Certified Fair AI Developer (CFAD)

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Length: 2 days

Certified Fair AI Developer (CFAD)

The Certified Fair AI Developer (CFAD) certification validates skills in developing AI systems that are free from biases and ensure fairness in decision-making processes.

Learning Objectives

  • Understand the sources and impacts of bias in AI.
  • Implement techniques to detect and mitigate bias.
  • Ensure fairness in AI decision-making processes.
  • Develop fair AI models that comply with ethical guidelines.

Target Audience

  • AI developers and engineers
  • Data scientists and analysts
  • IT professionals involved in AI projects
  • Project managers overseeing AI initiatives

Program Modules

  1. Introduction to Bias in AI
  2. Detecting and Mitigating Bias
  3. Ensuring Fairness in AI
  4. Developing Fair AI Models
  5. Ethical and Legal Considerations
  6. Case Studies in Fair AI
  7. Best Practices for Fair AI

Exam Domains

  1. Understanding Bias in AI (25%)
  2. Detecting and Mitigating Bias (25%)
  3. Ensuring Fairness (20%)
  4. Developing Fair AI Models (20%)
  5. Ethical and Legal Compliance (10%)

Question Types

  • Multiple-Choice Questions (MCQs)
  • Scenario-Based Questions
  • Practical Exercises
  • Short Answer Questions

Passing Grade

70%

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