Foundations of Artificial Intelligence and Machine Learning

Artificial intelligence is transforming how we work and live, yet the terminology behind it can feel overwhelming. This text-based course cuts through the noise, breaking down complex terminology into clear, accessible concepts. You will transition from a curious observer to a knowledgeable professional who understands how AI systems think, learn, and generate content. By reading through real-world scenarios and structured explanations, you will build a solid mental model of modern AI architectures. What you'll learn: - Understand the core differences between artificial intelligence, machine learning, and deep learning - Explore how generative AI works, including large language models and foundation patterns - Learn the basics of prompt engineering to communicate effectively with AI systems - Recognize key ethical considerations, including bias, privacy, and responsible AI practices - Identify practical use cases for AI across business, creative, and technical industries - Master essential terminology to confidently discuss AI with colleagues and technical teams The course begins with foundational definitions and historical context before progressing to neural networks, generative models, and practical application strategies. You will learn entirely through structured written explanations, conceptual breakdowns, and practical text exercises. This course is designed specifically for absolute beginners, requiring no prior programming or mathematical background. Start reading today to build your foundational knowledge of the technology shaping our tomorrow.