AI Bias Courses and Certifications

AI Doctoral Academy

AI Bias Tutorial

Explore AI bias fundamentals through expert tutorials covering detection, mitigation strategies, and ethical implications in machine learning systems.

• YouTube
• 3 hours 42 minutes
• Self-Paced
• Free Video

Bias and Discrimination in AI

Explore bias and discrimination in AI, covering types, fairness metrics, affected fields, and mitigation strategies. Learn from experts about ethical challenges in machine learning and algorithm design.

• edX
• 4 weeks, 4-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Privacy, Bias, and Fairness in AI

Explore privacy concerns, bias detection, and fairness frameworks in AI systems while learning practical mitigation techniques for responsible algorithmic design.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Introduction to Artificial Intelligence (AI)

22884 ratings at Coursera

Explore AI fundamentals, applications, and ethical considerations. Learn about machine learning, neural networks, and generative AI. Gain insights into AI's impact on various industries and future career opportunities.

• Coursera
• 12 hours 58 minutes
• Self-Paced
• Paid Course

Association for Computing Machinery (ACM)

AI Self-Preferencing in Algorithmic Hiring - Empirical Evidence and Insights

Explore how AI systems exhibit self-preferencing behaviors in hiring algorithms through empirical research and data-driven insights from ACM experts.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

Trustworthy AI: Managing Bias, Ethics, and Accountability

12 ratings at Coursera

Explore ethical AI development through bias analysis, risk mitigation, and regulatory frameworks while gaining practical insights for building fair and accountable artificial intelligence systems.

• Coursera
• 16 hours 46 minutes
• Self-Paced
• Paid Course

Alexander Amini;  MIT

AI Bias and Fairness

Comprehensive exploration of AI bias and fairness, covering types, sources, and mitigation strategies. Examines interpretation-driven and data-driven biases, feature bias, and advanced debiasing techniques for ethical AI development.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Responsible AI Practices

Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.

• DataCamp
• 2 hours
• Self-Paced
• Free Trial Available

AI & Data Literacy for the Federal Workforce

Develop confidence with AI and data through hands-on training covering verification frameworks, ethics, prompt engineering, and responsible AI use in real government workplace scenarios.

• Noble Desktop
• 19th May, 2026
• $675.00

AI Prompt Engineering for the Workforce

Master practical AI prompt engineering skills for professional settings, covering effective prompt design, output evaluation, ethical considerations, and responsible AI use in government workflows.

• Noble Desktop
• 5th May, 2026
• $675.00

Strange Loop Conference

Fight AI Bias With Bias

Explore techniques to de-bias datasets and build fair, equitable AI systems. Learn how to address biases, increase trust, and promote responsible AI practices for improved adoption and safety.

• YouTube
• 47 minutes
• Self-Paced
• Conference Talk

Unraveling AI Bias - Principles and Practices

Explore essential principles and practices for identifying, addressing, and preventing AI bias while understanding the crucial role of AI governance in developing fair systems.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Discover AI

Beyond the Weights - Hidden Patterns of AI in Multi-Agent Persona-Induced Bias

Explore persona-induced bias in multi-agent AI systems and uncover hidden patterns affecting social interactions and decision-making processes.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

North Carolina School of Science and Mathematics

Ethics and Leadership in AI: Addressing Bias and Shaping the Future - 2020 NCSSM Conference Keynote

Explore AI ethics, bias, and societal impact with tech leader Phaedra Boinodiris. Gain insights on data privacy, future skills, and the role of education in shaping ethical AI development and implementation.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

Trusted and Responsible AI - Explainability, Adversarial Attacks, Bias, and Fairness

Explore key aspects of responsible AI: explainability, adversarial challenges, bias mitigation, and fairness. Learn strategies for building trustworthy and ethical AI systems in real-world applications.

• YouTube
• 37 minutes
• Self-Paced
• Free Video