Foundations of Artificial Intelligence (AI)

Artificial Intelligence is rapidly transforming every industry, making a foundational understanding of its core concepts essential for anyone working with technology today. By the end of this course, you will have a solid theoretical framework for understanding how intelligent systems are built, how they operate, and the crucial role of data in driving their capabilities. This knowledge will enable you to evaluate AI solutions and communicate effectively about AI applications. What you'll learn: * Understand the history and foundational definitions of Artificial Intelligence and its various subfields. * Learn the core concepts behind classic search algorithms and knowledge representation techniques. * Master the basic principles of machine learning, including supervised, unsupervised, and reinforcement learning. * Apply fundamental prompt engineering techniques used to interact effectively with modern large language models. * Analyze the role of data, ethics, and fairness in developing and deploying responsible AI systems. This course begins with essential terminology and definitions, guiding you through the theoretical underpinnings of AI before exploring practical applications and modern trends. You will engage with written explanations and practice exercises designed to solidify your comprehension. This introductory course is designed for absolute beginners, technology enthusiasts, and professionals seeking a clear, non-technical introduction to the world of Artificial Intelligence. No prior programming or advanced mathematical knowledge is required. Begin your journey into the transformative field of AI today.