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
• On-Demand
• Free Video

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
• On-Demand
• Free Certificate

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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video

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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video

AI Workflow: Feature Engineering and Bias Detection

77 ratings at Coursera

Learn feature engineering, bias detection, and unsupervised learning techniques for AI workflows. Gain skills in handling class imbalances, dimension reduction, and data visualization for effective pattern recognition and data mining.

• Coursera
• 12 hours 16 minutes
• On-Demand
• Paid Course

Responsible AI for Developers: Fairness & Bias

18 ratings at Coursera

Learn techniques to identify and mitigate fairness and bias issues in AI/ML practices using Google Cloud products and open-source tools, while implementing Responsible AI principles.

• Coursera
• 3 hours 22 minutes
• On-Demand
• Paid Course

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 a week
• On-Demand
• Free Online Course (Audit)

Responsible AI for Developers: Fairness & Bias - Español

Aprende a implementar IA responsable, identificar sesgos y promover la equidad en proyectos de IA/ML utilizando herramientas de Google Cloud y código abierto.

• Coursera
• 3 hours 46 minutes
• On-Demand
• Paid Course

Responsible AI for Developers: Fairness & Bias

Learn to identify and mitigate fairness and bias in AI/ML practices using Google Cloud products and open-source tools.

• edX
• 4 weeks, 4-5 hours a week
• On-Demand
• Free Online Course (Audit)

Generative AI: Fundamentals, Applications, and Challenges

203 ratings at Coursera

Explore generative AI's potential, applications, and challenges, gaining insights into its impact on business, society, and technology while addressing ethical considerations and risks.

• Coursera
• 2 hours 44 minutes
• On-Demand
• Paid Course

Responsible AI for Developers: Fairness & Bias

Explore responsible AI principles, focusing on fairness and bias mitigation in AI/ML practices using Google Cloud and open-source tools. Learn practical techniques for identifying and addressing bias.

• Google Skills
• 4 hours
• On-Demand
• Paid Course