Episode 2 — What Is AI? Definitions, Scope, Everyday Uses
This episode introduces the learner to the essential definitions and scope of artificial intelligence, a foundational step in any exam or certification path. AI can mean different things depending on context, ranging from symbolic rule-based reasoning to modern machine learning systems. We cover the distinctions between artificial intelligence as a broad field, machine learning as a subset, and deep learning as a further specialization. The scope also includes understanding the spectrum between narrow AI, which solves specific tasks, and the aspirational general AI, which aims to replicate broad human reasoning. By clarifying these definitions early, the learner gains precision in language that is critical for exams, where subtle differences in terminology can separate correct answers from distractors.
The second half of this episode explores the everyday applications of AI that illustrate its reach into modern life. From recommendation systems on streaming services to voice assistants and fraud detection in financial transactions, learners see how theory translates into practice. For exam preparation, the important takeaway is not just recognizing use cases, but linking them to the underlying techniques and models likely to appear on the test. For instance, identifying that a chatbot uses natural language processing or that predictive text relies on sequence modeling creates deeper understanding. By grounding definitions in accessible examples, learners create mental associations that make memorization easier and exam scenarios more intuitive. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your certification path.
