Understand AI from the ground up — no jargon, just clarity.

Artificial Intelligence can seem daunting — especially when surrounded by hype, buzzwords, and technical jargon. AI Fundamentals: Key Concepts & Terminology is your bridge to understanding, designed for those with curiosity but no technical background. This course lays out the core ideas that define modern AI in clear, accessible language, creating a solid foundation for deeper learning or informed participation in AI-related initiatives.

Learners explore essential concepts including algorithms, machine learning, deep learning, training data, models, and supervised vs unsupervised learning. It also introduces basic terminology used across AI discussions in government, business, education, and the media. With real-world examples, simplified visuals, and contextual explanations, participants build the confidence to interpret and contribute to AI conversations — even in professional or policy settings.

This course is ideal for managers, policy professionals, educators, and general learners who need to understand what AI is (and isn’t), what terms actually mean, and how to engage meaningfully in the AI discourse. It’s not just about learning new words — it’s about gaining the literacy to navigate and shape the AI-powered future.

Course Content

Module 1: Key Terms & Historical Background
Module 2: How AI Systems Work (Conceptual)
Module 3: AI Techniques & Subfields
Module 4: Practical Applications & Use Cases
Module 5: Limitations & Common Challenges
Module 6: Looking Ahead & Further Learning