Overview
Skills England launched the three AI Leadership apprenticeship units in April 2026 to fix a specific gap.
At Magnifica we train your leaders preparing them for AI transformation projects as expert tutors for approved providers.
Reason 01
Up to £2,250 of public funding
Each of the three units is funded up to £750 by the apprenticeship system. An organisation putting one leader through all three units can access up to £2,250 in funding for that learner.
It’s the closest thing to FREE senior-leader AI training the system offers right now.
Reason 02
Designed for leaders, not analysts
Most AI courses teach you to use AI. These three teach you to lead an AI agenda.
That means set strategy, run procurement properly, build governance that holds up, deliver change without breaking the workforce.
Reason 03
Short, flexible, delivered around the day job
Each unit is 30 hours of guided learning, delivered over 1 to 16 weeks. Blended online and in-person.
Units are built to fit around a senior employees workload.
Which unit when
Side-by-side comparison
Use this to decide where to start. The right unit for a learner depends on where their organisation is in its AI journey and what they’re personally responsible for.
AU0009
Strategy & Opportunity
AU0010
Adoption, Procurement & Governance
AU0011
Delivery & Transformation
Best for leaders who…
Are setting the AI direction for their organisation
Are buying AI tools and building governance around them
Are leading AI implementation and managing the change
Stage of AI adoption
Early / exploratory
Selecting and onboarding AI tools
Scaling AI across the business
Core focus
Strategy, opportunities, stakeholder buy-in
Vendor evaluation, governance, ethics, compliance
Delivery, workforce impact, risk monitoring, comms
Typical roles
CEO, MD, Director of Strategy, CTO
COO, CIO, CTO, Head of Procurement, Head of Risk
Transformation Director, COO, Programme Director
Hours
30 hrs minimum
30 hrs minimum
30 hrs minimum
Level
Level 5
Level 5
Level 5
Funding
Up to £750
Up to £750
Up to £750
what they say
Feedback that proves it works
A few words from people we’ve trained and supported on their AI adoption journey. From practical workshops and team training through to real-world implementation support.
“I found the full day extremely useful and I left with a head full of potential ideas to implement within our own workflows. Rob made the session easy to understand (especially to someone with absolutely zero coding knowledge) and easy to implement.“
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Liam Lally – MD at Zaddle Internet Marketing
“Working with Rob from Magnifica has been a game changer for us as we embark on our AI implementation journey. We now have a clear plan to move from piles of paper and weekly data entry to a slick, automated process that will effortlessly scale as we grow.“
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Neil Rose – Systems Manager, Certora Training Limited
The three units
AU0009, AU0010 and AU0011
Each stands alone. Together they cover the full AI leadership job.
Who it’s for
Leaders responsible for setting direction, governance and oversight for AI use. Particularly in organisations at an early or exploratory stage of AI adoption, where leadership needs to build foundational understanding and identify viable opportunities.
What you’ll learn
- Organisational leadership in setting AI policy and strategy, including the business case and implications for workforce and sustainability
- How to evaluate AI-driven improvement opportunities using qualitative and quantitative evidence, including risk assessment
- Defining, documenting and communicating an AI strategy aligned to organisational goals, values and risk appetite
- Assessing viability and risk through AI use cases and pilots, balancing productivity gains against feasibility and readiness
- Engaging stakeholders, including non-technical audiences, to build support for AI strategy and adoption
- Critically evaluating and monitoring implementation, including responses to emerging AI technologies and trends
Mapped to occupational standards
AI and Automation Practitioner (ST1512), Chartered Manager (ST0272), Machine Learning Engineer (ST1398), Senior Leader (ST0480).
Who it’s for
Leaders responsible for shaping, influencing or supporting decisions about adopting AI systems i.e. those evaluating options, developing business cases, and establishing governance and assurance approaches for AI and digital technologies.
What you’ll learn
- Evaluating AI solutions and vendors using structured criteria (cost, performance, risk, data readiness)
- Making procurement decisions based on testing, benchmarking and user validation
- Assessing risks associated with AI acquisition: vendor lock-in, data, IP, sustainability
- Designing and implementing AI governance frameworks, including roles, responsibilities and escalation pathways
- Embedding ethical, legal and regulatory considerations into AI decision-making
- Defining assurance and compliance processes, including documentation, auditability and transparency
- Designing and implementing human oversight mechanisms for AI systems
Mapped to occupational standards
AI and Automation Practitioner (ST1512), Chartered Manager (ST0272), Machine Learning Engineer (ST1398), Senior Leader (ST0480).
Who it’s for
Leaders responsible for setting direction and overseeing AI use. Particularly those leading the safe and effective delivery of AI-enabled organisational transformation, and ensuring AI solutions are integrated into processes and ways of working.
What you’ll learn
- Leading delivery of AI-enabled organisational change, with solutions aligned to long-term objectives
- Assessing and managing workforce impacts of AI adoption: reskilling, role redesign, displacement, ecosystem impact
- Implementing organisational-level AI risk management, including monitoring, mitigation and escalation
- Meeting audit requirements and regulatory compliance, including incident and security response planning
- Monitoring deployed AI systems for bias, drift and security vulnerabilities
- Communicating AI risks and opportunities internally and externally, including to non-technical stakeholders and regulators
Mapped to occupational standards
AI and Automation Practitioner (ST1512), Chartered Manager (ST0272), Senior Leader (ST0480).
You can take one unit, two units, or all three. Most organisations take all three across one cohort because the units interlock. We help you decide the right starting point on a discovery call.
Eligibility and funding
Who qualifies and how funding works.
AI Leadership apprenticeship units are delivered through a partnership: Magnifica is your trainer, and a partner training provider holds the apprenticeship contract and manages the funding paperwork and compliance side.
Who can take an AI Leadership unit
Skills England sets eligibility. To take any of the three units, a learner must:
- Be employed
- Be aged 19 or over
- Be in a leadership position within their organisation
- Have autonomy to deliver technological change and inform investment decisions
In practice that covers directors, senior managers, heads of function, transformation leads and most C-suite roles. Your employer must support the learner’s participation.
Funding, assessment and validation
Each unit is currently eligible for public funding via the apprenticeship system, up to £750 per unit per learner.
- Funding is administered through the partner training provider
- Assessment is a skills test delivered by the training provider
- Employers validate the result to confirm the learner has passed
- An optional extended assessment is available where employers want independent external validation
Funding eligibility is reviewed periodically by Skills England and the Department for Work and Pensions.
More information
Frequently Asked Questions
Questions worth answering about the AI Leadership apprenticeship units.
The AI Leadership apprenticeship units are three short, government-funded Level 5 training courses approved by Skills England in April 2026: AU0009 (AI strategy and opportunity), AU0010 (AI adoption, procurement and governance), and AU0011 (AI delivery and organisational transformation).
Each unit is a minimum of 30 hours of guided learning, delivered flexibly over 1 to 16 weeks, with up to £750 of public funding per unit per learner. They’re designed for leaders, not analysts so that’s directors, senior managers and equivalent roles with authority over technology decisions.
Eligible learners must be employed, aged 19 or over, and working in a leadership position with autonomy to deliver technological change and inform investment decisions.
In practice that covers most directors, C-suite roles, heads of function, transformation leads and senior managers with budget responsibility. The learner’s employer must support participation.
Each AI Leadership apprenticeship unit is funded up to £750 of public funding. Organisations putting a single learner through all three units (AU0009, AU0010 and AU0011) can access up to £2,250 in funding for that learner.
Funding flows through the apprenticeship system, administered by the partner training provider that holds the apprenticeship contract. Employers paying the Apprenticeship Levy can typically use it to cover these units; non-levy employers have a co-investment route. Funding eligibility is set and periodically reviewed by Skills England and the Department for Work and Pensions.
The three units cover the AI leadership job at three different stages of organisational maturity:
AU0009 – AI strategy and opportunity: For leaders setting direction in organisations at an early or exploratory stage of AI adoption. Covers strategy, business cases, opportunity assessment and stakeholder buy-in.
AU0010 – AI adoption, procurement and governance: For leaders making decisions about which AI tools to buy and how to govern them. Covers vendor evaluation, procurement, risk, governance frameworks, ethics and compliance.
AU0011 – AI delivery and organisational transformation: For leaders overseeing AI implementation at scale. Covers leading change, workforce impact, ongoing risk monitoring, audit and stakeholder communication.
No. Each unit is a standalone qualification and can be taken independently. Most organisations choose to take all three across one cohort because the topics interlock. It is common to start with the one that matches the learner’s current responsibilities and add the others later.
Blended. Sessions combine instructor-led delivery (online or in-person), structured self-study, employer-set workplace application and an assessment. The 30-hour minimum is the guided learning hours with any workplace application being in addition.
We agree the delivery pattern with each cohort. Common patterns are weekly half-day sessions over 8 weeks, or two intensive days a fortnight apart. Both are inside Skills England’s 1-to-16-week window.
Each unit ends with a skills test delivered by the training provider. The learner must demonstrate they’ve acquired the knowledge and skills set out in the unit specification. Employers then validate the result to confirm the learner has passed.
Employers (or learners) can opt for an extended assessment with independent external validation. For regulated occupations, the extended assessment route is generally recommended.
Magnifica’s AI training is led by Rob Gregory.
The apprenticeship contract itself is held by a partner training provider, who manages the funding, the assessment compliance, and the reporting to Skills England. This is how the funded apprenticeship system works. A registered provider has to hold the contract. The arrangement gives you a builder-led trainer and a compliant funded route in one programme.
The minimum guided learning is 30 hours per unit. Delivered over 1 to 16 weeks depending on the pattern. Typical learner commitment is two to four hours of guided learning per week, plus modest workplace application time on top.
The units are deliberately short and flexible so they fit around a senior workload. We work with the learner’s diary, not against it.
No. They’re apprenticeship units which are short, flexible training courses delivered within the apprenticeship funding system. A full apprenticeship is much longer (typically 12 to 24 months) and leads to an end-point assessment (EPA).
The units are designed for employers who need to upskill people quickly in a specific area without the full programme commitment. Each unit is mapped to relevant occupational standards (AI and Automation Practitioner, Chartered Manager, Senior Leader and others) so they sit cleanly inside the wider apprenticeship framework.
Yes. A private cohort lets us tailor examples and exercises to your sector and tech stack. Minimum cohort size for private delivery is typically 8 learners. We also offer mixed-cohort delivery for organisations with one or two leaders to put through.
Built on Credability
Delivered by technical experts with credentials.
We’ve been building technology for UK businesses for 25 years. We don’t just train you on AI, we launch AI systems for our clients too. So, the trainer in the room has built with the thing they’re teaching.
4,000+
People trained since 2016
800+
UK businesses worked with
25
Years building technology
4
AI Platforms covered equally: Claude, ChatGPT, Gemini, Copilot