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| Episode | Date |
|---|---|
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Welcome to the Intermediate AI Audio Course
|
Oct 14, 2025 |
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Episode 50 — Optimization & Decision Intelligence: Linear Programming, Constraints, and Trade-Offs
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Sep 14, 2025 |
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Episode 49 — Causal Inference for Practitioners: Experiments, A/B Tests, and Uplift
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Sep 14, 2025 |
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Episode 48 — Time Series & Forecasting: Trends, Seasonality, and Drift
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Sep 14, 2025 |
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Episode 47 — Recommender Systems: Ranking, Diversity, and Feedback Loops
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Sep 14, 2025 |
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Episode 46 — Working with Vendors: Questions to Ask, SLAs to Watch
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Sep 14, 2025 |
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Episode 45 — Building with Ethics: Practical Guardrails for Projects
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Sep 14, 2025 |
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Episode 44 — Agents & Tool Use: When Models Act on Your Behalf
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Sep 14, 2025 |
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Episode 43 — Edge & On-Device AI: Privacy, Latency, Offline Use
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Sep 14, 2025 |
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Episode 42 — AI in Healthcare & Finance: Safety-Critical Considerations
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Sep 14, 2025 |
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Episode 41 — AI in Cybersecurity: Detection, Triage, Automation
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Sep 14, 2025 |
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Episode 40 — AI in Operations & IT: Forecasting and Anomaly Detection
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Sep 14, 2025 |
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Episode 39 — AI in Marketing & Sales: Personalization and Scoring
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Sep 14, 2025 |
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Episode 38 — AI in Customer Support: Chatbots, Agents, Escalations
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Sep 14, 2025 |
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Episode 37 — Organizational Roles: Who Does What on an AI Team
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Sep 14, 2025 |
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Episode 36 — Change Management: Helping Teams Adopt AI
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Sep 14, 2025 |
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Episode 35 — Metrics That Matter: Measuring Value, Not Hype
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Sep 14, 2025 |
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Episode 34 — Legal & Policy Landscape: Copyright, Consent, Compliance
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Sep 14, 2025 |
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Episode 33 — AI Security Primer: Threats and Defenses
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Sep 14, 2025 |
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Episode 32 — Data Privacy & Governance: Responsible Data Use
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Sep 14, 2025 |
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Episode 31 — MLOps Essentials: Monitoring, Drift, and Lifecycle
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Sep 14, 2025 |
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Episode 30 — Productizing AI: From Prototype to Production (No Code)
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Sep 14, 2025 |
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Episode 29 — Human-in-the-Loop: People + AI for Better Outcomes
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Sep 14, 2025 |
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Episode 28 — Explainability & Transparency: Opening the Black Box
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Sep 14, 2025 |
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Episode 27 — Safety, Bias, and Fairness: What Can Go Wrong and Why
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Sep 14, 2025 |
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Episode 26 — Generative AI Beyond Text: Images, Audio, Video
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Sep 14, 2025 |
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Episode 25 — Embeddings & Vector Databases: Meaning as Numbers
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Sep 14, 2025 |
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Episode 24 — Retrieval-Augmented Generation (RAG): Using Your Own Data
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Sep 14, 2025 |
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Episode 23 — Prompting Fundamentals: Reliable Patterns and Pitfalls
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Sep 14, 2025 |
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Episode 22 — Large Language Models: What They Can and Can’t Do
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Sep 14, 2025 |
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Episode 21 — Transformers Explained: Attention Without Equations
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Sep 14, 2025 |
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Episode 20 — NLP Foundations: Pre-LLM Techniques Explained
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Sep 14, 2025 |
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Episode 19 — Speech & Audio AI: STT, TTS, and Speaker ID
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Sep 14, 2025 |
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Episode 18 — Computer Vision Basics: From Pixels to Patterns
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Sep 14, 2025 |
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Episode 17 — Deep Learning Basics: Neurons, Layers, Training Intuition
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Sep 14, 2025 |
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Episode 16 — From Rules to Learning: Why ML Beat Expert Systems
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Sep 14, 2025 |
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Episode 15 — Feature Engineering: From Raw Data to Signals
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Sep 14, 2025 |
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Episode 14 — Overfitting & Generalization: When Models Fool You
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Sep 14, 2025 |
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Episode 13 — Evaluating Models: Accuracy, Precision/Recall, AUC
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Sep 14, 2025 |
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Episode 12 — ML 103: Reinforcement Learning at a High Level
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Sep 14, 2025 |
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Episode 11 — ML 102: Unsupervised Learning and Clustering
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Sep 14, 2025 |
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Episode 10 — ML 101: Supervised Learning in Plain Language
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Sep 14, 2025 |
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Episode 9 — Data Bias Preview: Sources, Signals, Mitigations
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Sep 14, 2025 |
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Episode 8 — Data for AI: Collection, Labeling, and Quality Basics
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Sep 14, 2025 |
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Episode 7 — Problem Framing: Turning Goals into AI Questions
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Sep 14, 2025 |
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Episode 6 — Types of AI: Narrow vs. General, Symbolic vs. Statistical
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Sep 14, 2025 |
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Episode 5 — Glossary Deep Dive I: Core Terms You’ll Hear Often
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Sep 14, 2025 |
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Episode 4 — How AI Systems Work: Data, Models, Feedback Loops
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Sep 14, 2025 |
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Episode 3 — A Short History of AI: Booms, Winters, Breakthroughs
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Sep 14, 2025 |
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Episode 2 — What Is AI? Definitions, Scope, Everyday Uses
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Sep 14, 2025 |
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Episode 1 — Orientation: How to Learn AI by Listening
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Sep 14, 2025 |