The world of work is changing, and Artificial Intelligence is at the heart of that transformation. But what exactly is AI, and how does it affect your daily job?
AI Awareness for the Workplace is designed to take the mystery out of the "Black Box." This foundational course provides a non-technical, inclusive look at what AI is, how it works, and - most importantly - how it can be a tool for good in your professional life. We move past the jargon to help every employee understand the difference between a bot and a brain, ensuring that your team feels empowered rather than replaced. This course is the essential first step for any organisation looking to build a culture of innovation and responsible AI use.
Identify and explain common AI terms in plain English.
Navigate a basic AI interface to complete a simple, non-work-critical task.
Recognise AI applications in their specific industry.
Understand the basic risks of AI, including bias and data privacy concerns.
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| 1 day | Get a Quote | ||
| 1 day | Get a Quote |
Save up to 10% by booking and paying 10 business days before the course.
This course is for everyone. It is designed for the entire workforce, regardless of department or seniority.
General Staff & Admin: To understand how AI tools might assist in their daily tasks.
Frontline Workers: To see how AI is being used in customer service, logistics, and retail.
Entry-Level Professionals: To begin building the "AI-fluency" required for career growth.
Non-Technical Teams: For those who want to unders
None. This is a true "Level 0" foundational course. No prior knowledge of AI or advanced technical skills is required.
What is AI? A high-level, non-technical overview of the history and evolution of AI.
Decoding the Jargon: Simple explanations for AI, ML, LLMs, and Generative AI.
How AI "Learns": A basic look at data and patterns (without the math).
The "Black Box" and AI Trust: Understanding why AI makes certain choices and how to verify them.
AI in the Real World: Examples you already use (Netflix, Google Maps, Predictive Text).
Industry Spotlights: How AI is being used in Finance, Healthcare, Retail, and Manufacturing.
Augmentation vs. Replacement: Why AI is a "co-pilot," not the pilot.
The "First Hello": A step-by-step walkthrough of opening a Large Language Model (LLM).
The Power of Natural Language: Asking a simple question and seeing the AI respond.
A "Quick Win" Exercise: Using AI to help with a small, relatable task (e.g., "Write a recipe from three ingredients" or "Draft a 2-sentence thank you note").
The Feedback Loop: Learning how to talk back to the AI to refine its answer.
Bias and Fairness: Why AI isn't always neutral and how to spot "hallucinations."
Data Privacy & POPIA: The basics of keeping company and personal information safe.
Human-Centric AI: The importance of human oversight and professional accountability.
Staying Curious: How to keep up with AI changes without being overwhelmed.
Next Steps in Training: An introduction to the "AI for Business Professionals" track.
Q&A and Demystification: Clearing up common myths and "Sci-Fi" fears.
There are currently no scheduled dates.