Agentic Machine Learning Engineering

Course overview

Machine Learning Engineering teaches participants the skills necessary for building and applying machine learning systems. Introduction to the command line, version control systems, and Python *Data manipulation, visualization, and exploratory analysis *Deepening classical machine learning concepts with supervised learning *Practical projects applying decision trees and random forests *Use of neural networks and transfer learning *Learning the agentic stack with transformers and tool protocols *Conducting a final project with practical examples *Preparation for certification with the NCA-GENL certification *Professional development to become a Machine Learning Engineer *Development into an Agentic AI Engineer

Upcoming dates

• 2026-10-25T23:00:00.000Z · 2027-02-01T23:00:00.000Z · Aachen · Combined Learning
• 2026-10-25T23:00:00.000Z · 2027-02-01T23:00:00.000Z · Bielefeld · Combined Learning
• 2026-10-25T23:00:00.000Z · 2027-02-01T23:00:00.000Z · Bonn · Combined Learning
• 2026-10-25T23:00:00.000Z · 2027-02-01T23:00:00.000Z · Dresden · Combined Learning
• 2026-10-25T23:00:00.000Z · 2027-02-01T23:00:00.000Z · Duisburg · Combined Learning