Foundations of Artificial Intelligence: Core Concepts and Applications

Artificial intelligence is transforming every industry, yet grasping how these systems actually work can feel overwhelming. This course demystifies the core algorithms and concepts behind AI without requiring complex mathematics or advanced programming experience. You will transition from an observer to a knowledgeable practitioner who understands how AI systems represent knowledge, search for solutions, learn from data, and generate content. What you'll learn: - Understand foundational AI terminology, state space search, and heuristic problem-solving. - Explore knowledge representation, logical reasoning, and classical decision-making systems. - Learn the basics of machine learning, neural networks, and modern deep learning architectures. - Discover modern generative AI concepts, including large language models and basic prompt engineering. - Evaluate ethical considerations, bias, and responsible AI practices in real-world scenarios. Starting with historical foundations and basic definitions, the material guides you through classic search algorithms, knowledge representation, machine learning basics, and modern AI paradigms. This text-only course is designed for absolute beginners, professionals wanting to transition into AI-adjacent roles, and curious learners with no prior technical background. Begin your journey into the world of artificial intelligence today.