learning: supervised and unsupervised learning • Training, testing, and evaluation of models • Feature preparation and avoidance of overfitting • Use of machine learning libraries and tools Application Cases and Benefit Assessment • Selection of suitable application cases and areas of use • Assessment of effort, benefit, and prerequisites • Pilot projects and gradual implementation • Measurement and evaluation of results The training course connects Neural Networks and Model Training, Model Deployment and Operation, and imparts knowledge in Machine Learning as well as application cases and benefit assessment. The technical relationships are addressed in the context of Advanced Machine Learning.

Upcoming dates

• 2026-11-08T23:00:00.000Z · 2027-01-26T23:00:00.000Z · Aachen · Blended Learning
• 2026-11-08T23:00:00.000Z · 2027-01-26T23:00:00.000Z · Berlin · Blended Learning
• 2026-11-08T23:00:00.000Z · 2027-01-26T23:00:00.000Z · Hannover · Blended Learning
• 2026-11-08T23:00:00.000Z · 2027-01-26T23:00:00.000Z · Duisburg · Blended Learning
• 2026-11-08T23:00:00.000Z · 2027-01-26T23:00:00.000Z · München · Blended Learning

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