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AI Literacy

Work smarter, not harder — with AI as your ally

Used well, AI can free up hours of time, sharpen decision-making, and give your team a genuine competitive edge. Used poorly, especially when paired with poor data practices, it can create risk, confusion, and unreliable results. This hands-on introduction to AI grounds delegates in how it actually works, with a particular focus on how AI and sound data management go hand in hand.

You'll leave with the practical knowledge and confidence to apply AI responsibly, productively, and as a team.

Training Coach sitting

Public courses (online)

Duration: 4 hours

Courses are run at different times for these zones:
Central and Eastern Standard Time (CST, EST)
Atlantic Standard Time and Greenwich Meantime (AST, GMT),
Central and Eastern European Time (CET, EET),
Gulf Standard Time (GST)

Private training (online or in-house)

Duration: 4 hours
*Discounts for groups of +10

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Course overview

This course is for everyone who is going to be exposed to AI. Learn how to work with AI whilst still protecting personal and organisational data, make informed decisions rather than using AI blindly.

AI‑literate teams work smarter, reduce risk, and contribute to a more resilient, future‑ready organisation.

This course consists of the following:

  • Introduction to AI
  • Key AI Concepts
  • Data and AI
  • AI Risks and Challenges
  • AI in the Workplace
  • Responsible AI Use
  • AI Tools and Applications
  • Developing AI Literacy Skills
  • Future Trends in AI

Learning outcomes

After attending this course, delegates will:

  • Have a good understanding of AI
  • Be in a position to apply better data practises
  • Be able to work responsibly with AI
  • Be more productive working with AI
  • Collaborate as a team when it comes to AI

* A certificate of attendance will be provided on completion of the course

Intended participants

Participants – anyone who will be using AI

Why train your team together?

Training a team together creates organisational capability. Transform learning into a shared operational improvement initiative — not just a once-off course.

When teams learn together:

  • Shared understanding of data quality standards and terminology
  • More consistent data practices across the organisation
  • Improved collaboration on data issues and reporting
  • Easier implementation of new data quality processes
  • Stronger accountability and ownership
  • Better communication between business and technical teams
  • Teams return aligned, motivated, and ready to execute

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