• views: 186
• date: 18 April 2026
• posted by: voska89

Understand what AI governance is, why it matters, and how global regulations like the EU AI Act and NIST AI RMF define the landscape.
Identify the core principles of responsible AI — fairness, transparency, privacy, accountability, and human oversight — and why they exist.
Recognize the main categories of AI risk and how organizations classify, assess, and manage AI systems responsibly.
Understand how data governance, consent, and privacy obligations connect to AI development and deployment.
Navigate generative AI governance challenges and evaluate vendor AI tools using the right due diligence questions.

Requirements

No technical background required — this course is designed for professionals across all functions and seniority levels.
A basic familiarity with AI tools (such as chatbots or AI-assisted software) is helpful but not mandatory.
Curiosity and an openness to exploring how governance, ethics, and regulation intersect with AI technology.

Description

This course contains the use of artificial intelligence.AI is reshaping every industry — but are the people deploying it equipped to do so responsibly?From biased hiring algorithms to chatbots giving legally binding wrong advice, from hallucinating AI outputs to opaque automated decisions — the risks of ungoverned AI are no longer hypothetical. They are landing in courts, regulators' inboxes, and boardrooms right now. This free introductory course gives you a structured, jargon-free foundation in AI governance — so you understand what it is, why it matters, and how organizations are approaching it.Whether you work in compliance, legal, HR, operations, finance, technology, or leadership, this course explains AI governance in plain language and connects every concept to situations you're likely to encounter at work.What This Course CoversWhat AI governance is, why it has become a global regulatory and business priority, and what the cost of getting it wrong looks like in practiceThe global regulatory landscape — including the EU AI Act's four-tier risk classification, the NIST AI RMF, ISO 42001, and OECD AI PrinciplesThe core principles of responsible AI: fairness, transparency, accountability, privacy, safety, and human oversightHow organizations identify, classify, and manage AI risk — including third-party and vendor AI riskData governance obligations connected to AI: consent, lawful basis, automated decision-making, and privacy by designHow governance applies across the AI development lifecycle — from pre-development ethics review to post-deployment monitoringGenerative AI governance: hallucination risks, acceptable use policies, and vendor evaluationThe organizational structures, roles, and policy frameworks that underpin effective AI governanceHow to begin your own AI governance learning journey and what certifications and frameworks to explore nextWho Will BenefitProfessionals in compliance, legal, operations, HR, and business functions who need a structured AI governance foundationManagers and business leaders beginning to oversee AI tools and wanting clarity on their responsibilities under emerging regulationLearners considering a career path in AI governance, AI risk management, responsible AI, or related certificationsPrerequisitesNo technical background is required. If you have a basic awareness of AI tools — such as chatbots or AI-assisted software — you have everything you need. This course is designed for professionals across all functions and seniority levels, not just IT or data teams.What You Get With This CourseChapter quizzes at the end of every section to test and reinforce your understandingAn initial knowledge check and a final full-length assessment to measure your progress from start to finishThree practical assignments that take you from passive learner to active practitionerThree immersive role play scenarios that put your knowledge into real organizational contextsA comprehensive downloadable toolkit — including glossaries, checklists, templates, cheat sheets, a vendor due diligence questionnaire, a risk assessment worksheet, and an AI acceptable use policy template — tools you can start using immediatelyThis course is the first step on the AI Governance Professional Track. Completing it will give you a clear picture of your next steps — whether that's the EU AI Act, NIST AI RMF, AI risk management, or a formal certification pathway.
Professionals in compliance, legal, HR, operations, and business functions who need a structured, jargon-free introduction to AI governance.,Managers and decision-makers beginning to use or oversee AI tools who want to understand their responsibilities under emerging regulations.,Learners exploring a career path in AI governance, AI risk management, or responsible AI — and looking for a structured starting point.

Homepage

https://www.udemy.com/course/ai-governance-basics-what-every-professional-must-know/

   
   
   

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