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

Use AI — using AI, often in one profession

AI Deep Dive for Educators

ISTE

PaidBeginner

AI Deep(er) Dive for Educators

ISTE

PaidIntermediate

AI fluency

The Open University

FreeBeginner

AI for educators

Microsoft Learn

FreeBeginner

AI in Special Education

NEA (National Education Association)

FreeBeginner

AI literacy eLearn

PwC's Academy

PaidBeginner

AIED: Enhancing Educator Practice with AI

NEA (National Education Association)

FreeBeginner

AIED: Evidence-Based AI for Learning

NEA (National Education Association)

FreeBeginner

AIED: Foundations and Applications of AI

NEA (National Education Association)

FreeBeginner

AIED: Human-Centered Approaches to AI

NEA (National Education Association)

FreeBeginner

AIED: Student-Centered AI Literacy

NEA (National Education Association)

FreeBeginner

Artificial Intelligence for HR Professionals

HRCI (HR Certification Institute)

PaidBeginner

Artificial Intelligence in Accounting and Auditing

Learnsignal

PaidBeginner

Core Concepts of Artificial Intelligence for Accounting Professionals

AICPA & CIMA

PaidBeginner

Fundamentals of GenAI

ICAEW

PaidBeginner

Introduction to AI for Work

DataCamp

PaidBeginner

Introduction to generative AI in finance microcourse

CA ANZ

PaidBeginner

Preparing for tomorrow: horizon scanning and AI literacy

The Open University

FreeBeginner

Safe and effective use of AI in education

Chartered College of Teaching

FreeBeginner

Teaching AI in the Primary Classroom

Adelaide University (CSER STEM Professional Learning)

FreeBeginner

Teaching AI in the Secondary Classroom

Adelaide University (CSER STEM Professional Learning)

FreeBeginner

Understanding Generative AI

The Open University

FreeBeginner

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.