AI Foundations & Workplace Application
Duration |
1-Day Workshop | Classroom / Virtual
AI won’t take your job. Someone who knows how to use it might.
Overview
A practical introduction to generative AI in the workplace, equipping participants with the knowledge and confidence to use AI effectively in everyday tasks. The course focuses on practical application, helping employees improve productivity, enhance output quality, understand AI limitations, and use generative AI responsibly within organisational policies and guidelines.
Learning Objectives
Build practical AI capability: Develop the knowledge and confidence required to use generative AI effectively in everyday workplace tasks
Improve productivity and output quality: Develop practical skills for using AI to support more efficient work and enhance the quality of outputs.
Evaluate AI limitations: Develop the ability to recognise limitations and assess AI-generated information before use.
Promote responsible AI use: Develop an understanding of responsible AI practices within organisational policies and guidelines.
Learning Outcomes
By the end of the course, participants will be able to:
Explain AI capabilities: Explain the fundamental capabilities and limitations of generative AI within a business environment.
Apply effective prompting: Apply core prompting approaches using context, tasks, constraints and output formats to improve response quality.
Evaluate AI outputs: Identify potential hallucinations, evaluate accuracy and address bias before implementing AI-generated outputs.
Demonstrate responsible use: Demonstrate AI practices aligned with organisational data privacy and governance policies.
Learning Challenges vs. Learning Impact
This table connects common AI adoption challenges with practical learning impacts, showing how capability development improves confidence, efficiency, consistency and responsible workplace use.
Learning Challenge | Learning Impact |
|---|---|
Uncertainty about AI application: Employees may be unsure where generative AI fits into their daily work. | Identify practical opportunities: Apply AI more effectively to workplace tasks, supporting faster task turnaround. |
Trial-and-error prompting: Employees may waste time experimenting with prompts without a consistent approach. | Improve task efficiency: Apply more consistent prompting practices to support faster task turnaround. |
Fear of using AI incorrectly: Employees may lack confidence in using AI appropriately. | Use AI confidently and compliantly: Apply AI practices with greater confidence while remaining aligned with organisational policies. |
Inconsistent output quality: AI-generated outputs may vary in quality across team members. | Improve consistency: Produce more consistent, higher-quality AI output and establish a shared understanding of AI use across the team. |