CertNexus is the global purveyor of vendor neutral, emerging technology certifications and micro-credentials for IT, business, and security professionals. CertNexus’ exams meet the most rigorous development standards possible, which outline a global framework for developing personnel certification programs to narrow the widening skills gap.
CyberSAFE™ will enable candidates to identify the most common risks involved in using conventional, mobile, and cloud technologies, as well as how to protect themselves and organizations from cyber threats.
IRBIZ covers incident response methods and procedures which are taught in alignment with industry frameworks such as US-CERT’s NCISP (National Cyber Incident Response Plan), and Presidential Policy Directive (PPD) 41 on Cyber Incident Coordination Policy. It is ideal for candidates who have been tasked with managing compliance with state legislation and other regulatory requirements regarding incident response, and for executing standardized responses to such incidents.
With Cyber Secure Coder (CSC), candidates will learn about vulnerabilities that undermine security, and how to identify and remediate them in projects. Also learn general strategies for dealing with security defects and misconfiguration, how to design software to deal with the human element in security, and how to incorporate security into all phases of development.
CyberSec First Responder (CFR) is a comprehensive certification designed to validate the knowledge and skills required to protect critical information systems before, during, and after an incident. This exam will certify that candidates have the knowledge, and abilities to combat the changing threat landscape and are able to assess risks/vulnerabilities, acquire data, perform analysis, continuously communicate, determine scope, recommend remediation actions, and accurately report results. CFR has been developed in complianc with ANSI/ISO/IEC 17024 standards and is approved by the U.S. Department of Defense (DoD) to fulfill Directive 8570/8140 requirements.
IoTBIZ offers business leaders a streamlined course and associated credential to open collaboration and drive informed business decisions for their IoT strategy. IoTBIZ candidates will learn IoT terminology to understand the components of IoT infrastructure, uncover challenges for consideration, and discover the impact that IoT has on their organization.
Certified Internet of Things Practitioner (CIoTP) provides an understanding of how IoT components work with other systems that IT professionals typically have more experience working with – such as networks, cloud computing, applications running on servers, desktop computers, and mobile devices. Candidates will learn general strategies for planning, designing, developing, implementing, and maintaining an IoT system through various case studies and by assembling and configuring an IoT device to work in a sensor network. CIoTP has been developed in compliance with ANSI/ISO/IEC 17024 standards.
Certified Internet of Things Security Practitioner (CIoTSP) is designed for practitioners who are seeking to demonstrate a vendor-neutral, cross-industry skill set that will enable them to design, implement, operate, and/or manage a secure IoT ecosystem.
AIBIZ offers business leaders, project managers, and other stakeholders with a streamlined course and associated credential to drive their AI strategy. AIBIZ candidates will learn AI concepts, approaches to machine learning and deep learning, fundamentals of AI implementations, and the impact of AI including business use cases.
Certified Artificial Intelligence Practitioner (CAIP) and the corresponding training program is designed for information technology practitioners entering the field of artificial intelligence who are seeking to build a vendor-neutral, cross-industry foundational knowledge of AI concepts, technologies, algorithms, and applications that will enable them to become a capable practitioner in a wide variety of AI-related job functions.
Students will learn how to use tools that can control an avalanche of data. They’ll learn effective techniques to aggregate data into useful dimensions for analysis, statistical measurements, and to transform datasets into features for other systems.