AI foundations courses and concepts
Artificial intelligence is the field of computer science that builds systems to do tasks that normally need human intelligence, such as understanding language, recognizing images and making decisions. For its first decades the field mostly built those systems from rules written by hand; most AI today instead learns patterns from large amounts of data, which lets it handle cases no one wrote a rule for, though its output can still be wrong. AI systems in use today are narrow, each built for one task or a limited set of tasks, and AI that could handle any intellectual task a person can is still hypothetical. Learning the basics means understanding how these systems learn and where they fail, and telling apart the terms used to describe them, such as machine learning, deep learning and generative AI.
AI foundations courses
Learn AI — general introductions
AI Literacy
IBM SkillsBuild
An introduction to artificial intelligence
The Open University
Elements of AI: Introduction to AI
University of Helsinki & MinnaLearn
Exploring Artificial Intelligence Use Cases and Applications
AWS Skill Builder
Fundamentals of Machine Learning and Artificial Intelligence
AWS Skill Builder
Getting Started with Artificial Intelligence
IBM SkillsBuild
Understanding Artificial Intelligence
DataCamp
Use AI — using AI, often in one profession
AI Deep Dive for Educators
ISTE
AI Deep(er) Dive for Educators
ISTE
AI fluency
The Open University
AI for educators
Microsoft Learn
AI in Special Education
NEA (National Education Association)
AI literacy eLearn
PwC's Academy
AIED: Enhancing Educator Practice with AI
NEA (National Education Association)
AIED: Evidence-Based AI for Learning
NEA (National Education Association)
AIED: Foundations and Applications of AI
NEA (National Education Association)
AIED: Human-Centered Approaches to AI
NEA (National Education Association)
AIED: Student-Centered AI Literacy
NEA (National Education Association)
Artificial Intelligence for HR Professionals
HRCI (HR Certification Institute)
Artificial Intelligence in Accounting and Auditing
Learnsignal
Core Concepts of Artificial Intelligence for Accounting Professionals
AICPA & CIMA
Fundamentals of GenAI
ICAEW
Introduction to AI for Work
DataCamp
Introduction to generative AI in finance microcourse
CA ANZ
Preparing for tomorrow: horizon scanning and AI literacy
The Open University
Safe and effective use of AI in education
Chartered College of Teaching
Teaching AI in the Primary Classroom
Adelaide University (CSER STEM Professional Learning)
Teaching AI in the Secondary Classroom
Adelaide University (CSER STEM Professional Learning)
Understanding Generative AI
The Open University
Develop AI — for people who work in technology
AI foundations terms explained
Apart from artificial intelligence itself, these terms fall into two groups. Narrow intelligence, general intelligence, superintelligence and the technological singularity describe how capable AI is or might become; only narrow AI exists today. Symbolic AI, expert systems, the Turing test and AI winters come from the field's history: symbolic AI and expert systems are the rule-based approach that led the field from the 1950s into the 1980s, before most AI work moved to learning from data.
Learn AI covers how AI systems work, without building one; Use AI covers using AI tools, including courses for specific professions; Develop AI covers building AI systems in code.