Our course begins by covering the basics of AI and Machine Learning, and has lots of code and notebook examples. The course covers standard machine learning algorithms and progresses to building full-scale deep neural networks. By the end of the course, you will be able to build your own machine learning algorithms and deep neural networks and complete many different types of projects. At the end of the course, we have a variety of to explore, ranging from topics of image classification, time series analysis, and natural langauge processing.
Our course is more than just lectures. We focus on learning through walkthroughs and projects above all. Learning AI is more than just knowing concepts and theory, students must also learn how to implement those concepts in code, so we make it the core of our curriculum.
These are useful links and resources for our course. Please star our Github repo and like our Youtube videos!
Our Github has all the lesson notebooks, code, and projects for the entire course. Please star the repo!
Our Youtube Playlist has our 6 video lectures for our course. Watch them in order to follow the course.
This Medium article describes our teaching philosophy and the strategy we use to teach to younger students.