Responsible AI: AI Ethics, Governance & Compliance

Responsible AI: AI Ethics, Governance & Compliance helps professionals understand how to build and manage AI systems in a safe, ethical, and compliant way. It covers key principles such as fairness, transparency, accountability, privacy, and safety, along with major global frameworks and regulations like OECD, NIST, ISO 42001, GDPR, and the EU AI Act. The course also focuses on practical governance practices including risk management, auditing, monitoring, and ethical oversight across the AI lifecycle.

$39.99
  • 2.5 hours
  • English
  • Certificate
  • Online
Laptop displaying AI governance concepts with a blurred background

Course Overview

Responsible AI: AI Ethics, Governance & Compliance is designed to help professionals, teams, and organizations understand how artificial intelligence systems can be developed, managed, and monitored in a responsible way. The course introduces the foundations of AI systems, how they work, and the role AI plays in modern society.

Participants explore the core principles of responsible AI, including fairness, bias, accountability, transparency, explainability, privacy, safety, trust, and inclusive AI design. The course also covers global governance frameworks, standards, and regulatory systems, including OECD AI Principles, UNESCO ethical guidance, NIST AI Risk Management Framework, ISO 42001, IEEE standards, the EU AI Act, GDPR, and governance considerations for generative AI and foundation models.

For organizations, this Responsible AI course supports stronger AI governance, risk awareness, compliance readiness, and ethical oversight across the AI lifecycle. It also addresses data governance, model integrity, auditability, continuous monitoring, drift detection, ethics boards, governance committees, AI auditing, model cards, documentation standards, red-teaming, and ethical impact evaluation.

Course Includes

Participants receive structured knowledge aligned with the Responsible AI curriculum, including:

  • Foundations of AI systems and responsible AI

  • Core AI ethics principles and risk concepts

  • Global AI governance frameworks and standards

  • AI regulation and compliance awareness

  • AI lifecycle governance and monitoring topics

  • Organizational responsible AI tools and controls

  • Certificate upon successful completion

What You'll Learn

  • Understand responsible AI principles.
  • Identify fairness, bias, and discrimination risks.
  • Recognize accountability and responsibility issues.
  • Understand transparency and explainability concepts.
  • Assess privacy, safety, and inclusive design concerns.
  • Identify major AI governance frameworks.
  • Understand AI lifecycle governance and compliance.
  • Recognize AI auditing and documentation practices.

Requirements

No specific prior experience or qualifications are required to participate in this course. A general interest in artificial intelligence, ethics, governance, compliance, risk management, regulation, or digital transformation may be helpful.

Why Choose Us

This course is designed to provide clear, structured, and professionally relevant responsible AI knowledge for individuals and organizations, including:

  • Curriculum aligned with responsible AI adoption needs
  • Clear explanations of ethics, governance, and compliance
  • Coverage of global AI standards and regulations
  • Balanced focus on fairness, risk, and accountability
  • Practical understanding of AI lifecycle oversight
  • Support for professional development and upskilling
  • Content suitable for compliance, risk, legal, and leadership teams

Career path

This Responsible AI training supports professionals who need foundational knowledge of AI ethics, governance, compliance, risk, and organizational oversight, including:

  • AI Governance
  • Compliance Management
  • Risk Management
  • Data Governance
  • Internal Auditing
  • Legal and Regulatory Affairs
  • Information Security
  • Digital Transformation Leadership

The course is relevant for professionals involved in responsible AI adoption, AI policy development, ethical oversight, compliance planning, risk assessment, audit preparation, and organizational AI governance.

Certification

Certification

A certificate is issued upon successful completion of Responsible AI: AI Ethics, Governance & Compliance. This certificate demonstrates that participants have developed foundational knowledge of responsible AI, AI ethics, governance frameworks, regulatory awareness, lifecycle risk management, compliance controls, auditability, documentation, and ethical impact evaluation.

The certificate can support professional development records, internal training documentation, and individual learning portfolios. It may also help participants show their understanding of how AI systems can be governed responsibly and ethically in organizational environments.

Course Curriculum

6 sections20 lectures2.5 hours
▶ 1.1 Artificial Intelligence Systems and How They Work
▶ 1.2 Role of AI in Modern Society
▶ 1.3 What is Responsible AI and Why It Matters
▶ 1.4 Evolution of AI Governance Thinking
▶ Quiz
▶ 2.1 Fairness, Bias, and Algorithmic Discrimination
▶ 2.2 Accountability and Responsibility in AI Systems
▶ 2.3 Transparency, Explainability, and Trust in AI
▶ 2.4 Privacy, Safety, and Inclusive AI Design
▶ Quiz
▶ 3.1 OECD AI Principles and UNESCO Ethical Framework
▶ 3.2 NIST AI Risk Management Framework, ISO 42001, and IEEE Standards
▶ 3.3 EU AI Act, GDPR, and Global Regulatory Systems
▶ 3.4 Generative AI Governance and Foundation Model Oversight
▶ Quiz
▶ 4.1 AI Lifecycle Governance (Design to Retirement)
▶ 4.2 Bias, Data Governance, and Model Integrity Risks
▶ 4.3 Explainability, Transparency, and Auditability in AI Systems
▶ 4.4 Continuous Monitoring, Drift Detection, and Compliance Control
▶ Quiz
▶ 5.1 Responsible AI Frameworks in Enterprises
▶ 5.2 AI Ethics Boards, Governance Committees, and Decision Systems
▶ 5.3 AI Auditing, Model Cards, and Documentation Standards
▶ 5.4 AI Risk Assessment, Red-Teaming, and Ethical Impact Evaluation
▶ Quiz