Data Governance in the Age of AI

Learn how to govern data effectively in AI-driven environments. This course covers data governance, AI governance, privacy, data quality, security, and accountability to support responsible and trustworthy AI adoption.

$29.96
  • 3 hours
  • English
  • Certificate
  • Online

Course Overview

Data Governance in the Age of AI is a professional training course designed for organisations and individuals who need to manage data with greater trust, accountability, quality, privacy, security, and oversight in AI-enabled environments. As artificial intelligence becomes more embedded in business decisions, public services, digital products, and operational systems, data governance is no longer only a technical or administrative function. It is a strategic discipline that connects responsible data decisions with organisational risk management, regulatory accountability, and reliable AI adoption.

This course covers the governance structures, ownership models, stewardship responsibilities, quality controls, metadata practices, lineage requirements, privacy obligations, AI governance risks, supplier controls, cybersecurity discipline, and assurance mechanisms needed to support responsible data use. Participants will explore how governance moves from policy into practice through clear decision rights, escalation pathways, accountability by design, and board-level assurance.

The curriculum is especially relevant for professionals working with data, compliance, risk, privacy, information governance, digital transformation, AI oversight, and organisational control.

Course Includes

Participants will receive structured learning aligned with the course curriculum and focused on the governance challenges created by AI-enabled data environments, including:

  • Curriculum-based professional training

  • Data governance and AI governance concepts

  • UK privacy and information governance coverage

  • Data ownership and stewardship knowledge

  • Metadata, quality, and lineage understanding

  • Security, supplier, and assurance principles

  • Certificate upon successful completion

What You'll Learn

  • Understand how data governance supports responsible AI adoption, organisational trust, and accountable decision-making.
  • Identify appropriate data ownership models, stewardship roles, decision rights, and escalation pathways.
  • Analyze data quality standards, reliability controls, metadata foundations, and lineage requirements.
  • Assess how UK GDPR, the Data Protection Act 2018, ICO accountability, DPIAs, privacy by design, records, retention, and rights apply to data governance.
  • Evaluate AI governance considerations, including AI use approval, training data governance, bias, explainability, and human oversight.
  • Apply governance principles to supplier, cloud, access control, cybersecurity, and audit trail environments.
  • Monitor data governance practices to improve assurance, accountability, and board-level reporting.
  • Improve the connection between governance policies, operational controls, and responsible data practices.

Requirements

No specific prior experience or qualifications are required to participate in this course. A general interest in data governance, privacy, compliance, risk management, information security, AI governance, or organisational accountability may be helpful, but it is not mandatory.

Why Choose Us

This course is designed to help learners understand data governance in a structured, professional, and workplace-relevant way.

  • Curriculum aligned with current data governance, privacy, AI governance, and assurance priorities
  • Clear focus on accountability, ownership, stewardship, quality, privacy, security, and oversight
  • Professional training suitable for individual learners and organisational teams
  • Balanced coverage of strategic governance concepts and operational control responsibilities
  • Workplace-relevant knowledge for data, compliance, risk, privacy, security, and AI-related roles
  • Learner-focused structure that supports understanding across technical and non-technical functions
  • Practical subject understanding without unsupported claims, exaggerated promises, or unnecessary complexity

Career path

This course supports professional development across roles that require responsible data management, governance oversight, privacy awareness, and AI-related risk understanding.

Relevant career areas and responsibilities include:

  • Data Governance Management
  • Data Stewardship and Data Ownership
  • Information Governance
  • Privacy and Data Protection Support
  • AI Governance and Model Risk Oversight
  • Risk Management and Internal Control
  • Supplier and Cloud Risk Governance
  • Audit, Assurance, and Board Reporting

Certification

Certification

A certificate is issued upon successful completion of the course. This certificate demonstrates that the participant has completed structured professional training in Data Governance in the Age of AI and has developed knowledge of key subject areas covered in the curriculum, including accountability, stewardship, data quality, metadata, lineage, UK privacy governance, AI governance, security, suppliers, and assurance.

Course Curriculum

6 sections24 lectures3 hours
▶ 1.1 Governance in the AI Era
▶ 1.2 Responsible Data Decisions
▶ 1.3 Accountability by Design
▶ 1.4 From Policy to Practice
▶ 2.1 Ownership Models
▶ 2.2 Stewardship Roles
▶ 2.3 Decision Rights
▶ 2.4 Escalation Pathways
▶ 3.1 Quality Standards
▶ 3.2 Reliability Controls
▶ 3.3 Metadata Foundations
▶ 3.4 Lineage and Provenance
▶ 4.1 UK GDPR and DPA 2018
▶ 4.2 ICO Accountability
▶ 4.3 DPIAs and Privacy by Design
▶ 4.4 Records, Retention and Rights
▶ 5.1 AI Use Approval
▶ 5.2 Training Data Governance
▶ 5.3 Bias and Explainability
▶ 5.4 Human Oversight
▶ 6.1 Access Control
▶ 6.2 Cybersecurity Discipline
▶ 6.3 Supplier and Cloud Risk
▶ 6.4 Audit Trails and Board Assurance