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

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 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.

Course Includes

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

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 path

This 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.

Course Curriculum

7 sections24 lectures3 hours
▶ 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

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

Yes. The curriculum covers U.S. AI policy direction, NIST AI RMF, responsible AI principles, accountability, ownership, enterprise governance, consumer redress, and governance reporting.

Yes. The course begins with AI concepts, models, automation, generative AI at work, and the limits of AI-based decision support.

Yes. The curriculum includes U.S. privacy laws, AI impact assessments, privacy by design, bias, fairness, civil rights risk, automated decision-making, and human review.

Yes. The course covers procurement, third-party AI risk, training data, provenance, transparency, oversight, and cybersecurity controls.

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