All Episodes
Displaying 1 - 20 of 48 in total
Episode 1 — Orientation — What is Artificial Intelligence?
Artificial Intelligence is a term everyone has heard, but few understand in depth. In this opening episode, we cut through the hype and get to the core: what does it a...
Episode 2 — Course Roadmap — How to Learn AI in Audio Form
This PrepCast is designed to teach Artificial Intelligence in a way that fits into real life: no slides, no diagrams, no heavy math on the page — just clear explanatio...
Episode 3 — A Brief History of AI — From Turing to Transformers
Artificial Intelligence didn’t appear overnight; it has a story stretching back more than seven decades. In this episode, we step into that story, beginning with Alan ...
Episode 4 — AI vs. Machine Learning vs. Deep Learning — Key Distinctions
AI, machine learning, and deep learning are terms often used interchangeably, but they are not the same — and confusing them makes it harder to understand the field. T...
Episode 5 — How Machines “Think” — Algorithms and Representations
When people talk about machines “thinking,” they’re not talking about human intuition or creativity. They’re talking about algorithms — structured sets of instructions...
Episode 6 — Data — The Fuel of AI
No matter how advanced the algorithm, it can’t run without data. This episode focuses on why data is considered the fuel of AI, exploring the different types that driv...
Episode 7 — Search and Problem Solving in AI
Before machine learning took center stage, AI was already grappling with how to solve problems systematically. This episode dives into search and problem solving, two ...
Episode 8 — Knowledge Representation — How Machines Store Facts
For AI to reason, it needs to store and organize information. This episode explores knowledge representation, the frameworks that allow machines to capture facts, rela...
Episode 9 — Logic and Reasoning Systems
Reasoning has always been at the heart of intelligence, and in this episode we focus on how AI systems use logic to derive conclusions. Starting with propositional and...
Episode 10 — Probability and Decision Making Under Uncertainty
Real-world decisions are rarely black and white, and AI systems must navigate uncertainty just as humans do. This episode explores how probability theory underpins rea...
Episode 11 — Machine Learning Foundations — Supervised, Unsupervised, Reinforcement
Machine learning is the beating heart of modern AI, and this episode introduces its three foundational approaches: supervised, unsupervised, and reinforcement learning...
Episode 12 — Neural Networks — From Neurons to Layers
Artificial neural networks are inspired by the structure of the human brain but simplified into mathematical models that drive today’s most powerful AI systems. In thi...
Episode 13 — Deep Learning — Modern Architectures
Deep learning represents the cutting edge of neural networks, pushing performance far beyond earlier methods. In this episode, we define deep learning as networks with...
Episode 14 — Natural Language Processing — How Machines Understand Text
Language is one of the most human forms of intelligence, and this episode explores how AI systems learn to read, interpret, and generate text. We begin with early appr...
Episode 15 — Computer Vision — Teaching Machines to See
The ability to process visual information has been a defining achievement for AI. In this episode, we explore how computer vision allows machines to interpret and anal...
Episode 16 — Speech Recognition and Generation
Speech is one of the most natural ways humans communicate, and AI systems are increasingly able to listen and respond. This episode covers speech recognition, the conv...
Episode 17 — Robotics — AI in the Physical World
While much of AI lives in code and data, robotics brings intelligence into the physical world. This episode examines how robots integrate sensing, reasoning, and actio...
Episode 18 — Data Collection and Preparation for AI
Data is not just fuel for AI; it must be carefully gathered, cleaned, and prepared to produce reliable results. This episode breaks down the full lifecycle of data pre...
Episode 19 — Training, Validation, and Testing Models
Once data is prepared, models must be built and evaluated with rigor. This episode covers the three pillars of evaluation: training, validation, and testing. Training ...
Episode 20 — Evaluating AI Performance
Knowing that an AI model works is not enough — we need to know how well it works, and under what conditions. This episode explores the frameworks and metrics used to e...