Bring It Together: Your Working AI Vocabulary

AI vocabulary for beginners: practical non-technical glossary and working AI language. Integrated AI glossary for non technical people covering artificial intelligence basics, machine learning vs deep learning, what is a neural network, and large language model explained. Learn AI language step-by-step so you can follow real-world AI discussions, ask smarter questions, and build AI literacy for everyone.

What You'll Learn:

• How to connect 10 cornerstone AI terms—Data, Algorithm, Machine Learning, Deep Learning, Neural Network, Large Language Model, Training, Inference, Token, and Prompt Engineering—into one clear mental model.
• How artificial intelligence basics actually show up in everyday tools so you can recognize AI in products you already use.
• How to quickly explain machine learning vs deep learning to a non-technical friend or colleague without using math or jargon.
• What a neural network is in plain language, and why it became the foundation of today’s most powerful AI systems.
• How large language models (LLMs) like ChatGPT are trained, what they can and cannot do, and why "tokens" matter for cost and behavior.
• How to use simple prompts and basic prompt engineering ideas to get more reliable, useful answers from AI tools.
• A short reflection exercise to write down your own working AI vocabulary so you remember it and can use it in conversations.
• A practical follow-up plan: identify one area of your work or life where these terms apply and choose one tiny action to take this week.