AI Training for Education

We help universities, further education colleges and 6th form colleges build confident, practical AI capability for staff and students.

Generative AI Foundation Course

Staff

Supports staff to apply AI directly to their own workflows and align their practice with institutional AI policy

Students

Give students practical AI capability for the workplace so they can use these tools effectively in their future careers.

Participants will also walk away with a personalised GenAI integration roadmap.

How the Course Works

Online and Self-Paced

The course is delivered online and self-paced, allowing participants to apply learning in real time to their own workflow.

The course is structured into four modules, each taking around one hour to complete. The modules are designed to be completed weekly so participants can apply what they have learnt before progressing.

For Staff

We recommend staff complete the course as teams or departments, supporting shared understanding and alignment.

We also include peer-sharing activities, enabling teams to learn together and avoid knowledge being siloed.

For Students

The course can be completed individually, but we recommend delivery in cohorts, ideally with a mentor, to support discussion and deeper application.

Module Details

Module 1

What Problem Are You Trying to Solve?

Goal: Identify where AI creates meaningful value in your specific context.

Foundations click for details...

Key Learnings:

  • • Identify high-value AI opportunities
  • • Focus on problems, not tools
  • • Measure success with clear baselines
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Module 2

Prompt Engineering

Goal: Master prompting techniques that generate professional-quality AI outputs.

Foundations click for details...

Key Learnings:

  • • Structure prompts with goal and context
  • • Apply advanced prompting techniques strategically
  • • Refine outputs to professional standards
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Module 3

Advanced Prompting and Agentic AI

Goal: Build repeatable AI-driven workflows that deliver consistent business value.

Foundations click for details...

Key Learnings:

  • • Design clear project structures
  • • Understand how context improves AI output
  • • Centralise information for team adoption
  • • Examine the concept of agentic AI
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Module 4

Evaluation and Experimentation

Goal: Develop systematic approaches to improve AI outputs and measure business outcomes.

Foundations click for details...

Key Learnings:

  • • Test prompts systematically
  • • Implement structured feedback loops
  • • Move from experiments to operations
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Try out the first module!

Module 1 for staff

Module 1 for students

Outcomes You Can Expect

  • Faster AI adoption because participants apply the course directly to their own day-to-day workflow.
  • Stronger institutional consistency through staff alignment with AI policy.
  • More confident teams through structured peer-sharing and practical implementation habits.
  • Workplace-ready student capability.