This course surveys Artificial Intelligence (AI) techniques, theories, and applications, exposing students to AI project cycles and decision making. Students will be introduced to various social issues and concerns surrounding AI such as ethics and bias.

This course explores the fundamental ideas and reasoning behind artificial intelligence (AI) by examining the building blocks and components of AI, along with the problems it creates, solves, or alters. The course emphasizes the ethical, social, and cultural impact of AI, considering the issues raised by professionals, society, and institutions.

This introductory course explores the fundamental concepts of machine learning. Discover how computers can analyze data and make predictions without explicit programming. Learn about supervised and unsupervised learning, along with practical applications like classification. The course also delves into Python programming basics used for building intelligent models.

This course provides the student with a strong introduction to the core concepts and methodologies that apply to any Large Language Model (LLM), including but not limited to OpenAI ChatGPT, Google Gemini, and Microsoft Copilot. The students will develop and evaluate LLM prompts using advanced prompt techniques and current best practices.

This course delves into the fascinating world of Natural Language Processing (NLP) and text processing. Master the fundamentals of how computers interpret and manipulate human language. The course focuses on the knowledge and skills needed to develop language recognition applications, empowering the student to bridge the gap between humans and machines.

This course explores how Artificial Intelligence (AI) and machine learning can revolutionize business solutions. Learn the foundational algorithms used to make data-driven predictions, like classifying customers or identifying trends. Discover how AI is transforming industries by optimizing customer service, boosting sales, and creating targeted marketing campaigns. Gain the knowledge to leverage AI and turn data into a powerful business advantage.

This course delves into the science and engineering behind enabling computers to "see" and understand the visual world. We'll explore how computers process, analyze, and interpret digital images and videos, unlocking valuable insights and applications across various fields. Topics include Convolutional Neural Networks (CNNs), the workhorses of modern computer vision, and Generative Adversarial Networks (GANs), AI systems that can not only analyze images but also generate entirely new, realistic ones.