Courses

Sometimes you need a helping hand when navigating through a topic as large and complex as AI. At SAILea, we offer live courses over Zoom through our partnership with the  East AI-CS Club to advance your knowledge on both computer science and artificial intelligence. You must be a member of SAILea or a SAILea club to participate in our courses. If you are not yet a member, it's easy and free to join. Just visit the "Join Us" page and fill out the form at the bottom. 

PROGRAMMING COURSES

We know that a certain level of fluency in a programming langauge is necessary to learn AI or ML effectively and that there are many students who did not yet have an opportunity to learn a programming language. Here are a list of live courses on programming languages we offer:

Python

Python is a popular programming language with a heavy emphasis on the readability of the code. Because of python's extensive built-in library, it is perfect for any newcomers to coding. Python is one of the most commonly used programing languages for creating AI. Our course will take you from little Python knowledge to being ready to code your own AI. 

Java

Java is also one of the most popular general-purpose programming language that is built to be object oriented. Applications of Java not only includes machine learning, but also perfect for coding robots and programming games. Our Java course will cover data types, iteration, conditionals, arrays, objects, methods, recursion, and more. 

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING COURSES

Mathematics Behind Deep Learning

This course is part 1 in the deep learning series. You will be focusing on mathematics behind deep learning. You will be taught conceptual models of deep learning and learn what is going behind the scene by learning the necessary linear algebra and calculus.   

Deep Learning Implementation

This course is part 2 in the deep learning series. You will be focusing on deep learning with neural network. This will go more in-depth into libraries focusing on machine learning such as sci-kit learn and tensor flow. With these libraries you will be designing models that analyze real-world data and make new predictions off of that data.

To sign up for upcoming live courses or videos of those courses, please fill out this form: