Foundations of Machine Learning and Artificial Intelligence

Artificial intelligence and machine learning are transforming every industry, yet getting started can feel overwhelming with all the technical jargon. This text-based course demystifies these technologies, breaking down complex concepts into clear, readable explanations. You will transition from a curious observer to someone who confidently understands how AI systems think, how machine learning models learn from data, and how these technologies are applied in the real world today. What you'll learn: Understand the core differences between artificial intelligence, machine learning, and deep learning; Explore the historical evolution, dimensions, and philosophical foundations of AI; Learn how key machine learning algorithms process data and make predictions; Discover modern AI concepts, including large language models and basic prompt engineering; Identify real-world use cases and ethical considerations in AI deployment; Practice interpreting basic model evaluations and performance metrics through written scenarios. The course begins with essential terminology and the history of AI before moving into practical machine learning workflows, algorithms, and modern applications. You will learn through clear text explanations, conceptual walkthroughs, and practical written exercises. Designed specifically for beginners, this course requires no prior mathematical or programming background. Start reading today to build your foundational knowledge of the future of technology.