AI is already embedded in everyday work: faster emails, instant analyses and content created in seconds. Powerful — but also risky. One careless prompt can expose confidential information or drive decisions without proper oversight.
The AI Literacy e-learning series is designed for professionals with limited to moderate prior knowledge who want to apply AI in their organisation. It blends practical application with real-world risk awareness, so participants can move faster without losing control.
You learn how AI works (without heavy technical detail), which tools are most useful today (such as ChatGPT, Copilot, DALL·E and MidJourney), and how to select AI applications that create real value — not “AI for the sake of AI”, but as part of a goal-driven improvement approach.
The series then moves from ideas to evidence: how to design AI experiments, measure outcomes and document results so the organisation can make informed decisions. It also addresses the human side: required AI competencies, sustainable learning strategies and knowledge sharing — so AI capability does not depend on one enthusiastic colleague.
A key theme is adoption. AI initiatives often fail not because of technology, but because of uncertainty and resistance: questions about data, jobs, control and transparency. Participants learn stakeholder analysis, targeted communication and how to integrate culture and ethics into the rollout.
Finally, the series focuses on privacy and security. Participants learn why entering personal or confidential data into public AI tools can create compliance and leakage risks, why “quick anonymisation” is not always sufficient, and how system integrations (CRM, portals, internal tools) increase exposure. Practical guidance is provided for risk identification, protocols and incident reporting.
The core message: AI creates value only when used consciously — with a clear use case, measurable outcomes, the right competencies, organisational buy-in, and controlled privacy and security risks.
Module overview
Module 1 – Introduction to AI Literacy
What (Generative) AI is, how it works, and its impact on organisations and society.
Module 2 – Generative AI tools & capabilities
The most relevant tools, strengths/limitations, and sector examples.
Module 3 – Selecting use cases
How to choose AI applications based on real needs, data availability, feasibility and impact.
Module 4 – Designing experiments & proving results
From pilot to evidence: baselines, control groups, measurement and reporting.
Module 5 – Building and sustaining AI competencies
Defining skills, learning strategies and long-term competency management.
Module 6 – Creating organisational buy-in
Change management, stakeholder analysis, communication, culture and ethics.
Module 7 – Privacy and security in AI
Privacy risks, security risks, protocols, monitoring and incident management.
What will participants learn?
Participants will be able to:
- identify and select the most useful Generative AI tools
- choose high-value AI use cases based on need, data, feasibility and impact
- design and run AI experiments and demonstrate results convincingly
Who is this series for?
- professionals implementing AI in their organisation
- teams with limited to moderate AI experience
- departments such as HR, IT, communications, operations, marketing, customer service
Why this series matters now
AI is rapidly being embedded into standard workplace tools and processes. Investing in AI literacy now prevents “shadow AI”, reduces privacy/security incidents and increases the chance that AI initiatives are adopted and deliver measurable value.