$268  $298

Develop the proficiency and expertise that employers are looking for with specialized training and professional education.

  • 2 Courses in program
  • 6 weeks per course
  • 5 - 7 hours per week
  • English language

This series of hands-on and interactive MOOCs will give learners a comprehensive overview of the basics machine learning topics. You will discover how machine learning classification and regression techniques allow you to make predictions for a category (classification) or for a number (regression) given data. This can be useful in predicting properties of objects (such as their weight or shape), or predicting qualities of people (customer satisfaction, etc.).

You will learn about unsupervised learning techniques such as clustering and dimensionality reduction and how useful they are to make sense of large and/or high dimensional datasets.

We will also cover more advanced supervised learning techniques such as deep learning. This is useful to train neural networks to solve more complicated classification and regression tasks. Finally, you will deep dive into the reinforcement learning techniques and understand how to use them to train AI agents that interact with an environment.

The lectures feature a unique combination of videos mixed with hands-on interaction with machine learning algorithms to stimulate a deeper understanding. In the exercises you apply the algorithms in Python using scikit-learn and in the final project you will further deepen your understanding of the various concepts by building and tuning a machine learning pipeline from start to finish.


The courses in this program are MOOCs that can be followed for free. In order to earn a certificate a fee is required.