AI Leadership – Developing AI Strategy Apprenticeship Unit

The AI Leadership – Developing AI Strategy apprenticeship unit, equips learners to lead and develop effective and ethical AI strategies, across teams and business functions.

This Level 5 apprenticeship unit is designed for leaders, or aspiring leaders.

It explores how to set AI strategy, including building a strong business case, while balancing risk management and ethical practice. Ultimately delivering a sustainable and transparent AI strategy, in line with organisational goals.

Why Choose Us

Industry Recognised Quality Training

Accredited by Leading Institutes

Employer Driven Learning

High Achievement Rates

What’s Involved

Structure & Delivery

Our apprenticeship unit is flexibly designed, enabling us to align learning outcomes precisely with the needs of your organisation. We work in partnership with employers to shape unit selection, contextualise delivery, and ensure that every element of the programme reflects business challenges and objectives.

Our approach combines structured learning with practical, workplace-driven application, ensuring that learners develop relevant skills that deliver immediate value and long-term impact for your business

During time on the programme, learners will cover a range of core areas and topics, which include:

AI strategy and organisational direction
AI procurement, investment and adoption
Governance, ethics and responsible AI
Enterprise risk, audit and incident readiness
Leadership, delivery and organisational change
Communication, trust and external engagement
Workforce transformation and capability building

Entry Requirements

Learners must be 19 or older and work in leadership roles, or aspire to be, looking to upskill in AI leadership literacy, defining AI priorities and lead organisational change.

Details of the Programme

Upon completion of the apprenticeship unit, learners will gain the following technical knowledge and skills:

Technical knowledge:

AI and automation concepts and models that support leadership decision making, and the limitations.
Role of organisational leadership in responsible AI adoption.
How to develop and implement organisational AI strategy.
Legislation, regulation and governance supporting safe adoption of AI.
Crisis and risk management strategies.
Awareness of existing, evolving and emerging AI technologies.

Technical skills:

How to identify improvements and opportunities for innovation and growth.
Set strategic direction for AI and gain support from key stakeholders.
Analysis to identify if AI adoption is viable.
Ethics and value-based leadership and governance, and regulatory compliance.
Approaches to workforce engagement and retraining.
Horizon scanning to identify new developments that have implications for AI use.