Free Download AI Governance Basics What Every Professional Must Know
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 532.94 MB | Duration: 1h 15m
Learn AI governance fundamentals – frameworks, risk, responsible AI, and regulation – in under 2 hours. No technical bac
What you’ll learn
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.
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pinions → evidenceinsights → decisionsoutput → impactYou’ll also get ready-to-use prompts, frameworks, and a decision canvas you can apply immediately in your work.Whether you’re a Product Manager, Product Analyst, UX Researcher, or working in product strategy, this course will help you make faster, more structured, and more defensible decisions using AI.Course AuthorDr. Alex Amoroso, PhDLead UX & Product Researcher | Head of School (MTF)Dr. Alex Amoroso is a Senior UX and Product Researcher with over 10 years of experience helping organisations turn research and data into better product decisions.Her work sits at the intersection of research, product strategy, and decision-making. She has conducted large-scale studies with over 6,000 users across B2B and B2C environments, producing 30+ research reports that have directly informed product direction, user experience design, and innovation initiatives.She has worked with organisations across Europe on data-driven products, analytics platforms, and IoT systems-partnering with cross-functional teams to translate complex insights into clear, actionable decisions.Alongside her industry work, Dr. Amoroso teaches Advanced Research Design and Methodologies to doctoral students and serves as Head of the School of Business and Management at the Institute of Management, Technology and Finance.She holds a PhD in Health Anthropology, with research focused on human behaviour, environmental stress, and quantitative data analysis. Her academic work has been published in multiple peer-reviewed journals.In her courses, she combines:Academic rigourReal-world product case studiesPractical frameworks you can apply immediatelyHer focus is simple:help professionals move from insights → decisions → impact.Course provided by MTF Institute of Management, Technology and FinanceMTF Institute is a global educational and research institute headquartered in Lisbon, Portugal. We offer hybrid business and professional education in the areas of Business and Management, Science and Technology, and Banking and Finance.MTF Institute R&D Center conducts research in Artificial Intelligence, Machine Learning, Data Science, Big Data, Web3, Blockchain, Cryptocurrency and Digital Assets, Digital Transformation, Fin-tech, E-commerce, and the Internet of Things.MTF Institute is an official partner of Deloitte, IBM, Intel, and Microsoft, and is a member of the Portuguese Chamber of Commerce and Industry and the Union of Trade and Services Associations of Lisbon.MTF Institute has a global presence across 216 countries and territories and has been chosen by more than 1 mln. students.
