Foundations of Artificial Intelligence

Artificial intelligence is transforming how we work and live, yet the underlying concepts can often seem complex. This course demystifies AI, breaking down foundational theories and modern breakthroughs into clear, easy-to-understand written explanations. You will transition from a curious observer to a knowledgeable professional who understands how AI systems are built, evaluated, and applied in the real world. You will gain a solid grasp of key terminology, modern models, and practical workflows without needing a background in advanced mathematics. What you will learn: Understand core AI terminology, including the differences between artificial intelligence, machine learning, and deep neural networks; Explore how large language models function and the fundamentals of effective prompt engineering; Learn about modern AI architecture patterns, including vector databases and retrieval-augmented generation; Analyze real-world applications of AI across various industries and recognize their business value; Evaluate the ethical implications, biases, and responsible practices of deploying AI technologies. The course begins with foundational definitions and historical context before moving into machine learning types and neural network basics. You will then progress to modern generative AI architectures, prompt engineering guidelines, and ethical considerations for real-world deployment. This course is designed for absolute beginners, professionals, and curious learners who want to understand AI from the ground up, with no prior programming or advanced math experience required. Start reading today to build your foundational knowledge and confidently participate in the AI revolution.