AI Fundamentals: Understanding Core Concepts and Modern Systems

Artificial Intelligence is rapidly changing the technological landscape, but the underlying concepts can feel complex and abstract. This course provides a clear, conceptual framework for understanding the core components, types, and functions of AI systems. You will gain the vocabulary and knowledge necessary to confidently engage with foundational AI concepts and current trends. ### What you'll learn * Understand the fundamental definitions and history of Artificial Intelligence and Machine Learning. * Distinguish between different types of AI, including supervised, unsupervised, and reinforcement learning. * Analyze the key components that make up a functional AI system, such as data pipelines and model deployment. * Explore the conceptual basis of modern generative models and large language models (LLMs). * Apply basic principles of effective prompt engineering to interact with contemporary AI tools. * Practice interpreting common AI metrics and evaluating model performance based on business needs. We begin by defining core terminology and tracing the evolution of AI concepts. We then move into practical discussions about system architecture and the role of data, concluding with an overview of modern generative AI applications and interaction techniques. This course is designed exclusively for beginners. No prior knowledge of programming, complex mathematics, or AI concepts is required. Start building your foundational knowledge in Artificial Intelligence today.