Explainable AI Courses and Certifications

Artificial Intelligence Privacy and Convenience

109 ratings at Coursera

Explore what anonymity really means in machine learning: secure datasets, add privacy protections to existing data, and build transparent, explainable models with ethical tradeoffs.

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

Career Certificate

Informed Clinical Decision Making using Deep Learning

36 ratings at Coursera

Apply deep learning to electronic health records: mine the MIMIC III database, build explainable predictive models, and weigh bias, fairness and privacy in clinical decision support systems.

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

Clinical Decision Support Systems

Evaluate machine learning models for clinical decision support: external validation, calibration, fairness metrics, decision curve analysis, explainability, and privacy and adversarial attacks on deep learning.

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

Clinical Decision Support Systems

Evaluate machine learning models for clinical decision support: external validation, calibration, fairness metrics, decision curve analysis, explainability, and privacy attacks on deep learning models.

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

Responsible AI Practices

59 ratings at Coursera

Learn responsible AI practices: define its core dimensions, use AWS tools when selecting models and preparing data, and weigh safety against transparency and explainability.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Free Online Course

Coursera

Interpretable Machine Learning Applications: Part 2

35 ratings at Coursera

Explain individual predictions, not whole models: apply Local Interpretable Model-agnostic Explanations (LIME) to add explainability to machine learning classifiers such as regression models.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

Career Certificate

Responsible AI for Developers

32 ratings at Coursera

Build responsible AI systems: detect and mitigate model bias, interpret predictions, and apply differential privacy, federated learning, and generative AI safety measures.

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

Fractal Analytics

Responsible AI - Principles and Ethical Considerations

29 ratings at Coursera

Learn the six principles of Responsible AI: spot and mitigate bias in the ML pipeline, build transparency and explainability, detect drift, and apply Privacy by Design.

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

Coursera Career Certificate

Building Trustworthy AI

20 ratings at Coursera

Secure and govern AI systems: threat-model inference endpoints against prompt injection, run ethical audits, apply SHAP and LIME, and build NIST-aligned model risk frameworks.

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

Responsible AI for Developers: Interpretability & Transparency

13 ratings at Coursera

Learn why AI transparency matters for developers and apply practical techniques and tools to make both data and AI models interpretable.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Edureka Career Certificate

Responsible AI

6 ratings at Coursera

Learn to build trustworthy AI: identify bias in ML systems, measure fairness trade-offs, apply SHAP and LIME explanations, and design governance aligned with the EU AI Act and NIST AI RMF.

• Coursera
• 8 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 3 courses

Responsible and Ethical AI

Design trustworthy AI systems: mitigate bias, handle data privacy risks, make models transparent and explainable, and apply the NIST AI Risk Management Framework, EU AI Act, and GDPR.

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

Coursera

AI-Driven Financial Planning, Forecasting, and Automation

Build zero-based budgets, multi-year P&L projections, and stress-test scenarios, then forecast metrics with supervised learning, SHAP explanations, and automated SEC-filing pipelines.

• Coursera
• 11 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

Responsible AI: Transparency & Ethics

Audit AI models for bias with AI Fairness 360, apply SHAP and LIME for explainability, and evaluate projects against the NIST AI Risk Management Framework.

• Coursera
• 3 hours 8 minutes
• Self-Paced
• Paid Course

Board Infinity

AI Risk and Compliance: Audit and Governance Foundations

Red team AI systems with Giskard, classify them under the EU AI Act and NIST AI RMF, apply SHAP and LIME, and deploy guardrails and Presidio.

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