This course provides a practical introduction to the core concepts and applications of Artificial Intelligence (AI) and Machine Learning (ML). It is designed to help learners understand how intelligent systems are developed to analyse data, recognize patterns, and make predictions or decisions with minimal human intervention.

Participants will explore key machine learning techniques, including supervised and unsupervised learning, model training, and evaluation. The course also introduces commonly used tools and frameworks for building machine learning models and demonstrates how AI technologies are applied across industries such as healthcare, finance, education, and business.

Through hands-on exercises and real-world examples, learners will gain foundational knowledge of AI and machine learning and understand how these technologies are transforming digital innovation and data-driven decision-making.