Explain AI and generative AI in plain language

AI Basics
Build a practical foundation in generative AI, responsible use, and the ideas that power today’s tools.
Know why you are learning.
Practice with purpose.
Leave with a next step.
Courses are arranged as a recommended sequence, not a requirement. Start with the foundation if the topic is new, or choose the course that closes a specific gap. Progress here is a planning aid; provider completion and credential rules are separate.
Anyone who wants a trustworthy starting point before choosing a tool or specialty
Understand the ideas behind today’s AI tools well enough to ask better questions, check important outputs, and keep people responsible for decisions.
Recognize common strengths, limits, and failure modes
Use a simple responsible-use check before relying on an output
IBM SkillsBuildIntroduction to Generative AI
Learn core generative AI concepts and earn an IBM digital badge.
Introduction to Generative AI
A short introductory course covering what generative AI is and how it is used.
NVIDIA LearningGenerative AI Explained
Understand generative models, their applications, challenges, and opportunities.
Course artworkElements of AI: Introduction
A celebrated, non-technical introduction to AI with a free certificate.
Career Essentials in Generative AI
Develop workplace-ready generative AI skills through a certificate pathway.
Show what you can now explain, evaluate, or make.
Use this pathway to complete one small piece of evidence: explain ai and generative ai in plain language; recognize common strengths, limits, and failure modes; use a simple responsible-use check before relying on an output. Document what you tried, what you checked, what changed, and the next question you still need to answer.