Foundations of Artificial Intelligence: From Core Concepts to Modern Systems

Artificial intelligence is transforming every industry, yet grasping how these systems actually work can feel overwhelming. This course demystifies the core concepts, history, and modern applications of AI without requiring a background in advanced mathematics or programming. You will transition from a curious observer to a knowledgeable professional who understands how AI models think, learn, and make decisions. By studying foundational theories alongside modern trends, you will gain a clear conceptual framework of the AI ecosystem. What you will learn: 1. Learn the foundational history, definitions, and distinct dimensions of artificial intelligence. 2. Understand the differences between narrow AI, general AI, and machine learning methodologies. 3. Explore the mechanics of neural networks, deep learning, and natural language processing. 4. Discover modern generative AI concepts, including large language models and prompt engineering basics. 5. Grasp how vector databases and retrieval-augmented generation (RAG) enhance modern AI systems. 6. Examine the ethical implications, biases, and future trends of AI deployment. The course begins with essential terminology and the historical evolution of intelligent systems before guiding you through machine learning algorithms, deep learning structures, and cutting-edge generative technologies. This text-based course is designed for absolute beginners, business professionals, and tech enthusiasts who want a solid conceptual grounding in AI with zero prior coding experience. Start reading today to build your foundational AI literacy and prepare for the future of technology.