{"id":4724,"date":"2026-09-29T15:45:38","date_gmt":"2026-09-29T13:45:38","guid":{"rendered":"https:\/\/trainitnow.com\/nl\/product\/nis-2-directive-foundation-inclusief-examen-zelfstudie\/"},"modified":"2026-10-09T09:25:49","modified_gmt":"2026-10-09T07:25:49","slug":"nis-2-directive-foundation-inclusief-examen-zelfstudie","status":"publish","type":"product","link":"https:\/\/trainitnow.com\/nl\/product\/nis-2-directive-foundation-inclusief-examen-zelfstudie\/","title":{"rendered":"AI-Enabled Internal Audit\u2122 Certificate Program"},"content":{"rendered":"<ul>\n<li><strong>Internal Auditors, Staff Auditors, Senior Auditors, and Audit Managers:<\/strong>&nbsp;Professionals seeking practical AI workflows for planning, fieldwork, evidence validation, documentation, and reporting.<\/li>\n<li><strong>Internal Audit Directors and Chief Audit Executives:<\/strong>&nbsp;Leaders responsible for AI-enabled methodology, governance, capability building, and board reporting.<\/li>\n<li><strong>QAIP and Audit Methodology Leaders:<\/strong>&nbsp;Professionals who review AI-assisted workpapers, documentation quality, and conformance.<\/li>\n<li><strong>Audit Committee Members and Oversight Leaders:&nbsp;<\/strong>Leaders who need sufficient AI literacy to challenge governance, understand AI-related risk, and interpret assurance results.<\/li>\n<li><strong>Risk, Compliance, Governance, and Assurance Professionals:&nbsp;<\/strong>Professionals who work with internal audit and need a shared language for AI-enabled assurance.<\/li>\n<\/ul>\n<ul>\n<li><strong>Applies AI Across the Full Audit Lifecycle<\/strong>Build practical capability to use AI across risk assessment, audit planning, continuous monitoring, fieldwork, evidence analysis, reporting, follow-up, and quality review.<\/li>\n<li><strong>Improves Audit Efficiency Without Compromising Quality<\/strong>Use practical AI workflows to improve audit efficiency and insight while preserving evidence quality, confidentiality, documentation discipline, and human accountability.<\/li>\n<li><strong>Strengthens Validation and Professional Skepticism<\/strong>Learn to validate AI-generated outputs, identify errors and hallucinations, assess data quality, and maintain traceable, reviewable audit evidence before relying on AI-assisted work.<\/li>\n<li><strong>Embeds Responsible AI and Governance<\/strong>Apply ISO\/IEC 42001, the NIST AI Risk Management Framework, and the EU AI Act in an assurance context, alongside ethics, privacy, confidentiality, bias mitigation, and AI governance.<\/li>\n<li><strong>Builds Future-Ready Audit Leadership<\/strong>Develop the capability to coordinate AI-enabled assurance across the three lines in line with Standard 9.5, Coordination and Reliance, and communicate AI-driven insights to audit committees and boards.<\/li>\n<\/ul>\n<div>Module 1: Foundations of AI in Internal Audit <\/div>\n<ul>\n<li>1.1 What AI Is (and Is Not) for Internal Audit<\/li>\n<li>1.2 The AI Technology Landscape for Auditors<\/li>\n<li>1.3 How AI Is Reshaping the Profession and the Global Internal Audit Standards<\/li>\n<li>1.4 Ethics, Bias, and Auditor Responsibilities with AI<\/li>\n<li>1.5 The AI Maturity Spectrum: From Data Analytics to Autonomous Agents<\/li>\n<li>1.6 Building Your Personal AI Toolkit for the Internal Audit Function<\/li>\n<\/ul>\n<div>Module 2: AI-Powered Audit Execution<\/div>\n<ul>\n<li>2.1 AI for Risk Assessment and Audit Planning<\/li>\n<li>2.2 Continuous Auditing and Monitoring with AI<\/li>\n<li>2.3 AI-Assisted Workpaper Documentation and Evidence Analysis<\/li>\n<li>2.4 NLP for Contract, Policy, and Document Review<\/li>\n<li>2.5 Prompting for Audit Tasks (Risk Identification and Control Testing)<\/li>\n<li>2.6 Refining AI Outputs for Accuracy and Relevance<\/li>\n<li>2.7 Identifying and Correcting AI Errors and Hallucinations<\/li>\n<li>2.8 Documenting AI-Assisted Work to Quality Standards<\/li>\n<\/ul>\n<div>Module 3: Data, Quality, and Professional Skepticism<\/div>\n<ul>\n<li>3.1 Evaluating AI Output: When to Trust, When to Probe<\/li>\n<li>3.2 Data-Quality Fundamentals for AI-Augmented Audit<\/li>\n<li>3.3 Documenting AI-Assisted Work for Quality Assurance<\/li>\n<li>3.4 Managing Over-Reliance and Preserving Human Judgment<\/li>\n<li>3.5 The Regulatory and Standards Landscape Governing AI in Assurance<\/li>\n<\/ul>\n<div>Module 4: Industry Vertical Audit<\/div>\n<ul>\n<li>4.1 Financial Services: Credit Risk, Fraud Detection, and Compliance<\/li>\n<li>4.2 Healthcare: Operations, HIPAA Compliance, and Revenue-Cycle Integrity<\/li>\n<li>4.3 Manufacturing and Supply Chain: Vendor Audits and ESG Assurance<\/li>\n<li>4.4 Technology and Cybersecurity: IT Controls, AI Systems, and Third-Party Risk<\/li>\n<li>4.5 Government and Public Sector: Compliance, Grants, and Accountability<\/li>\n<li>4.6 Energy and Utilities: Resilience and Environmental Compliance<\/li>\n<li>4.7 Translating AI Audit Methods Across Sectors<\/li>\n<\/ul>\n<div>Module 5: AI in Action \u2013 Practitioner Use Case Labs<\/div>\n<ul>\n<li>5.1 Use-Case Scenarios: Fraud, IT Controls, Vendor Compliance, and ESG<\/li>\n<li>5.2 Prompt Engineering for Audit Tasks<\/li>\n<li>5.3 Peer Review of AI-Assisted Workpapers<\/li>\n<li>5.4 Capstone Project 1: Build a Continuous Audit Exception-Review App Using Replit<\/li>\n<li>5.5 Capstone Project 2: Generate and Validate an AI-Assisted Audit Checklist Using Audit Now<\/li>\n<\/ul>\n<div>Module 6: Leading AI-Enabled Audit Functions<\/div>\n<ul>\n<li>6.1 AI Adoption Strategy, Tools, and Governance Frameworks<\/li>\n<li>6.2 Building a Team AI Strategy: Upskilling, Tools, Governance<\/li>\n<li>6.3 Managing Change, Resistance, and Stakeholder Expectations<\/li>\n<li>6.4 Coordinating AI-Enabled Assurance Across the Three Lines in line with Standard 9.5, Coordination and Reliance<\/li>\n<li>6.5 Communicating AI-Driven Insights to Audit Committees and Boards<\/li>\n<\/ul>\n<div>Tools you will explore<\/div>\n<ul><\/ul>\n<p> Course content + Official exam + AI CERTs CPE and Certificate upon successful completion of the exam <\/p>\n<p>Online proctored exam included, with one free retake.<br \/>Exam format: 50 multiple-choice \/ multiple-response questions; 90 minutes; 70% passing score (35\/50); online AI-proctored exam<\/p>\n<p>Access to all materials and exams is provided for 365 days after delivery.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Applying Artificial Intelligence Across the Audit Lifecycle and Industry Landscape<\/p>\n<p>Participants will be able to apply AI across the audit lifecycle; use machine learning, natural language processing, generative AI, and predictive analytics for audit-relevant tasks; validate AI outputs and data quality; apply leading AI governance frameworks; adapt AI-enabled methods across six industry contexts; and coordinate AI-enabled assurance across the three lines.<\/p>\n","protected":false},"featured_media":4749,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false},"product_brand":[],"product_cat":[506],"product_tag":[1103,1082,1081,1104,697],"class_list":["post-4724","product","type-product","status-publish","has-post-thumbnail","product_cat-cb-klassikaal","product_tag-cb-nis","product_tag-cb-nis-2","product_tag-cb-nis2","product_tag-cb-richtlijn-nis-2","product_tag-cb-train-it-nu","first","instock","taxable","shipping-taxable","purchasable","product-type-variable"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI-Enabled Internal Audit\u2122 Certificate Program | Train IT Now B.V. | Netherlands<\/title>\n<meta name=\"description\" content=\"Applying Artificial Intelligence Across the Audit Lifecycle and Industry Landscape Participants will be able to apply AI across the audit lifecycle; use machine 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