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PODCAST

Certified - Introduction to AI Audio Course

The Introduction to Artificial Intelligence Audio Course is your complete, audio-first guide to understanding the principles, possibilities, and real-world impact of AI. Designed for learners at any stage—students, professionals, or career changers—this Audio Course takes you on a structured journey through how machines learn, reason, and make decisions. Each episode builds your understanding step by step, covering the fundamentals of machine learning, neural networks, natural language processing,

education courses

All Episodes

30:39

Episode 29 — AI in Education

Certified - Introduction to AI Audio Course ·

2025/09/10

Education is a sector where AI promises to personalize learning at scale. This episode looks at intelligent tutoring systems, adaptive learning platforms, and automated grading tools that free teachers to focus on higher-value tasks. Natural language processing supports writing feedback, while speech recognition powers language-learning tools. Predictive analytics helps identify at-risk students early, and chatbots provide round-the-clock support for course and administrative questions.The

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32:12

Episode 28 — AI in Manufacturing and Logistics

Certified - Introduction to AI Audio Course ·

2025/09/10

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 downtime. Quality control through computer vision, process optimization, and demand forecasting illustrate AI’s reach inside the factory. In logistics, warehouse automation, route optimization, and digital twins help organizations manage complexity across global supply chains.We also examine

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32:52

Episode 27 — AI in Retail and Marketing

Certified - Introduction to AI Audio Course ·

2025/09/10

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 personalization platforms shape consumer experiences. We discuss demand forecasting, inventory management, and visual search as tools for operational efficiency. Chatbots handle inquiries, sentiment analysis monitors social media, and predictive models estimate customer lifetime value.Retail AI also

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33:21

Episode 26 — AI in Finance

Certified - Introduction to AI Audio Course ·

2025/09/10

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. Fraud detection systems flag suspicious transactions, while risk models forecast credit and market exposure. Personalized financial services, robo-advisors, and chatbots make customer interaction faster and more tailored. On the institutional side, portfolio optimization and insurance

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28:18

Episode 25 — AI in Healthcare

Certified - Introduction to AI Audio Course ·

2025/09/10

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 detect tumors and abnormalities in X-rays and MRIs. We explore predictive analytics for patient outcomes, genomics and precision medicine for tailoring treatments, and drug discovery pipelines accelerated by algorithms. Virtual health assistants, telemedicine support, and remote monitoring

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31:02

Episode 24 — AI in Edge and IoT Devices

Certified - Introduction to AI Audio Course ·

2025/09/10

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 latency, improved privacy, and functionality even without network connections. We’ll explain how embedded machine learning models are compressed and optimized for limited hardware, and how techniques like federated learning allow devices to contribute to training without centralizing sensitive

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31:08

Episode 23 — Cloud AI Services — Off-the-Shelf Tools

Certified - Introduction to AI Audio Course ·

2025/09/10

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, Microsoft Azure, and Google Cloud deliver APIs for natural language processing, vision, and speech. Pre-trained models allow companies to adopt AI quickly, while platforms like SageMaker and Vertex AI offer customization for specialized tasks. Benefits include scalability, cost-effectiveness, and

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32:46

Episode 22 — Human–AI Interaction — Interfaces and...

Certified - Introduction to AI Audio Course ·

2025/09/10

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 supportive of trust. We start with dashboards, conversational agents, and voice interfaces, then explore adaptive systems that personalize recommendations and adjust to user behavior. Transparency features, such as confidence indicators and explainable outputs, are highlighted as essential for building

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32:34

Episode 21 — Common Pitfalls and Bias in AI Systems

Certified - Introduction to AI Audio Course ·

2025/09/10

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, unbalanced datasets, and labeling errors. We’ll discuss sampling bias, measurement bias, and the use of proxy variables that inadvertently encode sensitive traits. Overfitting, underfitting, and automation bias — where humans over-trust machine outputs — are introduced as technical and human

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31:38

Episode 20 — Evaluating AI Performance

Certified - Introduction to AI Audio Course ·

2025/09/10

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 with accuracy, precision, recall, F1 score, and confusion matrices for classification problems, then move to regression metrics like mean squared error and R². For clustering and ranking tasks, we cover silhouette scores, adjusted Rand index, and average precision. Each metric is explained not

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31:32

Episode 19 — Training, Validation, and Testing Models

Certified - Introduction to AI Audio Course ·

2025/09/10

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, refining weights and parameters over multiple epochs. Validation checks progress midstream, guiding hyperparameter tuning and preventing overfitting. Testing provides the final check, using unseen data to confirm performance. Listeners will learn about accuracy, precision, recall, F1 scores,

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33:04

Episode 18 — Data Collection and Preparation for AI

Certified - Introduction to AI Audio Course ·

2025/09/10

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 through preprocessing. You’ll hear about structured, semi-structured, and unstructured data, and the importance of cleaning, labeling, and augmenting datasets. Normalization, handling missing values, and feature engineering are explained as key steps to ensure models learn from high-quality inputs.We

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29:39

Episode 17 — Robotics — AI in the Physical World

Certified - Introduction to AI Audio Course ·

2025/09/10

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 technologies such as cameras, lidar, and tactile sensors, followed by motion planning, control systems, and kinematic models that enable movement. Manipulation, navigation, and localization are explained as key challenges in robotics, alongside reinforcement learning approaches that teach robots

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28:27

Episode 16 — Speech Recognition and Generation

Certified - Introduction to AI Audio Course ·

2025/09/10

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 speech generation, the production of lifelike voice outputs. We trace the path from early statistical methods like hidden Markov models to deep learning architectures that now dominate. You’ll learn about acoustic modeling, language modeling, phoneme recognition, and modern end-to-end systems

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28:29

Episode 15 — Computer Vision — Teaching Machines to See

Certified - Introduction to AI Audio Course ·

2025/09/10

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 with early techniques like edge detection and feature extraction, then move into modern convolutional neural networks that revolutionized accuracy in object detection and classification. Segmentation, optical character recognition, and video analysis are introduced as building blocks for systems

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27:02

Episode 14 — Natural Language Processing — How...

Certified - Introduction to AI Audio Course ·

2025/09/10

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 translation, then move into statistical models such as bag-of-words and word embeddings. Tokenization, part-of-speech tagging, syntax parsing, and semantic analysis are explained as core steps in processing human language. We then introduce modern approaches, including contextual embeddings, attention

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28:56

Episode 13 — Deep Learning — Modern Architectures

Certified - Introduction to AI Audio Course ·

2025/09/10

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 hierarchical features, supported by massive datasets and specialized hardware like GPUs. We’ll explore architectures including convolutional neural networks for vision, recurrent and gated networks for sequential data, attention mechanisms, and transformers that now dominate natural language

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28:35

Episode 12 — Neural Networks — From Neurons to Layers

Certified - Introduction to AI Audio Course ·

2025/09/10

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 perceptron, an early model of a single artificial neuron, then explore how weights, activation functions, and layers combine to process information. Multi-layer networks, trained through backpropagation and optimized with gradient descent, allow AI to model complex relationships in data. Key

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23:40

Episode 11 — Machine Learning Foundations —...

Certified - Introduction to AI Audio Course ·

2025/09/10

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 learning, where labeled data pairs inputs with correct outputs, powering tasks like classification and regression. We then shift to unsupervised learning, where algorithms find hidden structure in unlabeled data through clustering and dimensionality reduction. Finally, reinforcement learning is

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25:11

Episode 10 — Probability and Decision Making Under...

Certified - Introduction to AI Audio Course ·

2025/09/10

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 incomplete, noisy, or ambiguous. We begin with core concepts like random variables, probability distributions, and conditional probability, then move to Bayes’ theorem as a method for updating beliefs with new evidence. Listeners will also learn about Bayesian networks, Markov models, and hidden Markov

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