AI leadership – AI strategy and opportunity - Apprenticeship unit (level 5)
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Information about AI leadership – AI strategy and opportunity - Apprenticeship unit (level 5)
This apprenticeship unit is for individuals in leadership roles responsible for setting direction, governance and oversight for AI use who, with the support of their employer, need upskilling in AI leadership literacy, including the capabilities and limitations of AI and the opportunities it presents to their organisation. This unit is particularly relevant for individuals in organisations at an early or exploratory stage of AI adoption, where there is a need to build a foundational understanding and identify viable opportunities.
Apprenticeship units are short, flexible training courses based on employer-designed occupational standards.
You can only enrol your existing employees in an apprenticeship unit. Employees who are already doing an apprenticeship cannot do them.
- Knowledge and skills learners will gain
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View knowledge and skills
Technical knowledge
- AI and automation concepts and models that support leadership decision-making, and their limitations. The impact adoption may have on workplace culture and wellbeing.
- The capabilities, benefits and risks of automation, AI and digital tools, including responsible use, ethical considerations and the potential impact on the workforce.
- The role of organisational leadership in responsible AI adoption, including setting values, policy, and strategy. The business case for ethical AI adoption, including reputational risk, staff engagement and morale, and long-term sustainability.
- Understand how to develop and implement organisational AI strategy and plans, including approaches to, workforce development, taking and managing risk, monitoring and evaluation, and quality assurance.
- How to assess the viability of solutions when making acquisition decisions, for example, testing and evaluating solutions, using test data and results, feasibility (time, cost, data quality and process maturity), and user testing.
- Principles and application of testing methodologies and their application in practice.
- Principles of human oversight and human AI collaboration to achieve shared outcomes.
Technical skills
- Identify organisational improvements and opportunities for innovation and growth, using qualitative and quantitative analysis of information and data.
- Set strategic direction for AI and gain support for it from key stakeholders.
- Commission analysis to identify if AI adoption is viable. Evaluate assessments of risks and unintended consequences of AI automation projects, such as the impact on job roles.
- Review, establish, follow and or amend policies and procedures on data and information security.
- Keep up to date with existing, evolving, and emerging technologies and sector trends in AI, automation and technology to support the evaluation of vendor and supplier solutions.
- Horizon scan to identify new developments that have implications for AI use.
- Training category (sector)
- Digital
- Training level
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5
Equal to higher national diploma (HND) - Delivery hours
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30 delivery hours
Delivery hours are the minimum amount of time a learner will spend with their instructor while on the course. This does not include coursework or self-paced activities. - Duration
- Exact duration depends on the training provider. Contact them to find out more.
- Maximum funding
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£750
Maximum government funding for
apprenticeship unit training and assessment costs.
View more information about AI leadership – AI strategy and opportunity - Apprenticeship unit (level 5) from Skills England.