What you'll learn
⚡ Build a complete, audit-ready AI inventory and risk register aligned to the EU AI Act, ISO 42001, and NIST AI RMF from discovery through decommissioning.
⚡ Discover shadow AI, embedded AI, and vendor AI across your tech stack, then classify each system by risk tier, impact, and regulatory category.
⚡ Design a robust AI register schema capturing identity, purpose, technical, risk, and compliance fields that satisfies Article 11 documentation demands.
⚡ Run AI-specific risk assessments covering bias, drift, explainability, third-party, and privacy risks, then plan and document treatment decisions.
⚡ Operationalize, govern, and continuously maintain your AI inventory with change management, monitoring, tooling, and a phased implementation roadmap.
Requirements
❗ No prior AI or coding experience required - concepts are explained in plain language from the ground up.
❗ A basic familiarity with governance, risk, or compliance (GRC) concepts is helpful but not essential.
❗ Access to a spreadsheet tool (Excel or Google Sheets) to follow along with register templates and downloadable toolkits.
Description
This course contains the use of artificial intelligence.
Why this course matters now
AI has spread into every corner of the modern enterprise - often faster than governance can keep up. Regulators under the EU AI Act, ISO 42001, and NIST AI RMF now expect organizations to know precisely what AI they operate, how risky each system is, and how it's controlled. The organizations that can't produce a complete, defensible AI inventory face compliance failures, audit findings, and reputational harm. This course turns that liability into your professional advantage. It's practical, framework-aligned, and built for real enterprise environments - explained in plain language with real-world examples, not abstract theory.
What this course covers
✨ Foundations of AI inventory management and the EU AI Act, ISO 42001, and NIST AI RMF landscape
✨ Discovering all AI - including shadow AI, embedded AI, and vendor-supplied AI across your tech stack
✨ Classifying AI systems by risk tier, impact, autonomy, and sector-specific criteria
✨ Designing an audit-ready AI register with a complete data schema and Article 11 documentation
✨ Running AI-specific risk assessments - bias, drift, explainability, third-party, and privacy risk
✨ Planning and documenting risk treatment, mitigation, and residual risk sign-off
✨ Operationalizing, maintaining, monitoring, and scaling the inventory with a 5-phase roadmap
Who will benefit
✨ AI governance leads, CAIOs, privacy professionals, and GRC/compliance teams
✨ Risk managers, IT, legal, and internal auditors responsible for AI oversight
✨ Consultants and business leaders preparing for AI regulatory obligations
Prerequisites
No prior AI or technical background is needed - every concept is built from the ground up in plain language. A basic familiarity with governance, risk, or compliance is helpful but not required. All you need is a spreadsheet tool to follow along with the templates.
What you get
✨ Chapter quizzes at the end of every section
✨ An initial benchmark practice test and a full-length final practice test
✨ Hands-on assignments and interactive AI role plays
✨ A complete downloadable toolkit - templates, checklists, cheat sheets, and quick-reference guides
Who this course is for
⭐ AI governance leads, privacy professionals, risk managers, and GRC/compliance teams building or maturing an AI inventory program.
⭐ IT, legal, audit, and data protection professionals responsible for documenting, classifying, or overseeing AI systems.
⭐ Consultants, CAIOs, and business leaders preparing for EU AI Act, ISO 42001, or NIST AI RMF obligations.


https://rapidgator.net/file/9a54615aba2eddd4cc277b13ea395e1a/Sustainability_Implementation_Guide_for_SMEs.part1.rar.html
https://rapidgator.net/file/f9e6b87bd4696328c86e7d5427dde8bd/Sustainability_Implementation_Guide_for_SMEs.part2.rar.html
https://rapidgator.net/file/7689e2db9fda869596211b49f710385d/Sustainability_Implementation_Guide_for_SMEs.part3.rar.html