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AI Governance, Risk & Compliance (AI GRC) 

Build practical AI governance expertise with Network Binary’s AI Governance, Risk & Compliance program. Learn how frameworks such as ISO/IEC 42001, NIST AI RMF, and the EU AI Act support responsible AI deployment. Develop the ability to identify and manage AI risks, establish accountability, address bias and transparency, and support ongoing compliance throughout the AI lifecycle.
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Course Description

Key Takeaways
  • By completing this course, you will be able to: 
    • Understand key AI governance frameworks, including ISO/IEC 42001 and NIST AI RMF 
    • Identify, assess, and treat AI-related risks 
    • Establish accountability, ownership, and human oversight for AI systems 
    • Apply principles for fairness, explainability, bias assessment, and AI documentation 
    • Support ongoing AI compliance, incident management, and governance improvement 
Course Outline
  • AI governance frameworks: ISO/IEC 42001, NIST AI RMF, EU AI Act overview 
  • AI risk identification, assessment, and treatment — including bias and opacity risks 
  • Accountability structures, AI ownership models, and human oversight requirements 
  • Bias auditing, fairness testing, explainability, and documentation requirements 
  • AI compliance monitoring, incident management, and continuous improvement 
Duration

3 days

Exam Details

Course Completion Certificate by Network Binary

Who should attend
  • Risk and compliance professionals 
  • Information security professionals 
  • IT governance and audit professionals 
  • AI governance and risk managers 
  • Legal and regulatory professionals working with AI 
  • Technology leaders responsible for AI deployment 
Prerequisites
  • Basic understanding of risk, governance, compliance, or information security 
  • Familiarity with organizational policies and controls is beneficial 
  • Prior AI governance experience is not required 

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Our instructors

Mohammad Gufran Network Binary

MOHAMMED GUFRAN

17 years of Experience
Enterprise Networking | Network Security | Software Defined Networking & Automation

AKMAL YAZDANI

18+ years of Experience
Azure & AWS services |Managing and Implementing Windows servers

MUHAMMAD MUSAB

4+ Years of Experience
Cisco Technologies | Cisco and HPE ARUBA Technologies | Routing and Switching

RANIA GABRIEL GEORGE HAKIM

25+ years of Experience
Enterprise Networking | Network Security | Software Defined Networking & Automation
Microsoft Instructor and Windows Network Specialist

MOHD FARAZ HARMIS

25+ years of Experience
Managing and Implementing Microsoft Azure cloud | Active Directory

SHAHEEN AKHTAR

17 years of Experience
TCP | and UDP protocols, along | with expertise in firewalls such as Palo Alto

KUDDOOS ALI

14+ years of Experience
Experienced Network Engineer proficient in AFC | Aruba Central | Aruba CX switches

AAMIR MASOOD

6 years of Experience
AWS Compute | AWS Storage | AWS Database | AWS Management
Faizan Ahmad IT Advisor

FAIZAN AHMAD

7 years of Experience
Software support Issue Resolution | User assistance | Microsoft Active Directory
cisco Instructor in Dubai Saad shah

SAAD SHAH

10 years of Experience
Cisco Technologies | Routing and Swtiching | Data Center | Security

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FAQs

Which frameworks are covered?

The course covers ISO/IEC 42001, NIST AI RMF, and provides an overview of the EU AI Act.

Who should attend this course?

It is suitable for governance, risk, compliance, security, audit, legal, and technology professionals involved in AI.

Does the course cover AI risk assessment?

Yes. AI risk identification, assessment, treatment, bias, opacity, and accountability are covered.

Is prior AI governance experience required?

No, although a foundation in governance, risk, compliance, or information security is recommended.

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