Disclosure: This course contains the use of artificial intelligence.

Artificial Intelligence is transforming how organizations make decisions, manage operations, serve customers, and build new products. But adopting AI responsibly requires more than choosing the right AI tools. Leaders, managers, and founders need practical AI Governance, compliance, policy, risk management, strategy, and AI Ethics and Governance frameworks to make informed and responsible decisions.

This course is designed to help business leaders and professionals understand how to govern Artificial Intelligence effectively — without requiring a technical or programming background. You’ll learn how to approach AI governance from a business, operational, legal, compliance, risk, and strategic perspective.

Whether your organization is already using AI or is preparing to adopt it, this course provides a practical framework for understanding the policies, controls, responsibilities, and decision-making processes needed for compliant and responsible AI adoption.

You’ll begin with the foundations of AI governance and learn how governance supports better business decisions. From there, the course moves into strategy, policy development, governance operating models, risk classification, control design, data governance, model governance, legal and regulatory considerations, and third-party AI oversight.

You’ll also explore how organizations can establish practical governance processes around AI tools, vendors, models, data, and business use cases — while considering AI ethics, accountability, transparency, and responsible use.

What You’ll Learn

Understand the foundations of AI Governance and responsible AI adoption
Develop AI governance strategies, policies, and operating models
Classify AI risks and design appropriate governance controls
Apply data governance principles to responsible Artificial Intelligence
Understand model governance, testing, monitoring, and oversight
Explore legal, regulatory, compliance, and ethical considerations for AI
Evaluate AI vendors, tools, and third-party AI risks
Implement AI governance across business operations, teams, and organizational culture

Course Features

Practical, business-focused approach to AI Governance
Designed for leaders, managers, founders, and business professionals
No programming or advanced technical knowledge required
Covers AI strategy, policy, compliance, risk, ethics, and operations
Explains governance concepts through practical business scenarios
Focuses on decision-making and implementation rather than technical model development
Covers internal AI use as well as third-party AI tools and vendors
Accessible on mobile, desktop, or tablet

Course Sections

AI Governance Foundations for Business Decisions
Strategy, Policy, and Governance Operating Model
Risk Classification and Control Design
Data Governance for Responsible AI
Model Governance, Testing, and Monitoring
Legal, Regulatory, and Ethical Governance
Vendor, Tool, and Third-Party AI Governance
Implementation, Culture, and Governance Execution

Who This Course Is For

Leaders and managers responsible for AI-related business decisions
Founders and entrepreneurs adopting Artificial Intelligence in their organizations
Business professionals involved in AI strategy, operations, and transformation
Compliance, legal, risk, and governance professionals
Technology, operations, and management professionals supporting AI adoption
Professionals interested in AI Ethics and Governance and responsible AI

This course is designed to help you move beyond simply using AI tools and start thinking about how AI should be governed within an organization.

You’ll gain a practical understanding of the policies, controls, risks, responsibilities, and decision-making frameworks that can support responsible and compliant AI adoption.

Whether you are a founder deciding how your company should use AI, a manager responsible for AI-enabled operations, or a professional working in compliance, risk, legal, technology, or governance, this course will help you approach Artificial Intelligence with greater structure, confidence, and accountability.

Start learning today and build the foundation you need to make smarter, more responsible AI decisions.