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AI-Powered Productivity

Multiverse AI-Powered Productivity: GenAI tools, responsible AI, productivity, aligned to Level 3 Digital Support Technician.

Updated over a week ago

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: 13 month delivery, plus 3 month assessment


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.


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