Machine Learning with TensorFlow

Course overview

TensorFlow is one of the widely used frameworks for developing and training machine learning models. This training course provides the fundamentals of machine learning and demonstrates how TensorFlow can be used to build such models. What you will learn The topics include, among others: Fundamental principles of machine learning: data processing, model training, and evaluation Building and training models with TensorFlow Structure of TensorFlow projects and typical workflows Understanding where TensorFlow is suitable compared to other approaches Traceability of training results and gradual improvement of a model Course content TensorFlow combines the fundamentals of machine learning with a concrete technical implementation: The training course outlines the steps a model goes through from data preparation to trained results, and how TensorFlow technically supports these steps. Tools such as ChatGPT or Claude serve as examples of further applications of machine learning. Who is this training for This training is suitable for individuals with basic knowledge of machine learning who want to deepen their understanding specifically with TensorFlow and apply it to their own projects. Your certification The training concludes with a certificate from the provider. Your prospects Knowledge of TensorFlow and machine learning is in demand for roles that develop, train, and integrate models into existing systems.

Upcoming dates

• 2026-09-29T22:00:00.000Z · 2026-11-25T23:00:00.000Z · Aachen · Combined Learning
• 2026-09-29T22:00:00.000Z · 2026-11-25T23:00:00.000Z · Zwickau · Combined Learning
• 2026-09-29T22:00:00.000Z · 2026-11-25T23:00:00.000Z · Zittau · Combined Learning
• 2026-09-29T22:00:00.000Z · 2026-11-25T23:00:00.000Z · Würzburg · Combined Learning
• 2026-09-29T22:00:00.000Z · 2026-11-25T23:00:00.000Z · Wuppertal · Combined Learning