INTERMEDIATE

This intermediate-level course explores the core principles and practical applications of Artificial Intelligence (AI) and Machine Learning (ML). Designed for learners with a foundational understanding of programming and basic data science, the course builds upon fundamental AI/ML concepts to deepen theoretical knowledge and enhance practical skills using real-world datasets and modern tools.

Participants will explore supervised and unsupervised learning techniques, model evaluation and selection, neural networks, and key AI concepts such as natural language processing, computer vision, and reinforcement learning. Emphasis is placed on hands-on experience through coding exercises, projects, and case studies using Python and popular libraries such as Scikit-learn, TensorFlow, and Keras.

By the end of the course, learners will be equipped to build, evaluate, and deploy ML models and understand how to apply AI techniques in real-world scenarios across different industries.