Certified AI Governance Officer Training

By the end of this module, you will:

• Have a comprehensive understanding of the AI in education landscape

• Be able to identify the risk categories as outlined in the EU AI Act

• Recognise the different types of AI systems commonly used in schools

• Understand the key components of the AI lifecycle in educational settings

You will be able to:

• Lead an audit of AI tools in your setting using our provided AI Inventory Template

• Classify existing AI systems according to EU AI Act risk categories

• Document AI system purposes and intended educational outcomes

By the end of this module, you will:

• Understand the structure of an effective AI governance framework for educational institutions

• Know how to integrate AI principles into existing school policies

• Be able to identify ethical issues specific to AI use with children and young people

• Recognise bias risks in AI educational tools and mitigation strategies

You will be able to:

• Draft an AI governance policy for your educational setting

• Define clear roles and responsibilities for AI oversight

• Create an ethical framework for AI use specific to your institution

• Set up a governance committee structure with appropriate stakeholder representation

By the end of this module, you will:

• Understand the specific requirements for processing children's data under GDPR and the EU AI Act

• Know how to implement enhanced protections for vulnerable learners

• Be able to navigate multi-jurisdictional compliance requirements

• Recognise the unique privacy concerns in educational AI applications

You will be able to:

• Conduct a child-specific Data Protection Impact Assessment (DPIA)

• Implement appropriate technical and organisational measures for data protection

• Create lawful basis documentation for AI systems processing student data

• Develop age-appropriate privacy notices and consent mechanisms

By the end of this module, you will:

• Understand the methodology for AI risk assessment in educational contexts

• Know how to identify and categorise AI-specific risks to learners

• Be able to develop targeted mitigation strategies for identified risks

• Recognise when to escalate high-risk AI applications for external assessment

You will be able to:

• Conduct a comprehensive AI risk assessment using structured methodologies

• Create a risk register specific to AI applications in your setting

• Develop and implement mitigation strategies for identified risks

• Establish incident response protocols for AI-related issues

By the end of this module, you will:

• Understand how to evaluate AI products for educational use

• Know what technical documentation to request from vendors

• Be able to conduct due diligence on AI providers

• Recognise red flags in AI product claims and marketing

You will be able to:

• Create procurement guidelines for AI systems

• Develop evaluation criteria aligned with the EU AI Act

• Conduct effective vendor assessments

• Draft contractual requirements for AI providers

By the end of this module, you will:

• Understand the transparency requirements under the EU AI Act

• Know how to effectively communicate about AI use to different stakeholders

• Be able to create clear documentation about AI systems for various audiences

• Recognise effective strategies for building trust around AI use

You will be able to:

• Develop transparency notices for different AI applications

• Create communication plans for staff, students, and parents

• Design informational materials explaining AI use in your setting

• Facilitate stakeholder dialogues about AI implementation

By the end of this module, you will:

• Understand post-implementation monitoring requirements for AI systems

• Know how to establish audit procedures for AI applications

• Be able to create continuous improvement mechanisms

• Recognise performance metrics for ethical AI deployment

You will be able to:

• Implement ongoing monitoring protocols for AI systems

• Conduct internal audits of AI applications

• Establish review cycles and improvement processes

• Create performance dashboards for AI governance

By the end of this module, you will:

• Understand AI-specific incident types and response requirements

• Know how to identify, classify, and respond to AI-related incidents

• Be able to create effective crisis management plans

• Recognise notification and reporting obligations

You will be able to:

• Develop an AI incident response plan

• Create incident classification criteria

• Establish notification procedures for serious incidents

• Design post-incident review processes

By the end of this module, you will:

• Understand the training needs for different stakeholder groups

• Know how to build AI literacy among staff and students

• Be able to design effective training programmes

• Recognise strategies for developing ongoing capacity

You will be able to:

• Conduct training needs assessments for AI governance

• Develop role-specific training materials

• Create an AI literacy curriculum for students

• Establish a continuous learning framework for staff

By the end of this module, you will:

• Synthesise all components into a comprehensive AI governance plan

• Know how to implement a phased approach to AI governance

• Be able to demonstrate mastery of key AI governance concepts

• Successfully complete your certification requirements

You will be able to:

• Create a complete AI governance implementation plan for your institution

• Present and defend your governance strategy

• Integrate all compliance elements into a cohesive framework

• Meet all certification requirements for the AI Governance Officer credential