Grades: 9th – 12th
Level 1 (Beginner)
This course introduces students to the fundamental mathematical concepts used in Artificial intelligence(AI)/ Machine Learning(ML) and how to apply AI/ML techniques to solve real-world problems. The course will begin with a review of basic mathematical concepts, including linear algebra, statistics, and probability theory. The course will then delve into the fundamental concepts of ML, including supervised and unsupervised learning. Students will learn how to train models and evaluate their performance. The course will cover popular ML algorithms like linear regression and K-nearest neighbor. Students will develop these projects on the NVIDIA Jetson Nano. The course is designed for students who have some basic programming knowledge and want to expand their skills in the field of ML.
Artificial Intelligence Level 1 Syllabus coming soon!