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Description
Module 1 opens the "black box" in plain language. With no coding or math, you will understand how today's AI systems are built and why they behave the way they do, including why they sometimes get things wrong.
What you will learn
- How systems that learn from data differ from rule based programs
- How neural networks find patterns, explained with everyday analogies
- How large language models are trained to predict the next word
- What tokens and context windows are, and why AI "forgets" in long conversations
- How fine tuning and human feedback shape AI to be helpful and safe
- How one AI system can work with text, images, sound, and video
- How mistakes, bias, and outdated knowledge link back to how models are built
- How AI looks up information before answering, and how open, closed, cloud, and on device AI differ
Requirements
- AI First Applied certificate
- No coding or math required
- A phone, tablet, or computer with internet access