Artificial Intelligence (AI) is the discipline focused on designing systems that can think, learn, and act intelligently. It combines computer science, data analysis, mathematics, and cognitive principles to create technologies capable of solving problems, recognizing patterns, and making autonomous decisions.

This course introduces learners to the foundations of AI, exploring its core concepts, evolution, and current state-of-the-art models that power modern intelligent systems. You will gain insight into AI agents — systems that perceive their environment and take action — and understand their growing role in automation, analytics, and everyday applications.

A critical component of learning AI is distinguishing hype from reality. While AI has remarkable capabilities, understanding its practical boundaries and ethical implications is equally important. Learners will explore how AI integrates into daily life — from recommendation systems and voice assistants to smart devices and autonomous technologies.

The course will also examine the major types of AI, including rule-based systems, learning-based models, neural networks, reinforcement learning, and generative AI. Together, these topics build a comprehensive understanding of how machines learn, adapt, and create.

By the end of this module, learners will have a solid conceptual foundation to engage deeply with the principles, methods, and real-world applications of Artificial Intelligence — preparing them to explore each of these topics in greater depth in the lessons ahead.