{"product_id":"artificial-intelligence-governance-risk-management-and-compliance-implementer-ai-grc-implementer","title":"AI GRC Implementer","description":"\u003ch2 class=\"MsoNormal\"\u003e\u003cb\u003e AI GRC Implementer\u003c\/b\u003e\u003c\/h2\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003e\u003cbr\u003eAccreditation: \u003cbr\u003e\u003c\/b\u003eThis course is certified by Exemplar Global, an affiliate to the American Society for Quality (ASQ) and ASQExcellence, that offers certifications to individuals as well as training organizations in the field of management system standards.\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003ca href=\"https:\/\/www.credly.com\/badges\/8e251aeb-2c28-447b-b1ef-09fd28c2a5d3\/public_url\" title=\"Safeshield - Recognised Training Provider (RTP)\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eVerify\u003c\/a\u003e\u003cbr\u003e\u003cbr\u003e\u003ca href=\"https:\/\/www.safeshield.cloud\/exemplar-global-recognized-training-provider\" title=\"Safeshield Training is an Exemplar Global Recognized Training Provider\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eLearn more about our certificate program accreditation.\u003c\/a\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e \u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003eMaster the implementation and management of Artificial Intelligence Governance, Risk Management, and Compliance programs\u003c\/b\u003e\u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\" align=\"center\" class=\"MsoNormal\"\u003e\u003chr align=\"center\" width=\"100%\" size=\"2\"\u003e\u003c\/div\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003eWhy should you attend?\u003c\/b\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003eArtificial Intelligence (AI) is transforming organizations across every sector. With this rapid adoption comes an urgent need for structured \u003cb\u003egovernance, risk management, and compliance (GRC)\u003c\/b\u003e to ensure AI is developed and deployed responsibly, ethically, and in compliance with global regulations.\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003eThe \u003cb\u003eSafeshield AI GRC Implementer\u003c\/b\u003e training course is your pathway to mastering the implementation of \u003cb\u003eAI governance, risk, and compliance programs\u003c\/b\u003e aligned with leading international frameworks such as \u003cb\u003eISO\/IEC 42001\u003c\/b\u003e, \u003cb\u003eISO\/IEC 42005\u003c\/b\u003e, \u003cb\u003eISO\/IEC 23894\u003c\/b\u003e, the \u003cb\u003eNIST AI Risk Management Framework\u003c\/b\u003e, and the \u003cb\u003eEU Artificial Intelligence Act\u003c\/b\u003e.\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003eThis comprehensive course equips professionals with the competencies required to design, implement, audit, and continually improve AI governance frameworks that promote \u003cb\u003etransparency, fairness, accountability, and privacy\u003c\/b\u003e. It bridges regulatory requirements with practical implementation methodologies, empowering participants to lead AI GRC initiatives confidently and effectively.\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003eUpon successfully completing the course and passing the exam, participants will earn the \u003cb\u003eSafeshield AI GRC Implementer\u003c\/b\u003e Certificate of Attainment—demonstrating their ability to implement responsible and standards-aligned AI governance programs.\u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\" align=\"center\" class=\"MsoNormal\"\u003e\u003chr align=\"center\" width=\"100%\" size=\"2\"\u003e\u003c\/div\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003eWho should attend?\u003c\/b\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003eThis training course is intended for:\u003c\/p\u003e\n\u003cul type=\"disc\" style=\"margin-top: 0cm;\"\u003e\n\u003cli style=\"mso-list: l2 level1 lfo1; tab-stops: list 36.0pt;\" class=\"MsoNormal\"\u003eProfessionals responsible for overseeing and managing AI governance, risk, or compliance functions\u003c\/li\u003e\n\u003cli style=\"mso-list: l2 level1 lfo1; tab-stops: list 36.0pt;\" class=\"MsoNormal\"\u003eConsultants advising on AI governance and regulatory alignment strategies\u003c\/li\u003e\n\u003cli style=\"mso-list: l2 level1 lfo1; tab-stops: list 36.0pt;\" class=\"MsoNormal\"\u003eData protection and privacy officers managing AI-related compliance obligations\u003c\/li\u003e\n\u003cli style=\"mso-list: l2 level1 lfo1; tab-stops: list 36.0pt;\" class=\"MsoNormal\"\u003eRisk analysts and internal auditors assessing AI system risks and controls\u003c\/li\u003e\n\u003cli style=\"mso-list: l2 level1 lfo1; tab-stops: list 36.0pt;\" class=\"MsoNormal\"\u003eAI ethics officers, compliance managers, and policy advisors involved in responsible AI development\u003c\/li\u003e\n\u003cli style=\"mso-list: l2 level1 lfo1; tab-stops: list 36.0pt;\" class=\"MsoNormal\"\u003eData scientists, engineers, and IT professionals implementing trustworthy AI systems\u003c\/li\u003e\n\u003cli style=\"mso-list: l2 level1 lfo1; tab-stops: list 36.0pt;\" class=\"MsoNormal\"\u003eBusiness process, BPM, and GRC professionals integrating AI into corporate processes\u003c\/li\u003e\n\u003cli style=\"mso-list: l2 level1 lfo1; tab-stops: list 36.0pt;\" class=\"MsoNormal\"\u003eExecutives and decision-makers seeking to align AI adoption with ethical and legal standards\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv style=\"text-align: center;\" align=\"center\" class=\"MsoNormal\"\u003e\u003chr align=\"center\" width=\"100%\" size=\"2\"\u003e\u003c\/div\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003eTraining course content\u003c\/b\u003e\u003c\/p\u003e\n\u003ctable style=\"width: 488.8pt; border-collapse: collapse; border: none; mso-border-alt: solid #666666 .5pt; mso-border-themecolor: text1; mso-border-themetint: 153; mso-yfti-tbllook: 1184; mso-padding-alt: 0cm 5.4pt 0cm 5.4pt;\" width=\"652\" cellpadding=\"0\" cellspacing=\"0\" border=\"1\" class=\"MsoTable15List4\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"mso-yfti-irow: -1; mso-yfti-firstrow: yes; mso-yfti-lastfirstrow: yes;\"\u003e\n\u003ctd style=\"width: 488.8pt; border: solid #666666 1.0pt; mso-border-themecolor: text1; mso-border-themetint: 153; mso-border-alt: solid #666666 .5pt; background: white; mso-background-themecolor: background1; padding: 0cm 5.4pt 0cm 5.4pt;\" width=\"652\"\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 5;\" class=\"MsoNormal\"\u003e\u003cb\u003e\u003ci\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003e\u003cbr\u003eModule 1 — AI fundamentals\u003c\/span\u003e\u003c\/i\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/b\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003e\u003cbr\u003eThis module introduces the foundations of AI, including its history, key technologies (machine learning, deep learning, NLP, computer vision, and generative AI), and ethical principles such as fairness, transparency, accountability, and privacy. It also explains major global governance frameworks (ISO\/IEC 42001, NIST AI RMF, EU AI Act, OECD, and UNESCO) and the AI lifecycle, showing how governance and compliance apply from design to decommissioning.\u003cbr style=\"mso-special-character: line-break;\"\u003e\u003c!-- [if !supportLineBreakNewLine]--\u003e\u003cbr style=\"mso-special-character: line-break;\"\u003e\u003c!--[endif]--\u003e\u003c\/span\u003e\u003cspan style=\"color: white; mso-themecolor: background1;\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"mso-yfti-irow: 0;\"\u003e\n\u003ctd style=\"width: 488.8pt; border: solid #666666 1.0pt; mso-border-themecolor: text1; mso-border-themetint: 153; border-top: none; mso-border-top-alt: solid #666666 .5pt; mso-border-top-themecolor: text1; mso-border-top-themetint: 153; mso-border-alt: solid #666666 .5pt; background: white; mso-background-themecolor: background1; padding: 0cm 5.4pt 0cm 5.4pt;\" width=\"652\"\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e\u003ci\u003e \u003c\/i\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e\u003cb\u003e\u003ci\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eModule 2 — Introduction to AI governance, risk management, and compliance\u003c\/span\u003e\u003c\/i\u003e\u003c\/b\u003e\u003ci\u003e\u003c\/i\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eThis module explores how organizations manage the risks and responsibilities of AI through governance structures, compliance frameworks, and risk management practices. It introduces the core functions of AI GRC and explains how accountability, transparency, fairness, and privacy guide ethical and legal use of AI. The module also highlights stakeholder roles, governance tools, and the importance of aligning AI initiatives with business goals, international standards, and continuous improvement requirements.\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"mso-yfti-irow: 1;\"\u003e\n\u003ctd style=\"width: 488.8pt; border: solid #666666 1.0pt; mso-border-themecolor: text1; mso-border-themetint: 153; border-top: none; mso-border-top-alt: solid #666666 .5pt; mso-border-top-themecolor: text1; mso-border-top-themetint: 153; mso-border-alt: solid #666666 .5pt; background: white; mso-background-themecolor: background1; padding: 0cm 5.4pt 0cm 5.4pt;\" width=\"652\"\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 4;\" class=\"MsoNormal\"\u003e\u003ci\u003e \u003c\/i\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 4;\" class=\"MsoNormal\"\u003e\u003cb\u003e\u003ci\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eModule 3 — The AI regulatory landscape\u003c\/span\u003e\u003c\/i\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/b\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eThis module examines major international and national AI regulations, including the EU AI Act, NIST AI RMF, ISO\/IEC 42001, ISO\/IEC 42005, OECD AI Principles, and other emerging frameworks. It compares risk-based and sectoral approaches, conformity assessments, and assurance mechanisms. The module highlights how organizations can navigate overlapping obligations across jurisdictions and align governance, risk management, and compliance practices to meet ethical, legal, and operational expectations in a rapidly evolving global regulatory environment.\u003cb\u003e \u003c\/b\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 4;\" class=\"MsoNormal\"\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"mso-yfti-irow: 2;\"\u003e\n\u003ctd style=\"width: 488.8pt; border: solid #666666 1.0pt; mso-border-themecolor: text1; mso-border-themetint: 153; border-top: none; mso-border-top-alt: solid #666666 .5pt; mso-border-top-themecolor: text1; mso-border-top-themetint: 153; mso-border-alt: solid #666666 .5pt; background: white; mso-background-themecolor: background1; padding: 0cm 5.4pt 0cm 5.4pt;\" width=\"652\"\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e\u003ci\u003e \u003c\/i\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e\u003cb\u003e\u003ci\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eModule 4 — AI trust, risk, and security management (AI TRiSM) framework\u003c\/span\u003e\u003c\/i\u003e\u003c\/b\u003e\u003ci\u003e\u003c\/i\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eThis module introduces Gartner’s AI TRiSM framework, which unites trust, risk, and security management across the AI lifecycle. It explains TRiSM’s pillars (transparency, accountability, fairness, robustness, and governance) and shows how they align with ISO\/IEC 42001, ISO\/IEC 42005, and the NIST AI RMF. The module covers key elements such as KRIs, KCIs, risk tolerance, red teaming, and risk registers, illustrating how TRiSM operationalizes trustworthy, secure, and compliant AI through integrated governance and continuous monitoring.\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003e \u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"mso-yfti-irow: 3;\"\u003e\n\u003ctd style=\"width: 488.8pt; border: solid #666666 1.0pt; mso-border-themecolor: text1; mso-border-themetint: 153; border-top: none; mso-border-top-alt: solid #666666 .5pt; mso-border-top-themecolor: text1; mso-border-top-themetint: 153; mso-border-alt: solid #666666 .5pt; background: white; mso-background-themecolor: background1; padding: 0cm 5.4pt 0cm 5.4pt;\" width=\"652\"\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 4;\" class=\"MsoNormal\"\u003e\u003ci\u003e \u003c\/i\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 4;\" class=\"MsoNormal\"\u003e\u003cb\u003e\u003ci\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eModule 5 — Alignment and integration of AI standards\u003c\/span\u003e\u003c\/i\u003e\u003c\/b\u003e\u003ci\u003e\u003c\/i\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 4;\" class=\"MsoNormal\"\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eExplores how organizations can reduce duplication and strengthen compliance by integrating overlapping requirements from frameworks such as ISO\/IEC 42001, the EU AI Act, and the NIST AI RMF. Covers control mapping, synergy identification, and conflict resolution across standards. Emphasizes harmonized documentation, integrated Statements of Applicability (SoAs), and sector-specific adaptations. The module also introduces automation and GRC tools for monitoring, reporting, and continuous improvement, supported by practical exercises in aligning controls and managing conflicts.\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 4;\" class=\"MsoNormal\"\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"mso-yfti-irow: 4;\"\u003e\n\u003ctd style=\"width: 488.8pt; border: solid #666666 1.0pt; mso-border-themecolor: text1; mso-border-themetint: 153; border-top: none; mso-border-top-alt: solid #666666 .5pt; mso-border-top-themecolor: text1; mso-border-top-themetint: 153; mso-border-alt: solid #666666 .5pt; background: white; mso-background-themecolor: background1; padding: 0cm 5.4pt 0cm 5.4pt;\" width=\"652\"\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e\u003ci\u003e \u003c\/i\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e\u003cb\u003e\u003ci\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eModule 6 — Designing and implementing AI GRC programs\u003c\/span\u003e\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eExplains how structured governance policies and documentation form the foundation of AI GRC programs. Covers creating policies aligned with ethical principles, legal requirements, and organizational objectives, ensuring version control, and integrating them into governance processes. Describes how to link policies across multiple frameworks, maintain a central repository, and use documentation to support risk management, audits, and coordination. Includes practical exercises on policy drafting, Statement of Applicability (SoA) structuring, and control record organization\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e\u003cs\u003e\u003cspan style=\"text-decoration: none;\"\u003e \u003c\/span\u003e\u003c\/s\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"mso-yfti-irow: 5;\"\u003e\n\u003ctd style=\"width: 488.8pt; border: solid #666666 1.0pt; mso-border-themecolor: text1; mso-border-themetint: 153; border-top: none; mso-border-top-alt: solid #666666 .5pt; mso-border-top-themecolor: text1; mso-border-top-themetint: 153; mso-border-alt: solid #666666 .5pt; background: white; mso-background-themecolor: background1; padding: 0cm 5.4pt 0cm 5.4pt;\" width=\"652\"\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 4;\" class=\"MsoNormal\"\u003e\u003ci\u003e \u003c\/i\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 4;\" class=\"MsoNormal\"\u003e\u003cb\u003e\u003ci\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eModule 7 — \u003c\/span\u003e\u003c\/i\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eArtificial Intelligence Management Systems (AIMS)\u003c\/span\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 4;\" class=\"MsoNormal\"\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eExplores how AIMS under ISO\/IEC 42001 establish structured governance for AI across its lifecycle. Focuses on defining governance roles, oversight bodies, and decision-making authority, and integrating AI oversight into existing GRC systems. Covers scope definition, policy creation, auditing, Statements of Applicability (SoA), stakeholder engagement, and change management. Emphasizes how clear accountability, coordinated roles, and continuous improvement strengthen trust, reduce risk, and ensure responsible AI governance.\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 4;\" class=\"MsoNormal\"\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"mso-yfti-irow: 6;\"\u003e\n\u003ctd style=\"width: 488.8pt; border: solid #666666 1.0pt; mso-border-themecolor: text1; mso-border-themetint: 153; border-top: none; mso-border-top-alt: solid #666666 .5pt; mso-border-top-themecolor: text1; mso-border-top-themetint: 153; mso-border-alt: solid #666666 .5pt; background: white; mso-background-themecolor: background1; padding: 0cm 5.4pt 0cm 5.4pt;\" width=\"652\"\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e\u003ci\u003e \u003c\/i\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e\u003cb\u003e\u003ci\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eModule 8 — \u003c\/span\u003e\u003c\/i\u003e\u003c\/b\u003e\u003cb\u003e\u003ci\u003e\u003cspan style=\"mso-fareast-font-family: 'Myriad Pro'; mso-bidi-font-family: 'Myriad Pro'; color: black; mso-color-alt: windowtext;\"\u003eMethodology for the Implementation of the AIMS\u003c\/span\u003e\u003c\/i\u003e\u003c\/b\u003e\u003cb\u003e\u003cspan style=\"mso-ascii-font-family: Aptos; mso-fareast-font-family: Aptos; mso-hansi-font-family: Aptos; mso-bidi-font-family: Aptos;\"\u003e\u003c\/span\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eDescribes a structured, standards-based approach for planning, deploying, and maintaining an AIMS aligned with ISO\/IEC 42001. Covers readiness assessments, leadership and culture, resource planning, and control design. Explains phased implementation, third-party oversight, documentation control, and performance measurement. Details audit readiness, management reviews, corrective actions, and certification preparation. Emphasizes evidence-based governance, continuous improvement, and integration with existing GRC processes to ensure resilient, transparent, and certifiable AI governance across the enterprise.\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"mso-yfti-irow: 7;\"\u003e\n\u003ctd style=\"width: 488.8pt; border: solid #666666 1.0pt; mso-border-themecolor: text1; mso-border-themetint: 153; border-top: none; mso-border-top-alt: solid #666666 .5pt; mso-border-top-themecolor: text1; mso-border-top-themetint: 153; mso-border-alt: solid #666666 .5pt; background: white; mso-background-themecolor: background1; padding: 0cm 5.4pt 0cm 5.4pt;\" width=\"652\"\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 4;\" class=\"MsoNormal\"\u003e\u003ci\u003e \u003c\/i\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 4;\" class=\"MsoNormal\"\u003e\u003cb\u003e\u003ci\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eModule 9 —AI GRC platforms\u003c\/span\u003e\u003c\/i\u003e\u003c\/b\u003e\u003ci\u003e\u003c\/i\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 4;\" class=\"MsoNormal\"\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eExplains how GRC platforms manage AI governance across the lifecycle, from risk assessment to multi-framework compliance. Covers core capabilities such as automation, monitoring, control mapping, and evidence collection, integrated with organizational workflows. Reviews platform selection, implementation, and third-party and cross-jurisdiction risk management. Addresses limitations like over-reliance on automation and integration gaps and outlines best practices for scaling and optimization. Includes case studies showing how platforms enhance compliance efficiency, transparency, and accountability. \u003cbr style=\"mso-special-character: line-break;\"\u003e\u003c!-- [if !supportLineBreakNewLine]--\u003e\u003cbr style=\"mso-special-character: line-break;\"\u003e\u003c!--[endif]--\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"mso-yfti-irow: 8;\"\u003e\n\u003ctd style=\"width: 488.8pt; border: solid #666666 1.0pt; mso-border-themecolor: text1; mso-border-themetint: 153; border-top: none; mso-border-top-alt: solid #666666 .5pt; mso-border-top-themecolor: text1; mso-border-top-themetint: 153; mso-border-alt: solid #666666 .5pt; background: white; mso-background-themecolor: background1; padding: 0cm 5.4pt 0cm 5.4pt;\" width=\"652\"\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e\u003ci\u003e \u003c\/i\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e\u003cb\u003e\u003ci\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eModule 10 — Auditing the AIMS\u003c\/span\u003e\u003c\/i\u003e\u003c\/b\u003e\u003ci\u003e\u003c\/i\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eExplains how to plan, conduct, and follow up on audits of an AIMS in alignment with ISO\/IEC 42001, the NIST AI RMF, and the EU AI Act. Covers audit scope, criteria, and evidence collection using risk-based and evidence-based methods. Outlines key stages and addresses control effectiveness, nonconformities, and corrective actions. Emphasizes documentation, transparency, and continual improvement to ensure accountable, ethical, and compliant AI governance across the lifecycle. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"mso-yfti-irow: 9;\"\u003e\n\u003ctd style=\"width: 488.8pt; border: solid #666666 1.0pt; mso-border-themecolor: text1; mso-border-themetint: 153; border-top: none; mso-border-top-alt: solid #666666 .5pt; mso-border-top-themecolor: text1; mso-border-top-themetint: 153; mso-border-alt: solid #666666 .5pt; background: white; mso-background-themecolor: background1; padding: 0cm 5.4pt 0cm 5.4pt;\" width=\"652\"\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 4;\" class=\"MsoNormal\"\u003e\u003ci\u003e \u003c\/i\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 4;\" class=\"MsoNormal\"\u003e\u003cb\u003e\u003ci\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eModule 11 — Practical applications and case studies\u003c\/span\u003e\u003c\/i\u003e\u003c\/b\u003e\u003ci\u003e\u003c\/i\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 4;\" class=\"MsoNormal\"\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eApplies AI GRC principles to real-world contexts across sectors such as healthcare, finance, public administration, and education. Examines case studies using ISO\/IEC 42001, the NIST AI RMF, and the EU AI Act to identify governance successes and failures. Covers bias mitigation, transparency, oversight, and remediation practices. Includes interactive exercises on workflow mapping, stakeholder accountability, and audit remediation to strengthen practical understanding of how effective AI GRC frameworks operate in organizational environments.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-indent: -85.1pt; line-height: 115%; mso-yfti-cnfc: 4; margin: 0cm 0cm 0cm 15.3pt;\" class=\"MsoNormal\"\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"mso-yfti-irow: 10;\"\u003e\n\u003ctd style=\"width: 488.8pt; border: solid #666666 1.0pt; mso-border-themecolor: text1; mso-border-themetint: 153; border-top: none; mso-border-top-alt: solid #666666 .5pt; mso-border-top-themecolor: text1; mso-border-top-themetint: 153; mso-border-alt: solid #666666 .5pt; background: white; mso-background-themecolor: background1; padding: 0cm 5.4pt 0cm 5.4pt;\" width=\"652\"\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e\u003ci\u003e \u003c\/i\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e\u003cb\u003e\u003ci\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eModule 12 — Emerging trends and future directions in AI GRC\u003c\/span\u003e\u003c\/i\u003e\u003c\/b\u003e\u003ci\u003e\u003c\/i\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eExplores how emerging technologies, evolving regulations, and organizational priorities are redefining AI GRC. Reviews trends such as generative and adaptive AI, regulatory convergence, ethical integration into corporate strategy, and advanced monitoring and auditing tools. Examines how these developments transform compliance and governance structures while emphasizing agility, sustainability, and continual improvement. Includes scenario-based analysis of emerging risks, innovation opportunities, and strategies for building future-ready, standards-aligned AI governance programs.\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 68;\" class=\"MsoNormal\"\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"mso-yfti-irow: 11; mso-yfti-lastrow: yes;\"\u003e\n\u003ctd style=\"width: 488.8pt; border: solid #666666 1.0pt; mso-border-themecolor: text1; mso-border-themetint: 153; border-top: none; mso-border-top-alt: solid #666666 .5pt; mso-border-top-themecolor: text1; mso-border-top-themetint: 153; mso-border-alt: solid #666666 .5pt; background: white; mso-background-themecolor: background1; padding: 0cm 5.4pt 0cm 5.4pt;\" width=\"652\"\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 4;\" class=\"MsoNormal\"\u003e\u003ci\u003e \u003c\/i\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 4;\" class=\"MsoNormal\"\u003e\u003cb\u003e\u003ci\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eGlossary\u003c\/span\u003e\u003c\/i\u003e\u003c\/b\u003e\u003ci\u003e\u003c\/i\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: normal; mso-yfti-cnfc: 4;\" class=\"MsoNormal\"\u003e\u003cspan style=\"color: black; mso-color-alt: windowtext;\"\u003eDefines key terms, acronyms, and concepts used throughout the course to ensure consistency and clarity in understanding AI governance, risk management, and compliance terminology.\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp style=\"margin-bottom: 0cm; line-height: 115%; mso-yfti-cnfc: 4;\" class=\"MsoNormal\"\u003e\u003cb\u003e\u003ci\u003e \u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"font-size: 11.0pt; line-height: 115%;\"\u003e \u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\" align=\"center\" class=\"MsoNormal\"\u003e\u003chr align=\"center\" width=\"100%\" size=\"2\"\u003e\u003c\/div\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003eLearning objectives\u003c\/b\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003eUpon successfully completing the training course, you will be able to:\u003c\/p\u003e\n\u003cul type=\"disc\" style=\"margin-top: 0cm;\"\u003e\n\u003cli style=\"mso-list: l0 level1 lfo2; tab-stops: list 36.0pt;\" class=\"MsoNormal\"\u003eExplain the foundational concepts and principles of Artificial Intelligence and responsible AI governance.\u003c\/li\u003e\n\u003cli style=\"mso-list: l0 level1 lfo2; tab-stops: list 36.0pt;\" class=\"MsoNormal\"\u003eInterpret key global frameworks and standards, including ISO\/IEC 42001, ISO\/IEC 42005, ISO\/IEC 23894, NIST AI RMF, and the EU AI Act.\u003c\/li\u003e\n\u003cli style=\"mso-list: l0 level1 lfo2; tab-stops: list 36.0pt;\" class=\"MsoNormal\"\u003eDesign and implement effective AI GRC programs aligned with organizational strategy and regulatory requirements.\u003c\/li\u003e\n\u003cli style=\"mso-list: l0 level1 lfo2; tab-stops: list 36.0pt;\" class=\"MsoNormal\"\u003eEstablish, operate, and maintain an Artificial Intelligence Management System (AIMS).\u003c\/li\u003e\n\u003cli style=\"mso-list: l0 level1 lfo2; tab-stops: list 36.0pt;\" class=\"MsoNormal\"\u003eSupport AI GRC audits by applying risk- and evidence-based assessment methods, preparing them to participate in compliance assessments, internal audit activities and external certification audits without qualifying them as full auditors.\u003c\/li\u003e\n\u003cli style=\"mso-list: l0 level1 lfo2; tab-stops: list 36.0pt;\" class=\"MsoNormal\"\u003eEvaluate emerging regulatory and ethical trends shaping the global AI governance landscape.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv style=\"text-align: center;\" align=\"center\" class=\"MsoNormal\"\u003e\u003chr align=\"center\" width=\"100%\" size=\"2\"\u003e\u003c\/div\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003eExamination\u003c\/b\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003eDuration: \u003c\/b\u003e90 minutes\u003cb\u003e\u003cbr\u003eNumber of questions: \u003c\/b\u003e40 multiple choice questions\u003cbr\u003e\u003cb\u003eRetake: \u003c\/b\u003eYes\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003eThe \u003cb\u003eAI GRC Implementer\u003c\/b\u003e certificate exam evaluates both conceptual understanding and practical implementation competence. It covers the following competency domains:\u003cbr style=\"mso-special-character: line-break;\"\u003e\u003c!-- [if !supportLineBreakNewLine]--\u003e\u003cbr style=\"mso-special-character: line-break;\"\u003e\u003c!--[endif]--\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003eDomain 1:\u003c\/b\u003e Fundamentals of AI, governance, and responsible AI principles\u003cbr\u003e\u003cb\u003eDomain 2:\u003c\/b\u003e Global AI regulatory frameworks and standards\u003cbr\u003e\u003cb\u003eDomain 3:\u003c\/b\u003e Designing and implementing AI GRC programs\u003cbr\u003e\u003cb\u003eDomain 4:\u003c\/b\u003e Artificial Intelligence Management Systems (AIMS)\u003cbr\u003e\u003cb\u003eDomain 5:\u003c\/b\u003e Auditing and continual improvement of AI GRC programs\u003cbr\u003e\u003cb\u003eDomain 6:\u003c\/b\u003e Emerging AI GRC trends and future developments\u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\" align=\"center\" class=\"MsoNormal\"\u003e\u003chr align=\"center\" width=\"100%\" size=\"2\"\u003e\u003c\/div\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003eCertificate of Attainment \u0026amp; Badge\u003c\/b\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003eAfter taking the course and passing the exam, you will be awarded the AI Governance, Risk Management, and Compliance Implementer Certificate of Attainment issued by Safeshield, and certified by Exemplar Global, and a shareable badge that you can include in your professional profile.\u003cbr style=\"mso-special-character: line-break;\"\u003e\u003c!--[endif]--\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003eCertificate of Attendance\u003c\/b\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003eParticipants who take the course but opt to not take the exam, or don’t pass the exam, will be issued a Certificate of Attendance. Certificates of Attendance will not be accepted for personal certification.\u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\" align=\"center\" class=\"MsoNormal\"\u003e\u003chr align=\"center\" width=\"100%\" size=\"2\"\u003e\u003c\/div\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003eGeneral information\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\" style=\"margin-top: 0cm;\"\u003e\n\u003cli style=\"mso-list: l1 level1 lfo3; tab-stops: list 36.0pt;\" class=\"MsoNormal\"\u003eThis is an \u003cstrong\u003eExemplar Global RTP Certified Training\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli style=\"mso-list: l1 level1 lfo3; tab-stops: list 36.0pt;\" class=\"MsoNormal\"\u003eExamination fees are included in the training course price.\u003c\/li\u003e\n\u003cli style=\"mso-list: l1 level1 lfo3; tab-stops: list 36.0pt;\" class=\"MsoNormal\"\u003eParticipants will have lifetime access to comprehensive course materials, quizzes, and case studies.\u003c\/li\u003e\n\u003cli style=\"mso-list: l1 level1 lfo3; tab-stops: list 36.0pt;\" class=\"MsoNormal\"\u003eA certificate of course attendance will be issued to participants who complete the course, regardless of whether they take\/pass the exam.\u003c\/li\u003e\n\u003cli style=\"mso-list: l1 level1 lfo3; tab-stops: list 36.0pt;\" class=\"MsoNormal\"\u003eParticipants will have one year to take the exam from the date of enrollment.\u003c\/li\u003e\n\u003cli style=\"mso-list: l1 level1 lfo3; tab-stops: list 36.0pt;\" class=\"MsoNormal\"\u003eParticipants who complete the course but do not pass the exam may \u003cb\u003eretake the exam once for free\u003c\/b\u003e within 12 months of the original course enrollment date.\u003c\/li\u003e\n\u003cli style=\"mso-list: l1 level1 lfo3; tab-stops: list 36.0pt;\" class=\"MsoNormal\"\u003eParticipants who complete the course and pass the exam will be awarded the AI Governance, Risk Management, and Compliance Implementer Certificate of Attainment issued by Safeshield, and certified by Exemplar Global, as well as a shareable badge that they can include in their professional profile.\u003c\/li\u003e\n\u003cli style=\"mso-list: l1 level1 lfo3; tab-stops: list 36.0pt;\" class=\"MsoNormal\"\u003eCertificate doesn't expire and there are no annual maintenance fees (AMF).\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e","brand":"Safeshield Training","offers":[{"title":"Self-Study \/ English","offer_id":43111105724482,"sku":null,"price":695.0,"currency_code":"CAD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0576\/3271\/8914\/files\/AIGRCImplementerCourseThumbnail.jpg?v=1769811378","url":"https:\/\/shop.safeshield.cloud\/products\/artificial-intelligence-governance-risk-management-and-compliance-implementer-ai-grc-implementer","provider":"Safeshield Training","version":"1.0","type":"link"}