8 hours ago
[center]![[Image: _aa34c1e04c74ba4acfba65980b700d73.jpg]](https://i126.fastpic.org/big/2026/0116/73/_aa34c1e04c74ba4acfba65980b700d73.jpg)
Ai Governance & Risk Management: Practical Compliance
Published 1/2026
Created by Mette Glargaard
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 24 Lectures ( 1h 32m ) | Size: 3.13 GB [/center]
Managing AI risk, meeting EU AI Act requirements, and applying the NIST AI Risk Management Framework (with templates)
What you'll learn
Identify and classify AI systems using risk-based frameworks (including EU AI Act logic)
Design and document AI governance structures (roles, oversight, accountability)
Assess and mitigate AI risks across legal, ethical, and operational dimensions
Create compliance-ready artifacts required for audits, regulators, and internal assurance
Requirements
Interest or responsibility related to risk, compliance, governance, or strategy
No technical or coding background required
Description
AI Governance & Risk Management: Practical Compliance for OrganizationsAI governance is no longer optional.Organizations that build, buy, or deploy AI are now expected to explain, justify, and defend how AI risks are identified, managed, and controlled - to regulators, customers, auditors, and leadership.This course gives you the practical skills, structures, and frameworks needed to do exactly that.You will learn how to design and operate an AI governance and risk management program aligned with the EU Artificial Intelligence Act (EU AI Act) and the NIST AI Risk Management Framework (AI RMF). The focus is on real organizational decision-making: who is accountable, how AI risk is assessed, what documentation is required, and how oversight is maintained over time.You do not need a technical or coding background. This course is designed for professionals working with AI from a governance, legal, compliance, risk, product, or leadership perspective.This is not a theoretical ethics course. It is a hands-on governance and compliance course focused on how organizations actually build, buy, deploy, monitor, and defend AI systems in practice.By the end of the course, you will be able to classify AI systems under the EU AI Act, apply the NIST AI RMF to manage AI risk, design governance structures and controls, govern third-party AI vendors, prepare audit-ready documentation, and respond effectively to AI incidents.The course includes practical templates, real-world examples, and a final assessment to validate applied understanding.
Who this course is for
Business leaders & managers responsible for AI-related decisions
Compliance, risk, legal, and governance professionals
Policy, ESG, and data protection roles working with AI impacts
Consultants and advisors supporting organizations using AI
Ai Governance & Risk Management: Practical Compliance
Published 1/2026
Created by Mette Glargaard
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 24 Lectures ( 1h 32m ) | Size: 3.13 GB [/center]
Managing AI risk, meeting EU AI Act requirements, and applying the NIST AI Risk Management Framework (with templates)
What you'll learn
Identify and classify AI systems using risk-based frameworks (including EU AI Act logic)
Design and document AI governance structures (roles, oversight, accountability)
Assess and mitigate AI risks across legal, ethical, and operational dimensions
Create compliance-ready artifacts required for audits, regulators, and internal assurance
Requirements
Interest or responsibility related to risk, compliance, governance, or strategy
No technical or coding background required
Description
AI Governance & Risk Management: Practical Compliance for OrganizationsAI governance is no longer optional.Organizations that build, buy, or deploy AI are now expected to explain, justify, and defend how AI risks are identified, managed, and controlled - to regulators, customers, auditors, and leadership.This course gives you the practical skills, structures, and frameworks needed to do exactly that.You will learn how to design and operate an AI governance and risk management program aligned with the EU Artificial Intelligence Act (EU AI Act) and the NIST AI Risk Management Framework (AI RMF). The focus is on real organizational decision-making: who is accountable, how AI risk is assessed, what documentation is required, and how oversight is maintained over time.You do not need a technical or coding background. This course is designed for professionals working with AI from a governance, legal, compliance, risk, product, or leadership perspective.This is not a theoretical ethics course. It is a hands-on governance and compliance course focused on how organizations actually build, buy, deploy, monitor, and defend AI systems in practice.By the end of the course, you will be able to classify AI systems under the EU AI Act, apply the NIST AI RMF to manage AI risk, design governance structures and controls, govern third-party AI vendors, prepare audit-ready documentation, and respond effectively to AI incidents.The course includes practical templates, real-world examples, and a final assessment to validate applied understanding.
Who this course is for
Business leaders & managers responsible for AI-related decisions
Compliance, risk, legal, and governance professionals
Policy, ESG, and data protection roles working with AI impacts
Consultants and advisors supporting organizations using AI
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