AI Ethics Courses and Certifications

Trustworthy AI: Managing Bias, Ethics, and Accountability

14 ratings at Coursera

Compare human and machine bias, weigh risk-based against human-baseline approaches to responsible AI, and examine regulations, privacy, and case studies of AI adoption.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Practical Methodology and Ethics in AI

11 ratings at Coursera

Train, troubleshoot, and deploy deep learning models while addressing bias and fairness, and integrate structured probabilistic models to handle uncertainty and incomplete data.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

AI matters

50 ratings at OpenLearn

Artificial Intelligence (AI) represents great opportunity, but also significant disruption for modern societies and cultures. This free online short course investigates the historical, ethical and ...

• OpenLearn
• 6 hours
• Self-Paced
• Free Certificate

Ethics of Artificial Intelligence

1 rating

Apply ethical frameworks to problems created or transformed by AI, working through case studies, social and cultural issues, responsibility, and governance and policy challenges.

• Polimi OPEN KNOWLEDGE
• 4 weeks
• Self-Paced
• Free Certificate

AI Ethics and Policy

Examine how ethical concerns about AI become law: compare EU and US frameworks, analyze copyright, privacy, bias, labor and environmental harms, and design governance strategies.

• Coursera
• 5 weeks, 4 hours a week
• Self-Paced
• Paid Course

L’esplosione dell’Intelligenza Artificiale

82 ratings

Un’introduzione ai Large Language Models, dalle origini e dai principi di funzionamento fino all’impatto e alle implicazioni etiche, legali e regolatorie.

• Independent
• 30 hours
• Self-Paced
• Free Certificate

Ethics of Artificial Intelligence

Applies ethical frameworks to problems that AI creates, worsens, or transforms, working through case studies of responsibility and what it takes to trust AI.

• Polimi OPEN KNOWLEDGE
• Self-Paced
• Free Certificate

Ethical AI for Students

Unpack the ethical challenges of using Generative AI (GenAI) so you can confidently produce unbiased, accurate and transparent content.

• edX
• 4 weeks, 1-2 hours a week
• Self-Paced
• Free Online Course (Audit)

Identity, Agency, Equality and Security in the Age of AI

Examines how AI affects employment, security, privacy, bias, automated decision-making, and creativity through ethical and social perspectives.

• XuetangX
• Self-Paced
• Free Online Course

Ethics and Governance in the Age of Generative AI

Examine the ethics and governance of generative AI: bias and fairness metrics, technical strategies for bias reduction, responsible AI workflows across the model lifecycle, and RAI governance.

• Coursera
• 6 weeks, 4 hours a week
• Self-Paced
• Paid Course

Career Certificate

Microsoft Enterprise AI Governance, Ethics & Security

Apply ISO/IEC 42001, NIST AI RMF, GDPR and SOC 2 to design AI governance structures, evaluate ethical use cases, manage AI risks, and secure Azure Machine Learning deployments.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 5 courses

Coursera

Production AI Model Development and Ethics

Take models from experiment to production: build scikit-learn feature pipelines, refactor PyTorch into LightningModule and Trainer, and document systems with model cards.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Ethical Principles for Conversational AI

Learn about the impact and ethical challenges of conversational AI, while exploring the principles and frameworks needed to help avoid potential harm as humans interact with the technology.

• edX
• 7 weeks, 1-2 hours a week
• Self-Paced
• Free Online Course (Audit)

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Principles of Data Science Ethics

Concern about the harmful effects of machine learning algorithms and AI models (bias and more) has resulted in greater attention to the fundamentals of data ethics. This data science ethics course for

• edX
• 4 weeks, 4-5 hours a week
• Self-Paced
• Free Certificate

statistics.com

Applied Data Science Ethics

AI’s popularity has resulted in numerous well-publicized cases of bias, injustice, and discrimination. Often these harms occur in machine learning projects that have the best of goals, developed by da

• edX
• 4 weeks, 4-5 hours a week
• Self-Paced
• Free Certificate