{"@id":"https://credentialengineregistry.org/resources/ce-277fe13f-bd98-487e-8d96-ab46bf47700e","@type":"ceterms:Certification","@context":"https://credreg.net/ctdl/schema/context/json","ceterms:ctid":"ce-277fe13f-bd98-487e-8d96-ab46bf47700e","ceterms:name":{"en-US":"Information Security - Practitioner"},"ceterms:ownedBy":["https://credentialengineregistry.org/resources/ce-8ced6bfc-fb70-46f5-876c-f85785e7eb45"],"ceterms:offeredBy":["https://credentialengineregistry.org/resources/ce-8ced6bfc-fb70-46f5-876c-f85785e7eb45"],"ceterms:identifier":[{"@type":"ceterms:IdentifierValue","ceterms:identifierTypeName":{"en-US":"Source"},"ceterms:identifierValueCode":"Industry and Occupation codes derived from CareerOneStop's Certification Finder"}],"ceterms:inLanguage":["en"],"ceterms:description":{"en-US":"This certification is perfect for professionals who are new to the field of AI management. It covers fundamental concepts, ethical and regulatory requirements, risk assessments, and AI principles. By obtaining this certification, professionals can demonstrate understanding of AI management for further learning."},"ceterms:industryType":[{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://www.census.gov/naics/","ceterms:targetNode":"https://www.census.gov/naics/?input=5415\u0026year=2022\u0026details=5415","ceterms:codedNotation":"5415","ceterms:frameworkName":{"en-US":"NAICS"},"ceterms:targetNodeName":{"en-US":"Computer Systems Design and Related Services"},"ceterms:targetNodeDescription":{"en-US":"Computer Systems Design and Related Services"}}],"ceterms:occupationType":[{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://www.onetcenter.org/taxonomy.html","ceterms:targetNode":"https://onetonline.org/link/summary/15-2051.00","ceterms:codedNotation":"15-2051.00","ceterms:frameworkName":{"en-US":"Standard Occupational Classification"},"ceterms:targetNodeName":{"en-US":"Data Scientists"},"ceterms:targetNodeDescription":{"en-US":"Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports."}}],"ceterms:subjectWebpage":"https://treccert.com/certification-programs/artificial-intelligence/","ceterms:credentialStatusType":{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://credreg.net/ctdl/terms/CredentialStatus","ceterms:targetNode":"credentialStat:Active","ceterms:frameworkName":{"en-US":"Credential Status"},"ceterms:targetNodeName":{"en-US":"Active"},"ceterms:targetNodeDescription":{"en-US":"Awards of the credential are ongoing."}}}