Artificial intelligence (AI)
AI Leadership - AI Strategy and Opportunity Level 5 - Apprenticeship Unit
Course Overview
Build the leadership capability to define, communicate, and oversee an organisation-wide AI strategy rooted in ethical and responsible adoption. Translate rapid AI advances into sustainable, long-term value.
This apprenticeship unit equips learners with the skills to set AI direction, assess opportunities, govern risk, and influence culture – building the judgement needed to strengthen ethical practice across teams and functions.
This short, targeted learning unit empowers organisations to:
- Accelerate AI time-to-value
- Make evidence-based AI decisions & investments
Qualification Gained
After The Course
What Will I Learn
Learning outcomes:
- Organisational leadership in setting AI policy and strategy. Including business cases, detailing implications for the workforce, organisational perception and sustainability to inform decision making.
- Evaluate opportunities for AI-driven improvement using qualitative and quantitative evidence, including the assessment of risk.
- Define, document and communicate an AI strategy aligned to organisational goals, values and risk appetite.
- Assess viability and risk through AI use cases and pilots, identifying investment areas balancing productivity gains against feasibility, impact and organisational readiness.
- Engage stakeholders to build support for AI strategy and adoption, including non-technical audiences.
- Critically evaluate and monitor. Implementing adaptations, including responses to emerging AI technologies and trends.
English And Maths
Our Lecturers
Teaching Learning and Assessment
Delivered and assessed at Yeovil College / iAero.
Assessment will be completed through a skills test at the end of your programme.
Tutorials
How Will I Be Assessed
You will be assessed against set Skills and Knowledge that have been developed by the industry throughout the programme.
Your final assessment will take place at the end of your apprenticeship unit (skills test).
Entry Requirements
Entry requirements:
- Learners must be employed and must be 19 years or over. Must be working in a leadership position within an organisation with autonomy to deliver technological change and inform investment decisions.
- Functional Skills Level 2 English and maths is required at enrolment.
- Equivalent professional certifications, and relevant work experience will be discussed at interview.