Name: Artificial Intelligence (AI) Governance, Risk and Compliance
Rating: 4.7 (1076 reviews)

INTRODUCTION TO THE 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 KC Academy 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

COURSE DETAILS

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

TRAINING METHODOLOGY

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.

ORGANISATIONAL IMPACT

This Artificial Intelligence (AI) Governance, Risk and Compliance training course will help organisations:

Strengthen responsible and compliant AI deployment
Reduce legal, reputational, and operational risk exposure
Improve oversight, documentation, and accountability mechanisms
Enhance transparency and trust in automated decision-making
Align AI initiatives with governance and ethics standards
Prepare for evolving AI regulations and audit expectations

PERSONAL IMPACT

Participants attending this AI Governance, Risk and Compliance training course will benefit through:

Greater confidence in identifying and managing AI-related risks
Improved understanding of AI compliance frameworks
Stronger ethical reasoning and governance awareness
Enhanced ability to design responsible AI oversight processes
Better communication across technical and leadership teams
Increased credibility in AI governance functions

WHO SHOULD ATTEND?

This KC Academy 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

DAILY AGENDA

Day 1: Foundations of AI Governance

Understanding AI technologies and enterprise impact
The need for structured AI governance and oversight
Key components of AI governance frameworks
Governance across the AI lifecycle
Roles and accountability in AI oversight structures
Assessing organisational readiness for responsible AI

Day 2: Regulatory Landscape and Compliance Obligations

Overview of global and regional AI regulations
EU AI Act: classifications and compliance obligations
NIST AI Risk Management Framework principles
GDPR implications for AI transparency and data protection
Documentation, auditability, and transparency requirements
Preparing for future AI regulatory developments

Day 3: AI Risk Identification, Assessment, and Mitigation

Identifying operational, ethical, legal, and societal risks
Detecting bias, unfair outcomes, and algorithmic harms
Risk scoring and prioritisation techniques
Ensuring transparency, explainability, and traceability
Mitigation controls across data, model, and deployment stages
Monitoring and evaluating AI system performance

Day 4: Building an Enterprise AI Governance System

Designing AI governance policies and procedures
Creating oversight committees and accountability structures
Documentation and reporting requirements
Model validation, approval processes, and audit trails
Integrating AI governance with cybersecurity controls
Ensuring compliance for third-party AI solutions

Day 5: Responsible AI Implementation and Future Readiness

Embedding responsible AI principles into organisational culture
Developing workforce awareness and governance capability
Managing AI-driven change and communication challenges
Aligning AI governance with ESG and organisational values
Preparing for internal and external AI audits
Developing a long-term AI governance maturity roadmap

Certificate

On successful completion of this training course, KC ACademy Certificate will be awarded to the delegates.

ENROLL NOW

CLICK ON A DATE TO ENROLL AND SAVE YOUR SEAT

Amsterdam

11-15 May 2026

FEE: $5,950

Dubai

27-31 Jul 2026

FEE: $5,950

Doha

06-10 Sep 2026

FEE: $5,950

London

12-16 Oct 2026

FEE: $5,950

Riyadh

08-12 Nov 2026

FEE: $5,950

Dubai

14-18 Dec 2026

FEE: $5,950

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