This advanced audio course explores the inner workings of modern artificial intelligence systems, from architectures and embeddings to security risks and reliability strategies. Each episode delivers a focused, audio-only deep dive designed to teach technical concepts in clear, accessible language. Built for exam candidates and practitioners alike, the series helps you master AI topics without distractions or filler.
First Episodes
Episode 1 — Orientation: How to Learn AI by Listening
This opening episode sets the foundation for the entire PrepCast by guiding learners on how to approach the subject of artificial intelligence in an audio-first format...
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 me...
Episode 3 — A Short History of AI: Booms, Winters, Breakthroughs
This episode provides context for the development of artificial intelligence by tracing its history across cycles of optimism, disappointment, and eventual breakthroug...
Episode 4 — How AI Systems Work: Data, Models, Feedback Loops
This episode introduces the structural mechanics of AI systems, breaking them into three interrelated components: data, models, and feedback loops. Data is the raw mat...
Episode 5 — Glossary Deep Dive I: Core Terms You’ll Hear Often
This episode serves as a glossary immersion, focusing on the terminology that certification candidates will encounter repeatedly in AI-related exams. Terms like algori...