Artificial Intelligence Governance And Risk Management

Develop the knowledge and practical skills required to govern artificial intelligence responsibly, manage AI risks, and support compliant AI adoption with our Artificial Intelligence Governance, Risk, and Compliance course. Artificial intelligence is transforming how organisations operate, make decisions, and deliver...
2-4 hours Content
20 Lessons
Certificate Included
Lifetime Access
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Artificial Intelligence Governance And Risk Management

Course Description

Develop the knowledge and practical skills required to govern artificial intelligence responsibly, manage AI risks, and support compliant AI adoption with our Artificial Intelligence Governance, Risk, and Compliance course.

Artificial intelligence is transforming how organisations operate, make decisions, and deliver services. However, AI adoption introduces complex challenges involving privacy, security, fairness, transparency, accountability, and regulatory compliance. Effective AI governance helps organisations balance innovation with responsible risk management.

The Artificial Intelligence Governance, Risk, and Compliance course provides practical guidance on AI governance principles, risk assessment, lifecycle management, accountability structures, compliance obligations, and control frameworks. Learners will explore how organisations can establish AI governance programs, manage AI risks, and implement responsible AI practices.

Participants will gain practical knowledge of AI impact assessments, risk registers, model governance, generative AI risks, privacy considerations, security controls, regulatory expectations, and assurance activities. This course is designed for AI professionals, risk managers, compliance specialists, technology leaders, auditors, executives, and professionals responsible for AI adoption and oversight.

What you'll learn

By completing this Artificial Intelligence Governance, Risk, and Compliance Training, you will learn how to:

  • Understand AI governance principles and organisational responsibilities.
  • Apply responsible AI and trustworthy AI practices.
  • Develop AI governance frameworks, policies, and controls.
  • Identify strategic, operational, privacy, and security AI risks.
  • Conduct AI risk assessments and impact evaluations.
  • Understand AI lifecycle management and accountability requirements.
  • Apply AI compliance frameworks and regulatory approaches.
  • Support AI monitoring, assurance, and continuous improvement activities.

Requirements

There are no formal prerequisites required to complete this course.

Course Curriculum

  • Topic 1 — AI Governance Purpose, Scope, and Business Value
  • Topic 2 — AI Lifecycle Roles and Decision-Making Authority
  • Topic 3 — Responsible AI Principles and Trustworthy System Design
  • Topic 4 — Governance Structures, Policies, and Accountability Models
  • Quiz
  • Topic 1 — Strategic, Operational, and Reputational AI Risks
  • Topic 2 — Bias, Privacy, Human Rights, and Consumer Harm
  • Topic 3 — Model Performance, Security, and Generative AI Risks
  • Topic 4 — Impact Assessments, Risk Registers, and Control Priorities
  • Quiz
  • Topic 1 — EU AI Act and High-Risk AI Requirements
  • Topic 2 — Privacy, Profiling, and Automated Decision-Making Law
  • Topic 3 — Employment, Consumer, Equality, and Product Liability
  • Topic 4 — Global Regulatory Approaches and Cross-Border Compliance
  • Quiz
  • Topic 1 — NIST AI Risk Management Framework
  • Topic 2 — ISO/IEC 42001 and AI Management Systems
  • Topic 3 — Data Governance, Model Validation, and Documentation
  • Topic 4 — Third-Party, Generative, and Agentic AI Controls
  • Quiz
  • Topic 1 — Performance Monitoring, Drift, Incidents, and Escalation
  • Topic 2 — AI Audit, Assurance, and Certification
  • Topic 3 — Board Oversight, Three Lines, and Regulatory Reporting
  • Topic 4 — Governance Maturity, Metrics, and Continuous Improvement
  • Quiz

Frequently Asked Questions

AI Governance, Risk, and Compliance training helps professionals understand how organisations can manage AI risks, establish governance structures, and support responsible AI implementation.

AI governance helps organisations manage risks related to privacy, security, bias, transparency, accountability, and regulatory compliance while enabling responsible innovation.

You will learn AI governance frameworks, risk assessments, lifecycle controls, responsible AI principles, compliance requirements, monitoring practices, and assurance approaches.

This course is suitable for AI professionals, risk managers, compliance teams, cybersecurity specialists, auditors, technology leaders, and business decision-makers.

Organisations can improve AI governance through clear accountability, AI policies, risk assessments, security controls, documentation, monitoring, and continuous improvement practices.