AI Skills Atlas 2026
A skills atlas is more than a catalog: it connects capabilities to domains, prerequisites, and adjacent concepts so you can see what to learn and in what order. This edition maps GenAI and data-science work using public sources, concrete examples, primary references, and editorial review.
What the AI Skills Atlas adds
Learning order
Prerequisite edges separate what must come first from context that is merely useful.
Understand the work
Each entry explains the mechanism, decisions, a concrete example, and the limits of applying the skill.
Connected context
Ontology links, role exposure, glossary terms, and learning references place each capability in a larger system.
Start from a target, then walk backward.
- Choose one of the 15 domains or search for a target skill.
- Open its hard prerequisites before medium and soft supporting knowledge.
- Read the example and limitations, then follow the sources to test your understanding.
A versioned research artifact, not a universal standard.
The map is scoped to GenAI / Data Science 2026. Definitions explain a capability, while examples and sources help you judge its fit for a particular problem. Learning relations guide navigation; they do not certify proficiency.