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The Artificial Intelligence Ecosystem course provides an overview of the foundations of AI and the field as a whole. Students will examine general AI—the ability to think and perform tasks independently, and narrow AI, which is limited to specific...

The Deep Learning course covers the mechanisms of neural networks. The curriculum navigates how to create different types of neural networks, such as artificial neural networks (ANN), recurrent neural networks (RNN), and convolutional neural networks...

In the Natural Language Processing course, students will learn techniques and methods for designing and implementing natural language processing (NLP) applications. The curriculum spans usages including sentiment analysis, text classification, speech...

The Computer Vision course explores different techniques and algorithms used to analyze and interpret images in a variety of computer vision tasks, such as image detection, image recognition, image analysis, image enhancement, and image production...

The Human-AI Interaction course explores human-computer interaction (HCI) from an interdisciplinary perspective, utilizing concepts from computer science, design, and psychology. This course focuses on how humans interact with technology...

The Security in Artificial Intelligence course examines the principles of information and software development security, AI-based tools used to identify and respond to threats, and endeavors developed to work against AI algorithms. This course...

The Artificial Intelligence Architecture course focuses on AI solution construction. Students will compare and analyze applicable solutions, engineer and draft an AI solution for their project, and adhere to industry-standard production methods...