Artificial Intelligence and Machine Learning - Pending NYS Education Department Approval

The Artificial Intelligence and Machine Learning (AIML) program introduces students to the fundamental concepts, tools, and techniques used to create intelligent systems that can learn from data and make predictions or decisions. This course combines computer science, data analytics, and applied mathematics to build a strong foundation in AI and machine learning principles.

Students will gain hands-on experience with real-world datasets, supervised and unsupervised learning methods, and model training using popular AI frameworks. Topics include neural networks, natural language processing, computer vision, and predictive analytics. Graduates will be prepared for entry-level roles in data science, AI development, and emerging technology research fields.

What you will learn in this course:

• Fundamentals of artificial intelligence and machine learning
• Understanding data types, preprocessing, and feature selection
• Supervised and unsupervised learning algorithms
• Neural networks and deep learning concepts
• Data visualization and performance evaluation
• Python programming for AI applications
• Introduction to TensorFlow, PyTorch, and Scikit-learn
• Building and testing predictive models
• Applications in NLP, image recognition, and automation
• AI ethics, data privacy, and responsible innovation