Certified - Introduction to AI

AI has become central to how goods are made, moved, and delivered. This episode begins with predictive maintenance, where algorithms detect failures before they occur, saving costs and preventing dow…

In retail and marketing, AI’s role is visible every time you see a product recommendation or dynamic pricing change. This episode examines how customer segmentation, recommendation engines, and perso…

Finance has always been data-driven, making it a natural fit for AI. In this episode, we cover early uses like algorithmic trading and credit scoring before moving into today’s advanced applications.…

Few fields show AI’s potential more vividly than healthcare. This episode begins with diagnostic support systems, from early expert tools like MYCIN to today’s advanced medical imaging models that de…

AI is not confined to the cloud — it increasingly lives in the devices around us. This episode introduces edge AI, where models run locally on Internet of Things (IoT) devices. Benefits include lower…

Not every organization can build AI systems from scratch, and cloud AI services fill this gap by offering ready-made tools. This episode explains how major providers such as Amazon Web Services, Micr…

For AI to succeed, people must be able to use it effectively. This episode examines the design of interfaces that allow humans to interact with AI in ways that are intuitive, transparent, and support…

AI systems are only as good as the data and assumptions that shape them, and many fail because of recurring pitfalls. This episode outlines the most common problems, starting with poor data quality, …

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 evaluate AI performance. We begin…

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 introduces the algorithm to data…

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 preparation, from collection throug…

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 action. We begin with perception tech…

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 conversion of audio into text, and s…

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 analyze images and video. We start w…

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 approaches like rule-based translati…

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 many layers capable of learning…

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 this episode, we begin with the per…

Machine learning is the beating heart of modern AI, and this episode introduces its three foundational approaches: supervised, unsupervised, and reinforcement learning. We begin with supervised learn…

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 reasoning when outcomes are incompl…

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 predicate logic, we’ll explain …