This course was funded by a wildly successful Kickstarter

• Explore PyCharm 2017.2.3 and the amazing Python 3.6.2 language
• Explore Android Studio 3 and the Java 8 language
• Discover applications of machine learning and where we use artificial intelligence and algorithms daily
• Learn what TensorFlow 1.4.1 is and how it makes machine learning development easier
• Build a linear regression model to fit a line through data
• Learn how to incorporate machine learning models into Android apps
• Build a simple digit recognition project using the MNIST handwritten digit database
• Learn how the TensorFlow estimator differs from other computational graphs

A machine learning framework for everyone

If you want to build sophisticated and intelligent mobile apps or simply want to know more about how machine learning works in a mobile environment, this course is for you.

Be one of the first

There are next to no courses on big platforms that focus on mobile machine learning in particular. All of them focus specifically on machine learning for a desktop or laptop environment.

We provide clear, concise explanations at each step along the way so that viewers can not only replicate, but also understand and expand upon what I teach. Other courses don’t do a great job of explaining exactly what is going on at each step in the process and why we choose to build models the way we do. 

No prior knowledge is required

We will teach you all you need to know about the languages, software and technologies we use. If you have lots of experience building machine learning apps, you may find this course a little slow because it’s designed for beginners.

Jump into a field that has more demand than supply

Enroll now to start the next step of your career