Coursera MOOC / Non-credit 0

Responsible AI

Name: Responsible AI
Price: 49 USD
Availability: InStock

About this course

This specialization introduces you to Responsible AI—the principles, practices, and governance frameworks for building AI systems that are fair, transparent, accountable, and trustworthy. You will explore core concepts including algorithmic bias, fairness metrics, explainability, privacy, governance, and risk management. The specialization progresses from foundational responsible AI principles to practical implementation of fairness audits, explainability techniques, and AI governance frameworks aligned with global regulatory standards including the EU AI Act and NIST AI Risk Management Framework. You will learn to identify sources of bias in machine learning systems, measure fairness trade-offs, implement bias mitigation strategies, and apply explanation techniques like SHAP and LIME to communicate model behavior. Through hands-on demonstration videos, you will learn to design governance policies, create impact assessments, and develop frameworks for monitoring and managing AI risks throughout the model lifecycle. Whether you are an AI practitioner, business leader, or governance professional, this specialization equips you with practical skills to build responsible AI systems that maintain stakeholder trust and comply with emerging regulations.

75/100

CourseAsk score

What the provider tells you: 39/45
Who stands behind it: 20/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

identify sources of bias in machine learning systems
measure fairness trade-offs
implement bias mitigation strategies
apply explanation techniques like SHAP and LIME
design governance policies
create impact assessments
develop frameworks for monitoring and managing AI risks

Course objectives

understand core concepts of Responsible AI
progress from theoretical principles to practical applications in AI governance

Artificial Intelligence #risk management #ai ethics #privacy #governance #shap #lime #explainability #eu ai act #algorithmic bias #fairness metrics #NIST AI Risk Management Framework #stakeholder trust #AI compliance

$49.00

Price shown by Coursera — confirm on their site.

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