Course Snapshot
- Duration
- Workshop format
- Level
- Introductory level
- Format
- Interactive facilitator-led workshop
- Delivery
- In-person (online sessions available on request)
Building AI literacy for confident, and responsible decision-making.
Request Tailored DeliveryAbout the Course
A foundational course designed to cut through the hype and give practical, grounded understanding of artificial intelligence and its real-world applications.
Artificial Intelligence is everywhere from emails and reports to decision-support systems and automation tools, yet much of what surrounds AI is hype, misunderstanding, or fear.
The course gives a clear understanding of what AI can do, where its limits are, and how to work with it responsibly. It helps participants ask better questions and make better decisions when using AI tools.
Designed for professionals across all sectors who want practical AI literacy.
Working with or exposed to AI tools in daily operations.
Navigating AI adoption and governance frameworks.
Seeking informed, risk-aware perspectives on AI strategy.
No technical background required; built for practical understanding.
Skills you will master for practical, safe AI use.
Explain differences between traditional automation, machine learning, and generative AI tools, and identify where human judgment remains essential.
Explore pattern recognition, prediction, and content creation use cases such as forecasting, drafting emails, and document support.
Identify bias from data and design, AI hallucinations, black-box limitations, and risks of over-automation in decision-making.
Use three practical yes-or-no questions to assess whether AI-generated output should be trusted.
Understand multi-skill agent systems and the implications of AI-driven role changes for organizations and workforce planning.
Module 1
A clear model of what AI can and cannot do in real work settings.
Module 2
How AI is used for prediction, drafting, and decision support without overclaiming capabilities.
Module 3
Bias, hallucinations, and over-automation risks participants must identify early.
Module 4
Simple reliability checks to apply before acting on AI-generated output.
Module 5
Agent systems, changing job roles, and practical planning conversations toward 2050.
No technical background required.
This course is introductory and designed for beginners, while still including guided practical exercises.
Delivery is in-person for hands-on learning, with online sessions available on request.
No technical background is required; the course is built for practical understanding.
Get detailed information about course content, scheduling, and pricing for your team or organization.