AI Foundations: Governance, Risk, ESG, and Agile

Learn responsible AI, governance, risk management, ESG and agile adoption for business leaders

Created byDr Stefan Vieweg

Last updated 1/2026

English

What you'll learn

Understand what AI is (Machine Learning, Generative AI, automation) and how it is used in business
Identify AI-related risks, including bias, cybersecurity threats, deepfakes, and model reliability
Apply AI risk management using COSO ERM and enterprise frameworks
Understand AI governance and regulatory expectations, including EU AI Act, DORA, NIS-2, and eIDAS
Connect AI to ESG goals, ethical responsibility, and sustainable decision-making
See how AI supports Agile and digital transformation without replacing human judgment
Evaluate real-world AI use cases across finance, healthcare, public sector, and manufacturing

Course content

1 section • 6 lectures • 1h 13m total length

Understanding Artificial Intelligence in Business18:32
Introduces the fundamentals of AI, including machine learning and generative AI. Participants explore why AI has become a critical driver of business resilience, innovation, and competitiveness, supported by real-world examples from finance, healthcare, and manufacturing. The module also addresses key challenges such as bias, transparency, data privacy, and regulation, establishing a responsible foundation for AI adoption.
Understanding Artificial Intelligence in Business
AI and Risk Management17:37
Focuses on the risks AI introduces across ethical, operational, cybersecurity, reputational, and legal dimensions. Learners examine emerging threats such as deepfakes and AI-driven corporate fraud and learn how AI risks can be integrated into enterprise risk management using the COSO ERM framework. Case examples from financial institutions and the public sector illustrate how organizations manage AI-related risks in practice.
AI and Risk Management
Responsible AI Governance and Risk Management13:50
Explains how organizations can establish effective AI governance models with clear accountability and oversight. This module provides an overview of key regulatory frameworks, including the EU AI Act, DORA, NIS-2, and eIDAS, and explains requirements for documentation, transparency, and human oversight. Participants learn how to prepare AI systems for audits and regulatory reviews.
Responsible AI Governance and Risk Management
AI in ESG Transforming Sustainability Through Technology5:49
Explores the role of AI in supporting Environmental, Social, and Governance (ESG) objectives. Topics include ethical AI, human-centered security, responsible data use, and maintaining social trust. The module shows how AI can drive sustainable digital transformation when aligned with ESG principles and regulatory expectations.
AI in ESG Transforming Sustainability Through Technology
AI in Agile & Digital Transformation8:04
Looks at AI as a key enabler of agile ways of working. Participants learn how AI supports decentralized decision-making, rapid experimentation, and continuous improvement—while still requiring governance guardrails to manage risk and compliance and to avoid “AI chaos” in fast-moving environments.
AI in Agile and Digital Transformation
Responsible AI as a Strategic Advantage9:25
Bings governance, risk management, ESG, and agility together into a cohesive framework. Learners are guided through the creation of a Responsible AI roadmap, the importance of cross-functional collaboration between IT, risk, legal, and HR teams, and how to prepare their organizations for future regulatory developments and innovation waves
Responsible AI as a Strategic Advantage

Requirements

No technical or programming background is required. The course is designed for non-technical audiences who need to understand AI from a business, governance, risk, and ethical perspective.

Description

Artificial Intelligence is rapidly transforming how organizations operate, innovate, and compete. Yet successful adoption depends on more than technology—it requires strong governance, effective risk management, regulatory compliance, sustainability alignment, and agile execution.

AI Foundations: Governance, Risk, ESG, and Agile is a practical introductory course designed for professionals who want to understand how to deploy AI responsibly and strategically across their organizations.

You will begin by learning the fundamentals of AI, machine learning, and generative AI, followed by real-world industry examples from finance, healthcare, manufacturing, and the public sector. The course then explores the full spectrum of AI-related risks—including bias, cybersecurity threats, data privacy concerns, and deepfake fraud—and shows how to integrate them into enterprise risk frameworks such as COSO ERM.

Next, you will examine modern AI governance models and regulatory requirements, including the EU AI Act, DORA, NIS-2, and eIDAS, and learn what organizations must prepare for audits and compliance reviews. The course also connects AI to Environmental, Social, and Governance (ESG) objectives, highlighting ethical AI, human-centered security, and sustainable digital transformation.

Finally, you will discover how AI supports Agile and digital transformation, enabling decentralized decision-making while maintaining appropriate controls. The course concludes with a practical roadmap for building a Responsible AI program that aligns strategy, innovation, and regulation.

This self-paced course includes quizzes and a certificate of completion, making it ideal for managers, consultants, risk professionals, compliance leaders, and anyone responsible for shaping their organization’s AI strategy.

Who this course is for:

Executives, senior managers, and business leaders
Risk management, compliance, audit, and governance professionals
ESG, sustainability, and corporate responsibility teams
Agile coaches, transformation leaders, and product managers
IT, digital transformation, and cybersecurity professionals
Consultants and advisors supporting AI, digital, or organizational transformation
Public sector professionals involved in automated decision-making systems