AI Engineer with a Focus on Machine Learning

Course overview

The training program AI Engineer with a Focus on Machine Learning provides in-depth knowledge for the development and application of learning methods in AI Engineering. The content focuses on model building, training, and evaluation of AI models. Special emphasis is placed on practical implementation, traceability, and the use of modern AI engineering methods. Fundamentals of Machine Learning Understand the fundamentals of AI Engineering and Machine Learning Gain an overview of learning methods Distinguish between supervised and unsupervised learning Classify models and algorithms Analyze application cases Data and Feature Engineering Prepare data for machine learning methods Select and transform features Structure datasets Improve data quality Prepare data as a basis for AI engineering projects Model Development and Training Select and train machine learning models Adjust and optimize parameters Evaluate results Recognize overfitting Develop models for productive use in AI Engineering Application and Optimization Integrate machine learning models into applications Monitor performance Interpret results Continuously improve models Implement AI engineering processes in a practical manner The training enables the development, optimization, and integration of machine learning models in practical applications. It imparts competencies in AI Engineering and lays the foundation for further specializations in the fields of Artificial Intelligence, Deep Learning, and Data Science.

Upcoming dates

• 2026-09-09T22:00:00.000Z · 2026-12-29T23:00:00.000Z · München · Hybrid Learning
• 2026-09-09T22:00:00.000Z · 2026-12-29T23:00:00.000Z · Wuppertal · Hybrid Learning
• 2026-09-09T22:00:00.000Z · 2026-12-29T23:00:00.000Z · Wiesbaden · Hybrid Learning
• 2026-09-09T22:00:00.000Z · 2026-12-29T23:00:00.000Z · Ulm, Donau · Hybrid Learning
• 2026-09-09T22:00:00.000Z · 2026-12-29T23:00:00.000Z · Saarbrücken · Hybrid Learning