Essential AI Skills for Work
Aligned with the UK’s nationally recognised AI skills frameworks, this training establishes a consistent baseline of AI capability across the workforce. It reduces unmanaged risk and ensures employees use AI tools safely and effectively.Â
Developing Baseline AI Workforce Capability
Essential AI Skills for Work solves the enterprise AI capability challenge by creating a shared, governance-aligned foundation.
It enables organisations to:
- Standardise AI literacy across departments
- Strengthen responsible AI behaviour
- Reduce unmanaged experimentation
- Align workforce practice with governance and organisational policy
- Demonstrate alignment to recognised UK frameworks
AI adoption becomes structured and defensible.
Who Is This Training For?
This course establishes the standard expected of AI-enabled employees. It supports organisations looking to formalise a standard workforce AI capability for employees.
It is particularly relevant where:
- AI tools are already being used across teams
- Governance standards require a consistent understanding
- Leaders want a measurable workforce AI capability
- Organisations preparing to leverage UK Government AI Skills Boost provision
This half-day programme establishes a consistent baseline of AI capability across your workforce, aligned to nationally recognised standards.
Format and Costings
This half-day programme establishes a consistent baseline of AI capability across your workforce, aligned to nationally recognised standards.
3 CPD points awarded on successful completion
- Professional CPD certificate issued to each participant
- Priced per learner, starting from £495 for a single learner
- Incremental discounts available as cohort size increases
In-person or live virtual classroom formats available with pricing tailored to cohort size and organisational requirements.
The Enterprise Adoption Pathway
For enterprises looking to scale AI skills across the workforce, Essential AI Skills for Work anchors Stage 1 of the AI-Ready Organisation model.
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