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CertNexus Certified Ethical Emerging Technologist Professional Certificate

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Course Features

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Duration

8 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Effort

3 hours per week

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Teaching Type

Self Paced

Course Description

CEET (certified ethical emerging technologist) is an industry-validated certification that helps professionals to earn higher salaries (25% average) and distinguish themselves from other job applicants. Governments and organizations are looking for ethics professionals to help them manage risk and guide their decisions about designing inclusive, responsible and trustworthy technology. A flawed algorithm that is not evaluated in accordance with ethical standards could lead to further inequity among the different races, genders, and marginalized groups. A company's reputation and financial health can be severely damaged by an ethics violation. It is essential to have a team of ethics leaders who are able to navigate the 160 guidelines and frameworks to find the right strategy for your organization. This specialization is for those who wish to lead and create ethically sound initiatives in emerging technology fields like artificial intelligence, data science, and data science. CEET Certification: Your journey 1) Complete the Coursera Certified Ethical Emerged Technologist Professional Certificat 2) Read the CEET CET110 Exam Blueprint (3) Register for your CEET Exam 4)

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Communicate effectively with diverse stakeholders about ethical safeguards, ethical risks, and mitigation strategies

Create, implement, and evaluate the organizational policies and governance structure required for ethical data-driven technologies

Detect and mitigate ethical risks in the design, development, and deployment of data-driven technologies

Apply ethical principles, frameworks, regulations, and standards utilized in data-driven technologies and analyze the challenges that may compromise their implementation

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