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Ethical AI

Dive into ethical AI principles including fairness, transparency, bias reduction, and governance. Apply practical skills to develop responsible AI systems that promote trust and accountability.

  • Course
  • Intermediate
  • 19 hours
  • Updated: Mar 10, 2026

Subscription · Monthly

  • Cancel Anytime
  • Unlimited access to hundreds of top-rated courses
  • Hands-on projects with expert feedback
  • Personalized career coaching and interview prep
  • Program Certificates

Skills you'll learn

7 skills

  • Model bias analysis
  • Ethical AI
  • Explainable AI
  • AI Governance
  • AI Fairness

Prerequisites

6 prerequisites

Prior to enrolling, you should have the following knowledge:

  • AI fluency
  • Python data analysis libraries
  • Machine learning model implementation
  • Pandas
  • Data visualization

You will also need to be able to communicate fluently and professionally in written and spoken English.

Course Outline

  • 6 lessons
  • 1 project

Program Instructors

1 instructor

Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:

Ria Cheruvu

AI Software Architect

Ria Cheruvu

AI Software Architect

Subscription · Monthly

  • Cancel Anytime
  • Unlimited access to hundreds of top-rated courses
  • Hands-on projects with expert feedback
  • Personalized career coaching and interview prep
  • Program Certificates

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