Machine Learning with Homelab AI

Course overview

Upon completion of the training, you will have knowledge in Machine Learning and the use of Homelab AI systems. You will also be able to install, customize, and evaluate local models. Basics of Machine Learning Perceptron algorithms for classification Clustering methods such as k-Means Model evaluation and hyperparameter tuning Homelab AI and Python environment Installation of local models (Ollama®/LM Studio) Quantization of large models on consumer hardware Development of Machine Learning with Homelab AI systems Data preparation and processing for Homelab AI

Upcoming dates

• 2026-10-18T22:00:00.000Z · 2027-01-31T23:00:00.000Z · Stuttgart · Combined Learning
• 2026-10-18T22:00:00.000Z · 2027-01-28T23:00:00.000Z · Gütersloh · Combined Learning
• 2026-10-18T22:00:00.000Z · 2027-01-31T23:00:00.000Z · Magdeburg · Combined Learning
• 2026-10-18T22:00:00.000Z · 2027-01-28T23:00:00.000Z · Greifswald, Hansestadt · Combined Learning
• 2026-10-18T22:00:00.000Z · 2027-01-28T23:00:00.000Z · Hannover · Combined Learning