ICTQual AB Certified Generative Artificial Intelligence Gen AI Compliance Manager Certification

The ICTQual AB Certified Generative Artificial Intelligence (Gen AI) Compliance Manager Certification is a professional qualification designed to help organizations implement, monitor, and govern artificial intelligence systems in line with evolving regulatory, ethical, and operational requirements. As Generative AI becomes an integral part of business processes, organizations require skilled professionals who can ensure responsible AI deployment while maintaining transparency, accountability, and legal compliance.
Developed to address the growing demand for AI compliance expertise, this certification explores essential topics such as AI regulations, data governance, privacy protection, bias mitigation, ethical decision-making, security controls, documentation standards, and organizational AI policies. Participants gain the ability to evaluate AI systems, establish governance structures, conduct compliance assessments, and develop effective controls that support trustworthy AI implementation.
Earning the ICTQual AB Certified Generative Artificial Intelligence Gen AI Compliance Manager Certification demonstrates a strong commitment to responsible AI governance and regulatory excellence. It enhances career opportunities for compliance professionals, AI governance specialists, risk managers, auditors, IT leaders, and business decision-makers seeking to manage AI technologies responsibly. The certification prepares professionals to support sustainable AI adoption, strengthen stakeholder confidence, and contribute to the safe, ethical, and compliant use of Generative Artificial Intelligence within modern organizations.
Course Overview
Awarding Body
ICTQual AB
Duration
1 month
Study Mode
Online
Assessment
Assessment Based
Study Units
- Introduction to Generative AI Compliance and Legal Frameworks
- AI Governance Structures and Organizational Compliance Management
- Risk Assessment and Control in Generative AI Systems
- Data Privacy, Security Standards, and Responsible AI Usage
- AI Policy Development, Auditing, and Regulatory Monitoring
- Global Standards, Ethical Compliance, and AI Accountability Systems

Entry Requirements
- Minimum Age: 18 years or above.
- Educational Background: High school diploma or equivalent; a background in IT, business, law, or compliance is beneficial.
- Language Proficiency: Good written and spoken English.
- Work Experience: Prior experience in AI, IT, compliance, governance, risk, or auditing is advantageous but not mandatory.
Who Can Enroll
Generative Artificial Intelligence Gen AI Compliance Manager Certification is ideal for professionals and individuals seeking expertise in AI governance, compliance, and responsible Generative AI implementation.
- Compliance Managers and Compliance Officers
- AI Governance and Risk Professionals
- Information Security and Cybersecurity Specialists
- Data Privacy and Data Protection Professionals
- Internal and External Auditors
- Legal and Regulatory Compliance Professionals
- IT Managers and Digital Transformation Leaders
- Artificial Intelligence and Machine Learning Practitioners
- Business Executives and Decision-Makers
Course Learning Outcomes
Introduction to Generative AI Compliance and Legal Frameworks
- Explain the basic principles of Generative AI compliance and legal frameworks.
- Analyse how laws and regulations impact the use of Generative AI systems.
- Identify key compliance requirements for AI development and deployment.
- Demonstrate understanding of legal responsibilities in Generative AI environments.
AI Governance Structures and Organizational Compliance Management
- Explain the structure and function of AI governance systems in organizations.
- Analyse how compliance management supports safe and responsible AI use.
- Apply governance principles to ensure structured AI decision-making processes.
- Evaluate organizational compliance systems for effectiveness and reliability.
Risk Assessment and Control in Generative AI Systems
- Explain the concept of risk assessment in Generative AI systems.
- Analyse potential risks such as bias, data misuse, and system failure in AI applications.
- Apply risk control measures to reduce AI-related operational and ethical issues.
- Evaluate risk management strategies to ensure safe AI system performance.
Data Privacy, Security Standards, and Responsible AI Usage
- Explain the importance of data privacy and security in Generative AI systems.
- Analyse security threats and vulnerabilities in AI-driven environments.
- Apply data protection practices to ensure responsible use of AI technologies.
- Evaluate compliance with data protection laws and security standards.
AI Policy Development, Auditing, and Regulatory Monitoring
- Explain the process of AI policy development and implementation.
- Analyse auditing techniques used to monitor AI compliance and performance.
- Apply regulatory monitoring practices to ensure ongoing compliance.
- Evaluate the effectiveness of AI policies in maintaining organizational standards.
Global Standards, Ethical Compliance, and AI Accountability Systems
- Explain global standards and ethical principles for Artificial Intelligence systems.
- Analyse accountability frameworks used in AI governance and compliance.
- Apply ethical compliance practices to ensure transparency and fairness in AI use.
- Evaluate international guidelines for responsible and trustworthy AI systems.
