AI-Powered Productivity Programme Overview
This programme is designed to help teams effectively use Generative AI (GenAI) in their daily tasks and drive real efficiencies with tools like Microsoft 365 Copilot or Gemini. It is part of our AI Academy Programmes.
Key Skills Gained:
AI literacy
Responsible AI
AI tools
AI championship
AI adoption
Microsoft 365 Copilot
Google Gemini
Business Outcomes:
Real-time ROI: Enable scalable adoption of Generative AI tools like Microsoft 365 Copilot to create measurable business impact and tangible business outcomes.
Streamlined workflows: Enable teams to boost productivity gains from the start and automate repetitive tasks through smart use of GenAI.
Reduce risk: Promote AI literacy and responsible usage across your organisation.
Apprenticeship Qualification Achieved: Level 3 Digital Support Technician
Duration: The AI-Powered Productivity (AI-Powered Productivity, Level 3) programme typically takes 13 months to complete, followed by a 3-month End Point Assessment (EPA). Some Apprentices starting in June 2026 have a training plan of up to 15 months, which provides additional time if needed. The Apprentice's training plan is the definitive source for their specific expected end date. The Apprentice can check their training plan on The Platform or speak to their Coach for confirmation.
Software Requirements: AI Powered Productivity Software Requirements
AI-Powered Productivity Indicative Curriculum Breakdown
Phase 1: Laying the groundwork: AI literacy and responsible use
Month 1: AI technologies in the workplace
Month 2: Prompt engineering and assessing risk
Month 3: Data privacy, security, and governance
Month 4: Harnessing GenAI for productivity
Phase 2: Leveraging Microsoft 365 Copilot or Gemini to supercharge productivity
Month 5: From productivity to quantifiable impact
Month 6: Data analysis and visualisation
Month 7: AI for effective communication
Month 8: End point assessment (EPA) preparation + durable skills
Phase 3: Championing GenAI in the workplace
Month 9: How GenAI is driving innovation
Month 10: Supporting others to use GenAI
Month 11: Ethical and sustainable AI
Month 12: Staying ahead in the Generative AI revolution
Month 13: End point assessment (EPA) preparation session
Note: This is an example curriculum, and specific details may vary per cohort.
AI-Powered Productivity Indicative Delivery Model
Monthly delivery model, approx. 26 hours per month total commitment. The exact time commitment will be outlined in the training plan that apprentices will receive at the start of their apprenticeship.
Structured Learning (~40% - 10 hours/month):
Asynchronous learning (3.5 hours): Online, self-paced content that sets the foundation of skills for the module.
Live workshops (3.5 hours): Instructor-led, interactive learning that dives deeper and reinforces the async content.
Group coaching (1 hour): Structured coach and peer support on project deliverables.
Coach support (2 hours): Includes tutoring, progress reviews and other support.
Working in Existing Role (~60% - 16 hours/month):
Project & applied learning (16 hours): Structured and unstructured application of learning to partners' roles.