Generative AI: Governance, Policy, and Emerging Regulation

Learn how to govern Generative AI responsibly with a understanding of AI policy, risk management, regulatory developments, and enterprise oversight. This course helps professionals build effective governance frameworks, manage compliance risks, and support the safe and responsible adoption of Generative AI across organizations.

$29.99
  • 2.5 hours
  • English
  • Certificate
  • Online

Course Overview

Generative AI: Governance, Policy, and Emerging Regulation is a professional training course designed for individuals and organizations that need to understand how generative AI creates legal, operational, reputational, compliance, and business risks. As generative AI becomes more embedded in content creation, customer interaction, decision support, workflow automation, vendor platforms, and enterprise systems, organizations need clear governance structures before AI use creates unmanaged exposure.

This course covers the hidden risks behind AI deployments, common governance failures in generative AI projects, executive awareness, AI policy design, roles, responsibilities, accountability structures, approval processes, monitoring, escalation, and risk management. Participants will also examine U.S. federal oversight expectations involving agencies such as the FTC, EEOC, DOJ, SEC, and FDA, along with state-level AI regulations, privacy, consumer protection, biometric compliance, and future regulatory readiness.

The curriculum is especially relevant for professionals working in compliance, legal, risk management, privacy, internal audit, governance, technology oversight, vendor management, executive leadership, and responsible AI program development.

Course Includes

Participants will receive structured learning aligned with the course curriculum and focused on generative AI governance, policy, regulation, and enterprise risk control, including:

  • Curriculum-based professional training

  • Generative AI governance risk knowledge

  • AI policy and accountability concepts

  • U.S. federal and state regulatory awareness

  • AI risk management and vendor risk coverage

  • Responsible AI culture and oversight principles

  • Certificate upon successful completion

What You'll Learn

  • Understand why generative AI governance has become a critical business, compliance, and executive oversight priority.
  • Identify common governance failures in generative AI projects and how they create organizational exposure.
  • Analyze legal, operational, reputational, and compliance risks connected to AI deployment.
  • Assess how AI governance frameworks, policies, roles, responsibilities, and accountability structures support safer AI use.
  • Apply NIST and federal guidance concepts to approval, monitoring, escalation, and control processes.
  • Evaluate federal AI oversight expectations, state-level AI regulations, privacy, consumer protection, and biometric compliance challenges.
  • Monitor high-risk AI use cases through model governance, testing, validation, performance monitoring, and vendor risk controls.
  • Improve responsible AI culture through bias prevention, transparency, explainability, human oversight, and future-ready governance planning.

Requirements

No specific prior experience or qualifications are required to participate in this course. A general interest in generative AI, AI governance, compliance, risk management, legal oversight, privacy, vendor management, policy, or responsible technology adoption may be helpful, but it is not mandatory.

Why Choose Us

This Generative AI Governance course is designed to help learners understand AI policy and emerging regulation through a structured, professional, and workplace-relevant curriculum.

  • Curriculum aligned with generative AI governance, policy, regulation, risk management, and executive oversight priorities
  • Clear coverage of AI deployment risks, governance failures, accountability structures, and escalation processes
  • Professional training suitable for individual learners, business teams, and organizational decision-makers
  • Balanced focus on federal oversight, state-level regulation, privacy, consumer protection, and biometric compliance
  • Workplace-relevant knowledge for compliance, legal, risk, privacy, audit, procurement, and technology functions
  • Learner-focused structure that supports both technical and non-technical professional audiences
  • Professional development support through structured learning and successful-completion certification

Career path

This course supports professional development across roles that require knowledge of generative AI governance, AI policy, emerging regulation, and enterprise risk management.

Relevant career areas and responsibilities include:

  • AI Governance Management
  • Compliance and Regulatory Risk Support
  • Legal and Policy Advisory Support
  • Enterprise Risk Management
  • Privacy and Consumer Protection Governance
  • Internal Audit and Assurance
  • Third-Party AI Vendor Risk Management
  • Responsible AI Program Oversight

Certification

Certification

A certificate is issued upon successful completion of the course. This certificate demonstrates that the participant has completed structured professional training in Generative AI: Governance, Policy, and Emerging Regulation and has developed knowledge of the main subject areas covered in the curriculum.

Course Curriculum

6 sections20 lectures2.5 hours
▶ The AI Revolution: Why Governance Became a Business Survival Issue
▶ The Seven Biggest Governance Failures in Generative AI Projects
▶ How AI Creates Legal, Operational, Reputational, and Compliance Risks
▶ Building Executive Awareness Before AI Creates a Crisis
▶ Quiz
▶ Designing an AI Governance Framework That Actually Works
▶ Policies, Roles, Responsibilities, and Accountability Structures
▶ Using NIST and Federal Guidance to Build Practical Controls
▶ Creating AI Approval, Monitoring, and Escalation Processes
▶ Quiz
▶ Federal AI Oversight: FTC, EEOC, DOJ, SEC, FDA, and Emerging Expectations
▶ State-Level AI Regulations and What They Mean for Your Organization
▶ Privacy, Consumer Protection, and Biometric Compliance Challenges
▶ Preparing for Future AI Regulations Before They Arrive
▶ Quiz
▶ Identifying High-Risk AI Use Cases Before They Cause Harm
▶ Model Governance, Testing, Validation, and Performance Monitoring
▶ Third-Party AI Vendors: Hidden Risks in External AI Solutions
▶ Building AI Risk Management Programs That Protect the Organization
▶ Quiz
▶ Preventing Bias, Discrimination, and Unfair AI Outcomes
▶ Transparency, Explainability, and Human Oversight in Decision-Making
▶ Creating a Responsible AI Culture Across the Workforce
▶ Future-Proofing Your Organization for the Next Generation of AI Governance
▶ Quiz

Frequently Asked Questions

This course is suitable for professionals involved in AI governance, compliance, legal oversight, risk management, privacy, internal audit, procurement, vendor management, technology governance, and executive decision-making.

Yes. The curriculum covers federal AI oversight, state-level AI regulations, privacy, consumer protection, biometric compliance, and preparation for future AI regulatory expectations.

Yes. The course covers AI governance frameworks, policies, roles, responsibilities, accountability structures, approval processes, monitoring, and escalation.

Yes. A certificate is issued upon successful completion to demonstrate course completion and knowledge of the curriculum topics.