Prepare yourself for the Artificial Intelligence (AI) Governance, Risk and Compliance course

This Artificial Intelligence (AI) Governance, Risk and Compliance training course provides a comprehensive foundation for managing AI responsibly, ethically, and securely across organisations. As AI systems become more embedded in operational processes, decision-making, and customer interactions, leaders must ensure that these technologies operate within structured governance frameworks that mitigate risks and align with regulatory expectations.

Participants will explore AI lifecycle governance, accountability structures, ethical and regulatory requirements, risk management models, and compliance standards shaping global AI use. The training course examines emerging legislation such as the EU AI Act, NIST AI Risk Management Framework, and regional data protection regulations. Participants will learn how to identify and mitigate risks, strengthen oversight, and integrate AI accountability practices into organisational governance.

This Aicademy Artificial Intelligence (AI) Governance, Risk and Compliance training course will highlight:

  • Enterprise-level AI governance structures and accountability roles
  • Global regulations and compliance obligations for AI systems
  • AI risk assessment, mitigation, and monitoring frameworks
  • Managing fairness, transparency, bias, and explainability
  • Integrating responsible AI practices into organisational processes

The learning journey

Course Summary Outline

Day 1

Foundations of AI Governance

Day 2

Regulatory Landscape and Compliance Obligations

Day 3

AI Risk Identification, Assessment, and Mitigation

Day 4

Building an Enterprise AI Governance System

Day 5

Responsible AI Implementation and Future Readiness

Key Learning Outcomes and Objectives?

At the end of this AI Governance, Risk and Compliance training course, you will learn to:

  • Establish governance frameworks to oversee AI systems responsibly
  • Identify and mitigate risks associated with AI models and algorithms
  • Apply global regulatory requirements for ethical and compliant AI
  • Strengthen transparency, documentation, and accountability practices
  • Integrate AI governance into enterprise-wide risk and compliance systems

The Excentra Learning Approach

This Artificial Intelligence (AI) Governance, Risk and Compliance training course uses a practical methodology blending instructor-led sessions, regulatory analysis, risk evaluation exercises, collaborative dialogue, and scenario-based exploration. Participants evaluate real-world AI cases, analyse compliance requirements, and design governance controls aligned with organisational maturity.

Excentra capability map

Six capabilities, and how far this course takes each one

Every Excentra course is mapped against the same six AI capabilities, so you can see at a glance what a course builds and compare it with any other in the catalogue.
01

Data Intelligence

Data lineage and quality appear as control requirements, not as practised skills.
02

Intelligent Monitoring

Risk scoring, bias indicators and performance monitoring used to build the risk matrix.
03

Document Intelligence

Governance documentation is drafted by you; language models are not used to produce it.
04

Workflow & Agent Design

Approval and validation workflows are governed, not built as AI-assisted automations.
05

Responsible Implementation

Oversight, controls, policies and audit trails built, challenged and defended all week.
06

Business Transformation

Culture, capability and a maturity roadmap produced for your organisation on day five.

Is This Course Right for You?

This Aicademy Artificial Intelligence (AI) Governance, Risk and Compliance training course is ideal for professionals responsible for AI, risk, compliance, or governance, including:

  • AI Governance Leaders and Ethics Officers
  • Risk and Compliance Managers
  • Data Protection and Privacy Officers
  • IT Governance and Cybersecurity Professionals
  • Digital Transformation and AI Strategy Leaders
  • Regulators, Auditors, and Policy Advisors

Frequently Asked Questions

The Artificial Intelligence (AI) Governance, Risk and Compliance training course explains how to oversee AI systems responsibly, ethically and securely throughout their lifecycle. Participants will learn to establish governance frameworks, define accountability structures and identify risks associated with AI models and algorithms. The course also covers regulatory compliance, documentation, transparency and the integration of AI oversight into enterprise-wide risk and compliance systems.
This course is intended for professionals with responsibilities spanning AI, governance, risk, compliance, privacy, cybersecurity or organisational policy. Relevant participants include AI governance leaders, ethics officers, risk and compliance managers, data protection officers, IT governance professionals and digital transformation leaders. Regulators, auditors and policy advisers can also use the course to strengthen their understanding of responsible AI oversight and emerging compliance expectations.
The course helps participants understand how to create enterprise-level structures for responsible AI oversight and clear accountability. It addresses governance across the AI lifecycle, including defined roles, documentation, monitoring and decision-making responsibilities. This knowledge can support organisations in embedding AI accountability within existing governance processes rather than treating it as a separate technical concern.
Participants will examine global regulatory requirements and compliance standards shaping organisational use of AI. Specific areas include the EU AI Act, the NIST AI Risk Management Framework and regional data protection regulations. The course explains how these requirements relate to ethical AI use, governance controls, documentation, accountability and preparations for evolving regulatory and audit expectations.
The training course develops participants’ understanding of how to identify risks arising from AI models, algorithms and organisational deployment. It covers risk assessment, mitigation and monitoring frameworks that can strengthen oversight throughout the AI lifecycle. Participants will also learn how AI-related legal, reputational and operational risks can be incorporated into wider enterprise risk and compliance arrangements.
Yes, the course addresses fairness, bias, transparency and explainability as central elements of responsible AI governance. Participants will learn why these issues matter when AI supports operational processes, customer interactions and automated decision-making. The content connects these principles with stronger documentation, ethical reasoning, accountability mechanisms and organisational trust in AI-enabled decisions.
Participants will learn how to align responsible AI practices with enterprise-wide governance, risk and compliance systems. The course covers accountability roles, governance controls, documentation standards and monitoring approaches that support integration across organisational processes. This helps professionals connect AI oversight with existing leadership, privacy, cybersecurity, compliance and risk management responsibilities.
The course creates a shared understanding of AI governance responsibilities across technical, compliance and leadership functions. It helps participants communicate more effectively about model risks, regulatory obligations, ethical concerns, documentation and accountability. This cross-functional perspective is particularly relevant to professionals responsible for translating technical AI issues into governance decisions, compliance controls and organisational policies.

Related Training Courses

Data Governance, Privacy & Integrity in Artificial Intelligence (AI)
Virtual Cohort

Data Governance, Privacy & Integrity in Artificial Intelligence (AI)

Safeguarding Data Integrity, Security, and Compliance in AI-Powered Organizations
23 - 27 Nov 2026
Online
Fee

$4,950

View Details
Artificial Intelligence (AI) Standards and Risk Management Frameworks (RMF)
In-Person

Artificial Intelligence (AI) Standards and Risk Management Frameworks (RMF)

Mastering ISO/IEC AI Standards and the NIST AI Risk Management Framework for Responsible AI Governance
09 - 13 Nov 2026
Amsterdam
Fee

$5,950

View Details
Artificial Intelligence (AI) Regulations - EU AI Act
In-Person

Artificial Intelligence (AI) Regulations - EU AI Act

Mastering AI Risk Governance, Compliance, and Best Practices Under the EU AI Act
23 - 27 Nov 2026
Milan
Fee

$5,950

View Details
Artificial Intelligence (AI) Powered Risk & Fraud Detection
Virtual Cohort

Artificial Intelligence (AI) Powered Risk & Fraud Detection

Mastering AI for Advanced Risk Management, Threat Detection, and Fraud Prevention
07 - 11 Dec 2026
Online
Fee

$4,950

View Details
Artificial Intelligence (AI) Governance, Risk and Compliance
Virtual Cohort

Artificial Intelligence (AI) Governance, Risk and Compliance

Building Responsible, Secure, and Accountable AI Frameworks for Modern Organisations
14 - 18 Dec 2026
Online
Fee

$4,950

View Details
Shadow Artificial Intelligence (AI) & the Intelligent Enterprise
Virtual Cohort

Shadow Artificial Intelligence (AI) & the Intelligent Enterprise

Strategic AI Adoption, Governing Hidden Risks, Protecting Data, and Unlocking Sustainable Innovation
16 - 20 Nov 2026
Online
Fee

$4,950

View Details