Basic AI Models and Techniques introduces foundational concepts in artificial intelligence, including machine learning algorithms and neural networks. It covers essential techniques such as supervised and unsupervised learning, classification, and model evaluation. By the end of the course, students will understand how to build and apply simple AI models to solve real-world problems.

No entry requirements specified for this course.