Webinar

Josh Bersin + Degreed - Skills, AI, and the Future of Learning

The skills you need to innovate faster

Workera’s AI-powered skill ontology and precise learning domains give you
the data needed to upskill and drive your business forward.

Trusted by global enterprises to help build a future-proof organization

Workera's skill ontology

Related Skills

The granular skills ontology offered within the Workera platform
ensures you receive high-quality data on your workforce.

What is a skill ontology?

An ontology is a set of skills and their relationships between one another. Ontologies allow organizations to define and measure relationships between skills, jobs, and people by creating a common understanding across a variety of dimensions.

 

For example, the definition and terminology used to describe a data scientist can vary across individuals, teams, and companies. An ontology aggregates data to recognize when different individuals, teams, and companies are talking about the same thing despite using different terminology.

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Why Workera's ontology is smarter

Workera has developed the industry's most granular skill ontology, spanning thousands of skills, and always evolving to keep you on the cutting edge of technology.


Our team of subject matter experts and psychometricians build skills frameworks for each relevant domain that we measure. Each skill within these models is tied to something that can be measured accurately on Workera. It’s what powers our ability to measure employees on the skills that actually matter to the work that they do.

 

  • Better talent decisions through objective and granular skills data
  • A continuous pulse check with AI-powered skill measurement
  • Out-of-the-box competency models
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Technology Skills

The domains we offer

Workera's domains span technology, including data science, AI, software and more.
As the industry evolves, so do the domains we offer and the skills we measure.

Data Science

Data Science

Mathematics

Business Analytics

Software Engineering

Algorithmic Coding

Machine Learning

Deep Learning

Data Mining

Cloud Computing

Databases and Pipelines

Data structures and Algorithms

Distributed Computing

Operating Systems

Software Architectures

IT Infrastructure

MLOps Culture

Data Governance

R

SQL

Artificial Intelligence

Data Science

Mathematics

Business Analytics

Software Engineering

Data Mining

Cloud Computing

Databases and Pipelines

Data structures and Algorithms

Distributed Computing

Operating Systems

Software Architectures

IT Infrastructure

Responsible AI

Deep Learning

Computer Vision

Speech Recognition

AI Explainability

AI Fairness

AI Reliability

AI Accountability

MLOps Culture

Tensorflow

Pytorch

Software Engineering

Software Engineering

Data Mining

Cloud Computing

Databases and Pipelines

Algorithms and Data Structures

Distributed Computing

Operating Systems

Software Architecture

IT Infrastructure

Cybersecurity

JavaScript

Java

C++

Cloud Computing

Software Engineering

Cloud Computing

Distributed Computing

Operating Systems

AWS

Azure

Cyber Security

Software Engineering

Cloud Computing

Distributed Computing

Operating Systems

IT Infrastructure

Python

Data Literacy and Fluency

Digital Literacy

Intro to Data Analytics

Computational Thinking

Data Analytics

Data Decision-Making

Data Communication

Data Auditing

AI Literacy and Fluency

Digital Literacy

Communicating About AI

Computational Thinking

Data Analytics

Data Decision-Making

Data Communication

Data Auditing

Programming Languages

Python

R

SQL

TensorFlow

Pytorch

Spark

JavaScript

Java

C++

Tools

AWS

Azure

Power BI

Tableau

.Net

GCP

Understand. Develop. Mobilize.

Stay on the cutting edge
of technology with Workera

See how Workera's granular skills ontology can help you accurately measure your workforce and quickly adapt to industry evolution.