All Episodes
Displaying 21 - 40 of 50 in total
Episode 21 — Transformers Explained: Attention Without Equations
This episode introduces transformers, the architecture that underpins nearly all state-of-the-art AI systems today. Instead of relying on recurrent layers or convoluti...
Episode 22 — Large Language Models: What They Can and Can’t Do
This episode focuses on large language models (LLMs), which have moved from research labs into mainstream applications. LLMs are trained on massive datasets and billio...
Episode 23 — Prompting Fundamentals: Reliable Patterns and Pitfalls
This episode examines prompting, the method of steering model outputs with well-designed instructions. For certification purposes, prompting fundamentals matter becaus...
Episode 24 — Retrieval-Augmented Generation (RAG): Using Your Own Data
This episode introduces retrieval-augmented generation, or RAG, a method of enhancing large language models by grounding them in external data sources. Instead of rely...
Episode 25 — Embeddings & Vector Databases: Meaning as Numbers
This episode explains embeddings, numerical representations of text, images, or other data that capture semantic meaning. Embeddings allow AI systems to compare simila...
Episode 26 — Generative AI Beyond Text: Images, Audio, Video
This episode expands the scope of generative AI beyond text, exploring how similar principles apply to images, audio, and video. Models trained on large datasets of vi...
Episode 27 — Safety, Bias, and Fairness: What Can Go Wrong and Why
This episode focuses on safety, bias, and fairness, essential dimensions of responsible AI development. Safety refers to preventing harmful or unpredictable behavior. ...
Episode 28 — Explainability & Transparency: Opening the Black Box
This episode addresses explainability and transparency, two qualities increasingly demanded of AI systems. Explainability refers to the ability to clarify how a model ...
Episode 29 — Human-in-the-Loop: People + AI for Better Outcomes
This episode introduces the human-in-the-loop approach, where human oversight complements automated AI processes. Instead of leaving systems to operate entirely on the...
Episode 30 — Productizing AI: From Prototype to Production (No Code)
This episode examines the journey from experimental AI prototypes to fully deployed production systems, emphasizing that success requires more than technical accuracy....
Episode 31 — MLOps Essentials: Monitoring, Drift, and Lifecycle
This episode introduces MLOps, the discipline of applying operational best practices to machine learning systems. While data science focuses on building models, MLOps ...
Episode 32 — Data Privacy & Governance: Responsible Data Use
This episode covers data privacy and governance, critical areas for both ethical practice and regulatory compliance. Data privacy refers to protecting individual infor...
Episode 33 — AI Security Primer: Threats and Defenses
This episode introduces the security challenges unique to artificial intelligence systems. Unlike traditional software, AI models can be attacked through their trainin...
Episode 34 — Legal & Policy Landscape: Copyright, Consent, Compliance
This episode covers the legal and policy environment surrounding AI, an area increasingly tested in certification exams. Copyright concerns arise when models are train...
Episode 35 — Metrics That Matter: Measuring Value, Not Hype
This episode addresses the critical task of evaluating AI systems beyond raw performance metrics. While accuracy and loss functions matter during development, organiza...
Episode 36 — Change Management: Helping Teams Adopt AI
This episode examines change management in the context of AI adoption. AI systems are not just technical tools but organizational shifts, and their success depends hea...
Episode 37 — Organizational Roles: Who Does What on an AI Team
This episode explores the organizational roles necessary for building and sustaining AI systems. Teams often include data scientists, data engineers, machine learning ...
Episode 38 — AI in Customer Support: Chatbots, Agents, Escalations
This episode examines AI in customer support, one of the most common enterprise applications. Chatbots and virtual agents handle routine inquiries, while escalation pa...
Episode 39 — AI in Marketing & Sales: Personalization and Scoring
This episode explores how AI transforms marketing and sales functions through personalization and scoring. Personalization involves tailoring recommendations, messages...
Episode 40 — AI in Operations & IT: Forecasting and Anomaly Detection
This episode addresses AI in operations and IT, focusing on forecasting and anomaly detection. Forecasting uses historical patterns to predict future values, such as d...