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Course Overview

 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.

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.

Technical knowledge-Knowledge and Technical skills covered

K1: AI and automation concepts and models that support leadership decision-making, and their limitations. The impact adoption may have on workplace culture and wellbeing.

K2: The capabilities, benefits and risks of automation, AI and digital tools, including responsible use, ethical considerations and the potential impact on the workforce.

K3: 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.

K4: 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.

K5: 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.

K6: Principles and application of testing methodologies and their application in practice.

K7: Principles of human oversight and human AI collaboration to achieve shared outcomes.

Technical skills

S1: Identify organisational improvements and opportunities for innovation and growth, using qualitative and quantitative analysis of information and data.

S2: Set strategic direction for AI and gain support for it from key stakeholders.

S3: 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.

S4: Review, establish, follow and or amend policies and procedures on data and information security.

S5: 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.

S6: Horizon scan to identify new developments that have implications for AI use.

This apprenticeship unit is for individuals employed and over the age of 19, who are 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.

Maths and English GCSE pass, Level 3 or higher level qualification, or relevant experience in a managerial role with approval from your manager.

Project work and assignments marked by course lecturer.

Managerial and strategic experience, applies AI strategy in current role

Ai adoption,procurement and governance, Ai delivery and organisational transformation

Directorate, Senior Management positions within your employer

Fully funded if the employer is a small business, the funding used is £750 per unit

Levy funded employers with sufficient funds are able to spend their levy funds of £750 per unit per candidate.

Levy employers with insufficient levy funds, a co investment contribution is required of 5% of the £750 or £37.50, invoiced by the college

These are upskill units for experienced professionals in leadership or management roles

Awarding Body:
Bournemouth & Poole College

Qualification:
Apprenticeship Standard

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