AI Technology, Policy and Governance Online Course

Build a strong understanding of AI technology, policy, and governance. This course covers AI fundamentals, responsible AI, U.S. policy, risk management, privacy, compliance, and governance to support safe and effective AI adoption.

$29.99
  • 3 hours
  • English
  • Certificate
  • Online
  • Last Updated on 1 Oct, 2026
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AI Technology, Policy and Governance online course featuring AI governance, policy development, regulatory compliance, and responsible AI management.

Course Overview

AI Technology, Policy and Governance Online Course is a professional training program designed for individuals and organizations seeking to understand how artificial intelligence works, how AI risks are governed, and how policy expectations shape responsible enterprise use. As AI becomes more embedded in automation, decision support, generative AI tools, data workflows, vendor systems, and executive strategy, organizations need professionals who can connect technology understanding with governance, privacy, fairness, accountability, security, and assurance.

This AI Technology, Policy and Governance Online Course provides a structured overview of AI technology before moving into the U.S. AI governance landscape, responsible AI principles, privacy considerations, automated decision-making, use-case inventories, risk tiering, approval controls, vendor risk, evidence files, monitoring, incidents, and executive oversight. Participants will learn how AI governance goes beyond policy documents and requires clear ownership, practical controls, documentation, testing, and continuous improvement.

The curriculum is especially relevant for professionals working in compliance, risk management, legal, privacy, information security, procurement, internal audit, digital transformation, AI governance, and executive assurance.

What’s Included in the AI Technology, Policy & Governance Course

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

  • Curriculum-based professional training

  • AI technology and automation concepts

  • U.S. AI governance and policy knowledge

  • Privacy, fairness, and rights considerations

  • AI risk tiering and control ownership principles

  • Evidence, assurance, and monitoring concepts

  • Certificate upon successful completion

What You'll Learn

  • Understand core AI concepts, including models, automation, generative AI, and decision support limitations.
  • Identify how U.S. AI policy direction, NIST AI RMF, and responsible AI principles influence enterprise governance.
  • Analyze accountability, ownership, trust, challenge processes, and consumer redress in AI-enabled environments.
  • Assess privacy, fairness, civil rights risk, AI impact assessments, and privacy by design in U.S. AI use.
  • Apply AI use-case inventory, risk tiering, impact classification, approval, escalation, and control ownership concepts.
  • Evaluate training data, provenance, explainability, transparency, oversight, cybersecurity controls, and vendor risk.
  • Monitor AI systems through testing, validation, documentation, audit trails, evidence files, and corrective action.
  • Improve executive assurance through governance reporting, evidence-based oversight, and continuous improvement.

Requirements for AI Policy & Governance Training

No specific prior experience or qualifications are required to participate in this course. A general interest in artificial intelligence, governance, policy, compliance, privacy, risk management, security, procurement, audit, or responsible technology adoption may be helpful, but it is not mandatory.

Why Choose Us

This AI Technology, Policy and Governance Online Course is designed to help learners understand AI oversight through a clear, structured, and workplace-relevant curriculum.

  • Curriculum aligned with AI technology, U.S. policy direction, governance, privacy, risk, security, and assurance priorities
  • Clear coverage of AI models, automation, generative AI, decision support, and enterprise control responsibilities
  • Professional training suitable for individual learners, business teams, and organizational decision-makers
  • Balanced focus on technology understanding, responsible innovation, privacy, fairness, accountability, and executive oversight
  • Workplace-relevant knowledge for compliance, legal, risk, audit, privacy, procurement, security, and governance functions
  • Learner-focused structure that supports both technical and non-technical professional audiences
  • Professional development support through structured learning and successful-completion certification

Career Paths in AI Policy & Governance

This AI Technology, Policy and Governance online course supports professional development across roles that require knowledge of AI governance, policy expectations, risk management, privacy, control design, and organizational assurance.

Relevant career areas and responsibilities include:

  • AI Governance Management
  • Compliance and Regulatory Risk Support
  • Privacy and Data Protection Governance
  • Enterprise Risk Management
  • Internal Audit and Assurance
  • Information Security and AI Cyber Risk
  • Vendor and Third-Party AI Risk Management
  • Digital Transformation and Executive 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 AI Technology, Policy and Governance and has developed knowledge of the main subject areas covered in the curriculum.

Certification

Course Curriculum

7 sections24 lectures3 hours

Module 1: The AI Control Room

Understanding the Technology Before Governing the Risk

4 Lectures30 minutes
▶ Topic 1.1: AI Without Hype
▶ Topic 1.2: Models and Automation
▶ Topic 1.3: Generative AI at Work
▶ Topic 1.4: Decision Support Limits
▶ Quiz
▶ Topic 2.1: U.S. AI Policy Direction
▶ Topic 2.2: NIST AI RMF and Responsible AI Principles
▶ Topic 2.3: Accountability, Ownership and Enterprise Governance
▶ Topic 2.4: Trust, Challenge and Consumer Redress
▶ Quiz
▶ Topic 3.1: U.S. Privacy Laws and AI
▶ Topic 3.2: AI Impact Assessments and Privacy by Design
▶ Topic 3.3: Bias, Fairness and Civil Rights Risk
▶ Topic 3.4: Automated Decision-Making and Human Review
▶ Quiz
▶ Topic 4.1: AI Use-Case Inventories
▶ Topic 4.2: Risk Tiering and Impact Classification
▶ Topic 4.3: Approval, Escalation and Control Ownership
▶ Topic 4.4: Governance Reporting and Executive Oversight
▶ Quiz
▶ Topic 5.1: Training Data and Provenance
▶ Topic 5.2: Explainability, Transparency and Oversight
▶ Topic 5.3: AI Cybersecurity Controls
▶ Topic 5.4: Procurement and Third-Party AI Risk
▶ Quiz
▶ Topic 6.1: Testing, Validation and Monitoring
▶ Topic 6.2: Documentation, Audit Trails and Evidence Files
▶ Topic 6.3: AI Incidents and Corrective Action
▶ Topic 6.4: Executive Assurance and Continuous Improvement
▶ Quiz

Frequently Asked Questions

The AI Technology, Policy and Governance Online Course is a professional training program covering AI fundamentals, U.S. AI policy, responsible AI, privacy, risk management, governance, cybersecurity, vendor oversight, assurance, and executive accountability.

The course is suitable for professionals working in AI governance, compliance, legal, risk management, privacy, information security, procurement, internal audit, digital transformation, and executive assurance.

Governance decisions depend on understanding what an AI system does, what data it uses, where it can fail, and how it affects people and business processes. The course therefore connects technology fundamentals with practical governance controls.

Organizations using AI may need to consider privacy, fairness, consumer protection, civil rights, security, sector requirements, and organizational accountability. The course helps learners understand these considerations from a governance perspective.

For additional context, AGC's US AI Policy Explained examines the evolving U.S. regulatory landscape.

Yes. AI governance connects technology with legal, compliance, risk, privacy, security, procurement, audit, business operations, and executive decision-making. AGC's AI Governance Skills: What Employers Look for discusses the multidisciplinary skills involved.

An enterprise AI policy can address acceptable AI use, responsibilities, risk assessment, data handling, privacy, security, human oversight, approval processes, monitoring, documentation, third-party AI, incident management, and compliance expectations.

AI regulatory readiness means preparing organizational processes, governance structures, controls, documentation, and oversight so that relevant AI-related legal and regulatory requirements can be addressed as applicable.

Yes. Enterprise AI safety can intersect with legal and regulatory requirements, particularly where AI systems affect privacy, security, consumer interests, employment, financial activities, or other regulated areas. The specific obligations depend on the system and jurisdiction.

It can serve as a broad foundation because it connects AI technology fundamentals with policy, responsible AI, privacy, risk, governance, security, procurement, assurance, and executive oversight. Learners can then specialize in areas such as AI risk management, AI governance frameworks, responsible AI, or generative AI governance.