Machine Learning Engineer

Course overview

The training program "Machine Learning Engineer" combines Machine Learning, Neural Networks, model training, and model deployment and operation. The focus is on application cases and benefit assessment as well as the practical application of the associated technical terms and work steps. Machine Learning • Fundamentals of Machine Learning: supervised and unsupervised learning using practical examples • Training, testing, and evaluation of models with accompanying exercises • Feature preparation and avoidance of overfitting, including documentation of results • Use of machine learning libraries and tools Neural Networks and Model Training • Structure of neural networks and selection of suitable architectures • Training, validation, and testing of models • 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 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 program connects Machine Learning and Neural Networks and model training and imparts knowledge in model deployment and operation as well as application cases and benefit assessment. The technical relationships are addressed in the context of Machine Learning Engineer.

Upcoming dates

• 2026-11-08T23:00:00.000Z · 2027-11-02T23:00:00.000Z · Aachen · Blended Learning
• 2026-11-08T23:00:00.000Z · 2027-11-02T23:00:00.000Z · Berlin · Blended Learning
• 2026-11-08T23:00:00.000Z · 2027-11-02T23:00:00.000Z · Hannover · Blended Learning
• 2026-11-08T23:00:00.000Z · 2027-11-02T23:00:00.000Z · Duisburg · Blended Learning
• 2026-11-08T23:00:00.000Z · 2027-11-02T23:00:00.000Z · München · Blended Learning

More courses in this field

• Process Management with AI

  neuefische GmbH

• AI Specialist for Supply Chain Management

  Agile Heroes GmbH

• AI Manager with Project

  TÜV Rheinland Akademie GmbH I

• Agile Methods and AI: AI Use Cases, Prompt Evaluation, and Team Reflection

  IntelliLearn Akademie GmbH