Machine Learning and Artificial Intelligence

Understanding and implementing machine learning algorithms: Students should learn the fundamentals of various machine learning algorithms, including supervised and unsupervised learning, and gain hands-on experience in implementing them.

Developing AI models for specific applications: Specialized training in applying AI techniques to domains like natural language processing, computer vision, and recommendation systems is crucial.

Student background: Computer Science, Engineering, or Mathematics.

Student profile: Individuals interested in building intelligent systems, predictive modeling, and automation.