AI GRC Training: Governance, Risk and Compliance for AI

Name: AI & GRC Mastery: Legal, Risk, and Compliance Excellence
Availability: InStock

Artificial Intelligence & GRC: Mastering Legal and Risk Challenges

AI GRC Training: Governance, Risk and Compliance for AI

At a glance

Duration: 1 Week
Format: Classroom
Cities: Toronto, Vienna, Dubai, Doha, Athens, Marbella and more
Next session: 15 – 19 November 2026, Toronto
Average fee: 5,600 €

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AI & GRC Mastery: Legal, Risk, and Compliance Excellence

Course Overview

This corporate training program, AI in Governance: Legal & Compliance Frameworks Training Course, bridges the gap between emerging artificial intelligence technologies and the legal, regulatory, and compliance frameworks shaping their use globally and within the GCC region. Participants will gain a solid foundation in artificial intelligence, from simplified explanations of machine learning, neural networks, and dataset bias, to understanding key metrics like accuracy, precision, recall, and F1 score. Practical demonstrations, such as training a simple model on Google Colab, will help participants grasp technical basics before transitioning into advanced governance and compliance modules.

The course then shifts to the global and regional governance landscape, focusing on NIST AI RMF, the EU AI Act, OECD AI Principles, ISO/IEC 42001, and GCC data protection laws. Participants will learn to map obligations into practical compliance artifacts, develop AI use policies, manage vendor contracts, and perform DPIAs and FRIAs tailored to Gulf regulations. By the end of the program, attendees will not only understand AI systems conceptually but also master governance tools, cross-border data transfer compliance, board reporting requirements, and ISO/IEC 42001 readiness. This comprehensive learning journey ensures professionals are prepared to navigate AI governance with confidence, compliance, and strategic foresight.

Target Audience

Legal counsels and compliance officers
Governance, risk, and compliance (GRC) professionals
Data protection officers (DPOs)
Corporate lawyers and contract managers
Policy makers and regulators
AI program managers and governance officers
Board members and senior executives overseeing AI adoption

Targeted Organizational Departments

Legal & Compliance Departments
Governance, Risk & Audit Functions
IT Security & Data Protection Units
Policy & Regulatory Affairs Teams
Corporate Strategy & Innovation Divisions
AI/Technology Program Management Offices

Targeted Industries

Financial services and banking
Government and public sector institutions
Healthcare and pharmaceuticals
Energy and utilities
Telecommunications and technology providers
Multinational corporations handling cross-border data flows

Course Offerings

By the end of this course, participants will be able to:

Explain AI fundamentals, including ML, neural networks, dataset bias, and performance metrics.
Conduct basic demonstrations of AI models while identifying governance risks.
Map and interpret global and GCC AI regulatory frameworks (NIST AI RMF, EU AI Act, OECD, ISO/IEC 42001).
Develop AI use policies, privacy disclosures, and contract clauses for vendor management.
Perform DPIAs/FRIAs tailored to GCC data laws.
Build compliance matrices and cross-border transfer assessments.
Prepare assurance documentation, governance KPIs, and board reports.
Defend compliance evidence in a mock ISO/IEC 42001 readiness audit.

Training Methodology

This course blends technical simplification with legal and compliance rigor to ensure accessibility for non-technical legal and governance professionals. Sessions begin with simplified introductions to AI concepts (machine learning, data, neural networks) supported by hands-on exercises like training a simple model in Google Colab. This technical foundation ensures participants can converse with stakeholders across IT, governance, and legal domains.

Interactive lectures and presentations will contextualize global frameworks (NIST AI RMF, EU AI Act, OECD AI Principles, ISO/IEC 42001) and GCC regulations (Saudi, UAE, Qatar, Bahrain, Oman). Practical exercises include drafting AI use policies, preparing vendor addendums, completing DPIA/FRIA checklists, and simulating board reporting. Workshops encourage collaborative learning, while case studies demonstrate regulatory enforcement and best practices in AI governance. Reflection & Review sessions close each day, consolidating learnings into actionable takeaways. This integrated methodology ensures participants acquire not only theoretical understanding but also practical, audit-ready governance and compliance skills.

Course Toolbox

Participant workbook with frameworks, templates, and checklists
Google Colab demo environment for simple AI training exercises
DPIA/FRIA checklist tailored for GCC compliance
AI vendor addendum template (data use, transparency, SLAs)
Compliance matrix builder (EU/GCC/NIST/ISO)
Board reporting sample metrics and templates
Case study briefs for group exercises

(Note: Tools are provided as examples and insights, not licensed software.)

Course Agenda

Day 1: Foundations of AI & Machine Learning

Topic 1: Introduction to Artificial Intelligence and its relevance to governance
Topic 2: Simplified explanation of machine learning and neural networks
Topic 3: Types of machine learning (supervised, unsupervised, reinforcement)
Topic 4: Understanding data types and dataset bias in governance contexts
Topic 5: Metrics in AI: Accuracy, Precision, Recall, F1 score simplified for legal use
Reflection & Review: Key takeaways on AI fundamentals and governance risks

Day 2: AI Systems, Bias & Privacy Risks

Topic 1: How AI works: Data → Training → Model → Deployment
Topic 2: Hands-on demo: Training a simple model in Google Colab
Topic 3: Dataset bias and fairness metrics (Disparate Impact, Equal Opportunity)
Topic 4: Sensitive data leakage during training and governance controls
Topic 5: Data anonymization and differential privacy explained for compliance
Topic 6: Monitoring and logging: ensuring ongoing compliance in AI systems
Reflection & Review: Lessons learned from demos and privacy frameworks

Day 3: Global & GCC AI Governance Frameworks

Topic 1: Global frameworks: NIST AI RMF, EU AI Act, OECD AI Principles
Topic 2: ISO/IEC 42001 (AIMS) and certifiable AI governance
Topic 3: GCC data/AI laws: Saudi PDPL, UAE PDPL, Qatar PDPPL, Bahrain, Oman
Topic 4: Actor roles and duties: providers, deployers, importers, distributors
Topic 5: Transparency, human oversight, and cross-border transfer checkpoints
Reflection & Review: Drafting a two-page legal brief (global + GCC compliance)

Day 4: Risk-Based Governance & Policy Implementation

Topic 1: Translating obligations into lifecycle governance controls
Topic 2: AI use policy: scope, roles, fairness, human-in-the-loop
Topic 3: Privacy obligations: rights, retention, disclosures, breach notifications
Topic 4: Contracts & vendor management (DPAs, audit rights, data-use restrictions)
Topic 5: Building a multi-framework compliance matrix with traceability
Reflection & Review: Practical workshops on DPIA/FRIA checklist + AI vendor addendum

Day 5: Assurance, Documentation & ISO Readiness

Topic 1: Required documentation packs: AI policy, risk register, model cards, monitoring
Topic 2: Incident response planning and post-deployment governance
Topic 3: Internal audit and ISO/IEC 42001 certification pathways
Topic 4: Board reporting: KPIs, risk metrics, transparency reports
Topic 5: Capstone: Mock ISO-style audit and board briefing
Reflection & Review: Consolidation of assurance skills and governance frameworks

FAQ

What specific qualifications or prerequisites are needed for participants before enrolling in the course?

No prior technical AI expertise is required. Participants should have a background in legal, compliance, policy, or governance. A general understanding of corporate risk management or data protection will be beneficial but not mandatory.

How long is each day's session, and is there a total number of hours required for the entire course?

Each day's session is structured to last around 4–5 hours, with breaks and interactive activities included. The total course duration spans one week, approximately 20–25 hours of instruction.

How This Course is Different from Other AI Governance Courses

Unlike purely technical AI courses or narrowly legal compliance seminars, the AI in Governance: Legal & Compliance Frameworks Training Course offers a dual-lens approach: first simplifying AI fundamentals for legal and compliance professionals, and then directly mapping these technical basics into governance and regulatory frameworks. This ensures participants not only understand “what AI is” but also “how to govern it.”

The program uniquely integrates global frameworks (NIST AI RMF, EU AI Act, OECD AI Principles, ISO/IEC 42001) with region-specific GCC regulations (Saudi, UAE, Qatar, Bahrain, Oman). Participants receive practical compliance tools such as DPIA/FRIA checklists, vendor addendums, and board reporting templates, all tailored to Gulf regulatory landscapes. The inclusion of hands-on demos, workshops, and mock audits ensures practical readiness, setting this course apart from lecture-only programs.

By the end, attendees walk away not just with knowledge, but with actionable governance strategies, compliance documentation examples, and the confidence to advise executives and boards on AI adoption risks and opportunities. This holistic blend of technical grounding, legal interpretation, and practical application makes the course distinctive and highly impactful.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 1-20 of 89 events

Location	Dates	Duration	Mode	Price
Toronto	Week 46, 2026 15 – 19 November 2026	1 Week	Onsite	€12,000
Vienna	Week 47, 2026 16 – 20 November 2026	1 Week	Onsite	€5,700
Dubai	Week 47, 2026 22 – 26 November 2026	1 Week	Onsite	€4,500
Doha	Week 47, 2026 22 – 26 November 2026	1 Week	Onsite	€5,500
Athens	Week 50, 2026 7 – 11 December 2026	1 Week	Onsite	€6,700
Marbella	Week 50, 2026 13 – 17 December 2026	1 Week	Onsite	€5,700
Kuala Lumpur	Week 53, 2026 28 December 2026 – 1 January 2027	1 Week	Onsite	€5,200
Barcelona	Week 53, 2026 28 December 2026 – 1 January 2027	1 Week	Onsite	€5,700
Madrid	Week 01, 2027 4 – 8 January 2027	1 Week	Onsite	€5,700
Doha	Week 01, 2027 9 – 13 January 2027	1 Week	Onsite	€5,500
Doha	Week 01, 2027 10 – 14 January 2027	1 Week	Onsite	€5,500
Madrid	Week 01, 2027 10 – 14 January 2027	1 Week	Onsite	€5,700
Nice	Week 02, 2027 11 – 15 January 2027	1 Week	Onsite	€5,700
Accra	Week 02, 2027 17 – 21 January 2027	1 Week	Onsite	€4,100
London	Week 03, 2027 18 – 22 January 2027	1 Week	Onsite	€5,700
Manama	Week 03, 2027 24 – 28 January 2027	1 Week	Onsite	€4,700
Phuket	Week 03, 2027 24 – 28 January 2027	1 Week	Onsite	€6,000
Casablanca	Week 05, 2027 1 – 5 February 2027	1 Week	Onsite	€4,100
Paris	Week 05, 2027 1 – 5 February 2027	1 Week	Onsite	€5,700
Tokyo	Week 06, 2027 8 – 12 February 2027	1 Week	Onsite	€10,000