3-day Virtual Seminar

AI Terminology Made Simple A Glossary for Beginners

Overview

This session builds a clear, practical vocabulary of the AI terms professionals encounter most often - without requiring any technical or coding background.

Rather than presenting a dry list of definitions, the session explains each term in plain, relatable language, connecting it to situations you're likely to encounter in everyday work. You'll come away understanding not just what these terms mean individually, but how they relate to one another, so the vocabulary forms a coherent picture rather than a set of disconnected facts. By the end, unfamiliar AI terminology will no longer be a source of hesitation - it will be language you can use and understand with genuine confidence.

Why you should Attend

If you've nodded along when someone mentioned a "model" or a "prompt" or "hallucination" without being entirely sure what they meant, you are not alone  and the longer this vocabulary gap continues, the harder it becomes to admit it. This session is for you if you worry that asking "what does that actually mean" in a meeting will make you look behind, that you're piecing together half-understood definitions from context clues, or that this gap in basic AI vocabulary is quietly limiting how confidently you can participate in conversations that increasingly shape your work.

Areas Covered in the Session

• Foundational terms explained simply: algorithm, model, training data, and machine learning
  
• Everyday AI vocabulary you'll encounter in tools and conversations: prompt, token, context window, and output
  
• Understanding "hallucination" and other terms related to AI accuracy and reliability
  
• The difference between commonly confused terms, such as AI, machine learning, and generative AI
  
• How these terms connect to one another to form a bigger conceptual picture
  
• Practical tips for using this vocabulary confidently in professional conversations

Who Will Benefit

• All