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Coursera

Responsible AI Principles

via Coursera

Overview

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AI now influences important decisions across business, government, healthcare, finance, and everyday digital experiences. The Responsible AI Principles Certification is a practical, beginner-friendly course that helps professionals understand how to design, deploy, and manage AI systems that are ethical, transparent, fair, and accountable. This course focuses on real-world responsible AI workflows, including risk assessment, bias mitigation, privacy, transparency, documentation, monitoring, and incident response. You will explore key standards and practical methods for building safer AI across the full lifecycle, from data collection to deployment. Each module combines concise instruction with hands-on exercises, case studies, and policy templates. You will learn how to review AI systems, define governance processes, set measurable guardrails, and support safer decision-making. By the end, you will be able to assess AI risks, identify ethical concerns, apply responsible AI safeguards, and help build systems that protect users, reduce harm, and strengthen trust. Enroll online to build safe, fair, and accountable AI practices across your organization.

Syllabus

  • Module 1: Foundations of AI Ethics and Responsible AI
  • Module 2: Bias, Fairness, and Inclusion in AI
  • Module 3: Transparency, Explainability, and Documentation
  • Module 4: Privacy, Security, and AI Data Governance
  • Module 5: Accountability, Oversight, and AI Governance
  • Module 6: Legal, Regulatory, and Standards Landscape
  • Module 7: Generative AI, Agentic AI, and Responsible Deployment
  • Module 8: Capstone: AI Ethics Impact Assessment and Governance Plan
  • AI Agents for Ethics

Taught by

AI CERTs Team

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