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Programme overview

This 12-month programme builds the practical AI, workflow and management capability needed from Talent, TA, HR and OD professionals working in a rapidly changing employee lifecycle. It is structured around highly practical monthly missions that help learners improve workflows, operational performance and service delivery in real organisational settings.

Key Information

Duration:
12 months plus end point assessment

Who is this for:
Talent, TA, HR and OD professionals responsible for improving workflows, operational performance or service delivery

Format:

  • Digital-first learning
  • Monthly applied missions
  • Live learning events
  • Peer study groups
  • 1:1 coaching

Qualification Outcomes:

  • Level 4 AI & Automation Practitioner Apprenticeship
  • Microsoft Azure AI Fundamentals certification
  • Eligibility for full Membership of the Institute of Leadership

Funding:

  • Zero cost to employers and learners
  • Fully fundable via the Apprenticeship Levy
  • Funding available: £18,000 per person

Time commitment:
Approx. 4 hours of protected learning time per week + applied learning in role

12 month curriculum overview

The curriculum is modelled on an MBA syllabus, with a monthly structure of practical, work-based challenges customised for talent professionals.

01

Spot the opportunity

Identify high-value Talent opportunities and set clear priorities

02

Map the talent workflow

Analyse workflows, bottlenecks and stakeholder needs

03

Feasibility and risk scan

Evaluate viability, risk and responsible use

04

Option design

Design improved workflows balancing automation and judgement

05

Tool and platform evaluation

Assess tools against needs, constraints and priorities

06

Solution design workshop

Facilitate alignment and agree practical MVP requirements

07

Configure low-code automation

Build useful pilots that solve real workflow problems

08

Integrate and document

Connect systems and document workflows clearly

09

Test and iterate

Refine outputs through feedback, checks and learning

10

Adoption and training

Support uptake through communication, enablement and feedback

11

Governance and assurance

Build trust through controls, oversight and accountability

12

Measure value and scale

Communicate impact and scale what works

Live learning events

Interactive live workshops help participants practise new approaches, discuss real workplace challenges and deepen understanding through guided discussion. Alongside technical AI and automation topics, the event series also develops facilitation, collaboration, stakeholder management, change and communication capability to support real organisational adoption.

  1. Which automations really matter? 
  2. Process mapping for automators 
  3. Responsible and ethical AI 
  4. Selecting from the tool landscape 
  5. Human-in-the-loop design 
  6. Running a solution design workshop 
  7. Building reliable workflows 
  8. Prompt engineering for better outputs 
  9. Integration basics for non-engineers 
  10. Driving adoption of automation 
  11. Governance and audit readiness 
  12. Proving value and ROI 
  13. Facilitation 
  14. Change leadership 
  15. Storytelling 
  16. Relationship building 
  17. Leading change 
  18. Collaboration
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“FTL provides top-tier, highly engaging, effective and innovative methods of teaching and learning leading to high success rates. Learners receive exceptional levels of support including well-planned, high-quality training that helps them learn substantial new knowledge they can quickly apply at work.”
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September 2024

Peer study groups and community networking

Monthly coach-facilitated study groups provide a structured space to exchange ideas, share challenges and explore how learning can be applied in real Talent, TA, HR and OD contexts. The sessions are designed to strengthen judgement, influence, communication and practical decision-making alongside AI and workflow capability.

  1. Find the use case 
  2. Map the workflow 
  3. Balance humans and AI 
  4. Design better hiring 
  5. Improve learning workflows 
  6. Build stakeholder buy-in 
  7. Run safer pilots 
  8. Manage AI risk 
  9. Embed adoption well 
  10. Measure what matters 
  11. Influence without authority 
  12. Lead Talent through AI

Why this programme works

Many development programmes sound valuable in theory, but feel hard to sustain in practice. This programme is designed differently. It is practical, applied, time-efficient, well-supported and professionally meaningful. It is designed to strengthen performance, not compete with it. 

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Practicallinked to real Talent, TA, HR and OD workflows

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Appliedlearning is used in the flow of work, not kept separate from it

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Well-supportedwith coaching, peer learning, live events and AI-enabled support

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Professionally meaningfulleading to recognised qualifications and real workplace value

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Time-efficient: learning that fits the working week

Our programmes are built around the flow of work — not in competition with it. Learners apply new skills directly to real projects, combining online modules, coaching and micro-learning moments that fit busy schedules. With protected learning time and levy funding, development becomes efficient, effective and easy to sustain.

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Weekly Delivery Model

Approx. 4 hours of protected learning time per week — one of the most time-efficient delivery models in the sector.

50% structured learning

Self-paced learning, live workshops, guided exploration using AI learning tools, peer study groups and coaching support. These sessions introduce practical frameworks, tools and approaches that can be applied immediately at work.

50% applied learning

Participants apply learning directly to real workplace challenges through monthly missions and work-based tasks. This keeps development relevant, visible to the organisation and embedded in day-to-day performance.

Learning is designed to strengthen performance, not compete with it.

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