Fundamentals of Artificial Intelligence

How do intelligent machines learn, make decisions, and shape the world around us? As artificial intelligence becomes increasingly integrated into education, business, healthcare, science, and everyday life, understanding how AI works has never been more important. In this course, students will gain a foundational understanding of artificial intelligence (AI) and the methods used to train intelligent systems to perform complex tasks. Students will explore a variety of modern AI approaches, while examining how these techniques are applied to solve real-world problems. Through both theoretical and hands-on learning experiences, students will analyze the strengths and limitations of different machine learning algorithms and investigate how bias can emerge in data, models, and decision-making systems. They will explore the ethical challenges associated with AI and learn strategies for developing safer, more reliable, and more equitable technologies. Students will apply fundamental mathematical concepts from linear algebra, statistics, calculus, and optimization while building programming proficiency through the implementation of algorithms in Python using both instructional and real-world datasets. Students will also apply the development of critical thinking and analytical reasoning skills in an age increasingly influenced by artificial intelligence. Students will learn how to evaluate evidence, question assumptions, assess the reliability of AI-generated information, and recognize the limitations of automated systems. By the end of the course, students will understand how to responsibly evaluate and use artificial intelligence by applying critical thinking, ethical reasoning, effective communication, and informed decision-making. They will gain foundational knowledge of AI, mathematics, and programming while developing the skills needed to assess the capabilities and limitations of intelligent systems.

No prerequisites are recommended for this class. Some basic coding is helpful for success in the class. Students should be prepared to participate in hands-on programming activities, mathematical reasoning, data analysis and discussions of the ethical and societal implications of AI.

All students will need a laptop, tablet, or similar device to use for coursework in this class. We ask students to bring their own device or request to use one of the program's devices.

Each ALP course provides approximately 68 instructional hours, comparable to one-half high school credit. Students interested in receiving credit should check with their school before enrolling, as credit decisions are made solely by the student's school or district. At the end of the program, students receive a grade report with the course description, overall grade and instructor comments that may be shared with their school when considering credit.