Foundations of Artificial Intelligence with Practice Assessments

Curious about how artificial intelligence actually works behind the buzzwords? Understanding the core pillars of AI, machine learning, and deep learning is essential for navigating today's technology-driven world. This text-based course guides you from absolute beginner to a confident assessor of AI concepts. You will build a solid theoretical foundation and immediately validate your knowledge with comprehensive written practice scenarios and conceptual checkpoints. What you'll learn: • Understand the critical differences between artificial intelligence, machine learning, and deep learning. • Explore modern AI paradigms including large language models, generative AI, and prompt engineering basics. • Learn how neural networks function and how models are trained on data. • Identify real-world use cases, ethical considerations, and bias in AI systems. • Practice your knowledge with structured self-assessment scenarios designed to reinforce key terminology. The course begins with essential definitions and the history of AI before diving into machine learning algorithms and deep learning architectures. You will progress through clear conceptual breakdowns and apply what you learn using targeted written exercises. This course is designed for absolute beginners, professionals, and students who want a clear, no-code introduction to AI concepts without any mathematical or programming prerequisites. Start reading today to build and test your understanding of modern artificial intelligence.