Build AI capability the right way, responsibly, securely, and strategically.
Artificial intelligence is transforming business operations from automation and analytics to strategic decision-making and innovation. However, without strong governance frameworks, risk management processes, and ethical oversight, AI can create serious legal, reputational, and operational challenges.
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
- Artificial Intelligence Foundations: Governance, Risk, ESG, and Agile –> 6 lectures • 1hr 13min.
Requirements
Artificial intelligence is transforming business operations from automation and analytics to strategic decision-making and innovation. However, without strong governance frameworks, risk management processes, and ethical oversight, AI can create serious legal, reputational, and operational challenges.
This introductory Artificial Intelligence Foundations: Governance, Risk, ESG, and Agile is designed for professionals who want to move beyond the hype and understand how to apply artificial intelligence in real organizational, regulatory, and business environments. Whether you are a manager, consultant, compliance professional, or transformation leader, this self-paced program equips you with practical knowledge to support confident and compliant AI adoption.
You will learn the fundamentals of AI risk management, ethical AI principles, regulatory expectations, data governance, and organizational controls that enable sustainable innovation. The course also explores how leadership teams can align AI initiatives with corporate strategy, accountability structures, and emerging compliance standards.
With flexible, on-demand learning, you can progress at your own pace while building essential skills for responsible AI implementation in today’s evolving digital landscape. No technical or programming background is required.
Start building a strong foundation in artificial intelligence governance and responsible innovation today. Available to answer YOUR specific questions and ready to help transform your knowledge into practice. Good Luck!