Courses and Nanodegree Programs

Machine Learning

Machine learning involves giving computers the capacity to learn, develop, and perform increasingly complex tasks on their own. This ability has applications in a wide array of fields, including health care, finance, consumer technology, education, resources, and government. Machine Learning Engineers create algorithms for self-driving cars, foreign language translation, retrieving and processing data from social networks, and processing and reviewing customer data. In our Machine Learning Engineer Nanodegree, you develop a skillset that you can apply to a wide variety of careers.
Become a machine learning engineer and apply predictive models to massive data sets in fields like education, finance, healthcare or robotics.


Learn to clean up messy data, uncover patterns and insights, make predictions using machine learning, and clearly communicate your findings.

2.75K IN COLLABORATION WITH Facebook, Tableau

This class will teach you the end-to-end process of investigating data through a machine learning lens, and you'll apply what you've learned to a real-world data set.

This course will introduce you to the basics of AI. Topics include machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.

This course provides an introduction to computer vision including fundamentals, methods for application and machine learning classification.

IN COLLABORATION WITH Georgia Institute of Technology

Machine Learning for Trading New

Project Build a Digit Recognition Program
Implement machine learning based strategies to make trading decisions using real-world data.

IN COLLABORATION WITH Georgia Institute of Technology

Reinforcement Learning New

Project Train a Smartcab to Drive
Study machine learning at a deeper level and become a participant in the reinforcement learning research community.

IN COLLABORATION WITH Georgia Institute of Technology

In this course, you'll learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.

IN COLLABORATION WITH Georgia Institute of Technology

Ever wonder how Netflix can predict what movies you'll like? Or how Amazon knows what you want to buy before you do? The answer can be found in Unsupervised Learning!

IN COLLABORATION WITH Georgia Institute of Technology

Intro to Descriptive Statistics will teach you the basic concepts of statistics that can be used to extract information from data.

What does a data scientist do? In this course, we will survey the main topics in data science so you can understand the skills that are needed to become a data scientist!

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