"دورة تدريبية لحوكمة الذكاء الاصطناعي: الامتثال لإطارات الاتحاد الأوروبي و NIST"

This advanced training course provides a comprehensive overview of the EU Artificial Intelligence (AI) Act and the NIST AI Risk Management Framework (AI RMF), two landmark frameworks shaping the global regulatory and governance landscape of artificial intelligence.

Participants will gain deep, practical insights into how to build responsible, transparent, and compliant AI systems. The course explores key regulatory obligations under the EU AI Act, the risk-based approach to AI classification, and the NIST framework’s principles for trustworthy AI — including governance, accountability, risk mitigation, and human oversight.

By the end of the course, participants will be prepared to design, audit, and implement AI governance programs that ensure ethical, legal, and operational compliance across diverse sectors.

Section 1: The Global Landscape of AI Governance

• The rise of AI regulation and ethical AI governance.
• Comparing global frameworks: EU AI Act, NIST AI RMF, OECD AI Principles.
• Understanding the balance between innovation and compliance.
• Key challenges: accountability, bias, explainability, and data governance.

Section 2: Understanding the EU AI Act

• Overview and objectives of the EU AI Act.
• Classification of AI systems by risk level (unacceptable, high, limited, minimal).
• Compliance obligations for high-risk AI systems.
• Conformity assessments, CE marking, and post-market monitoring.
• Roles and responsibilities of providers, importers, and users.
• Preparing for enforcement and upcoming implementation phases.

Section 3: The NIST AI Risk Management Framework (AI RMF)

• Overview of NIST’s structure, principles, and functions.
• Core components: Govern, Map, Measure, and Manage.
• Identifying and mitigating risks across the AI lifecycle.
• Ensuring reliability, security, privacy, and fairness.
• Integrating AI RMF with existing risk management and cybersecurity frameworks (ISO 31000, NIST 800-53, ISO/IEC 42001).

Section 4: Building AI Governance and Compliance Programs

• Designing internal AI governance structures and accountability models.
• Policies for ethical AI: transparency, human oversight, and data integrity.
• Developing AI risk registers and control frameworks.
• Documentation and audit trails for regulatory readiness.
• Case studies: corporate AI governance models from leading organisations.

Section 5: Auditing, Assurance, and Future Readiness

• Preparing for AI audits and compliance reporting.
• The role of third-party audits and conformity assessments.
• Interaction between AI Act, GDPR, and cybersecurity standards.
• Managing cross-border compliance for multinational AI operations.
• The future of AI regulation — global harmonisation and sector-specific standards.

عند إتمام هذه الدورة التدريبية بنجاح، سيحصل المشاركون على شهادة إتمام التدريب من Holistique Training. وبالنسبة للذين يحضرون ويكملون الدورة التدريبية عبر الإنترنت، سيتم تزويدهم بشهادة إلكترونية (e-Certificate) من Holistique Training.  

شهادات Holistique Training معتمدة من المجلس البريطاني للتقييم (BAC) وخدمة اعتماد التطوير المهني المستمر (CPD)، كما أنها معتمدة وفق معايير ISO 9001 وISO 21001 وISO 29993.  

يتم منح نقاط التطوير المهني المستمر (CPD) لهذه الدورة من خلال شهاداتنا، وستظهر هذه النقاط على شهادة إتمام التدريب من Holistique Training. ووفقًا لمعايير خدمة اعتماد CPD، يتم منح نقطة CPD واحدة عن كل ساعة حضور في الدورة. ويمكن المطالبة بحد أقصى قدره 50 نقطة CPD لأي دورة واحدة نقدمها حاليًا.