Overview

Google, IBM & Meta Certificates – 40% Off

One plan covers every Professional Certificate on Coursera.

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course equips professionals with the knowledge and skills to implement ethical AI and governance frameworks in enterprises. You will learn to identify AI risks, prevent biases, and ensure compliance with emerging regulations, strengthening trust and accountability in AI deployments. The journey continues with regulatory deep dives into the EU AI Act, US federal and state frameworks, and international standards including ISO, IEEE, and OECD. You will gain practical insights on integrating governance into organizational processes and AI development lifecycles. Ideal for business leaders, compliance officers, AI practitioners, and tech professionals, this course assumes basic familiarity with AI concepts and corporate operations. Difficulty level is Intermediate. By the end of the course, you will be able to assess AI risks, develop governance policies, implement ethical frameworks, and ensure compliance with global AI regulations.

Syllabus

Introduction to AI Ethics in the Corporate World

In this module, we will introduce the course and explore why AI ethics matters. We will review notable AI disasters and explain how governance drives trust and compliance in business operations.

2023–2025 AI Ethics Scandals & Breaking Cases

In this module, we will analyze high-profile AI ethics violations, including hiring biases, facial recognition errors, healthcare mishaps, and financial discrimination. We will also explore the threats of deepfakes and AI manipulations.

Foundations of AI Ethics – Core Principles

In this module, we will cover the foundational principles guiding responsible AI. Learners will explore fairness, transparency, accountability, and protective measures for secure and ethical AI deployment.

Global AI Regulatory Landscape Overview

In this module, we will review international AI regulations, highlight sector-specific rules, differentiate voluntary standards from legal mandates, and guide learners through evaluating their organization’s AI compliance.

The EU AI Act – Complete Guide

In this module, we will examine the EU AI Act, including prohibited systems, high-risk classifications, compliance requirements, and enforcement mechanisms to ensure legal adherence.

US AI Regulations & NIST Framework

In this module, we will explore US federal and state AI laws, introduce the NIST AI RMF, and provide practical guidance for governance and compliance within organizations.

International Standards – ISO, IEEE & OECD

In this module, we will cover ISO, IEEE, and OECD standards, demonstrating how to combine global guidelines with national frameworks to build a comprehensive AI governance strategy.

Building Your AI Governance Framework

In this module, we will guide learners through creating AI governance structures, policies, risk inventories, technical safeguards, and metrics for ongoing improvement.

AI Risk Management & Assessment

In this module, we will teach how to evaluate AI risks, perform assessments, test for fairness, mitigate biases, and maintain model performance over time.

Implementation Strategies & Organizational Change

In this module, we will cover strategies for integrating AI governance into business operations, fostering responsible AI culture, and measuring governance effectiveness.

Practical Tools, Templates & Case Studies

In this module, we will present essential tools, ready-to-use governance templates, and case studies in finance and healthcare to demonstrate effective AI governance practices.

Future of AI Ethics & Next Steps

In this module, we will examine future AI technologies, the changing regulatory environment, and guide learners to create personal action plans for sustainable AI ethics and governance.