AI at Work: What Every Employee Needs to Know About AI

Descripción

AI is no longer just for tech teams. It’s shaping every part of business. From HR and finance to sales, customer support, and marketing, tools like ChatGPT and Copilot are changing the way we work. But with opportunity comes risk: data leaks, compliance issues, and biased or inaccurate outputs. That’s why every employee needs a clear, practical foundation in how to use AI safely, responsibly, and productively. AI at Work: What Every Employee Needs to Know About AI is a fast-paced, interactive course designed for non-technical professionals. In under 30 minutes, learners will: • Understand AI fundamentals — what AI is, how it works, and why it matters. • Spot risks and bias — recognize when AI outputs are misleading, unfair, or fabricated. • Protect company data — follow simple guardrails to avoid leaks, privacy breaches, and compliance failures. • Use prompts effectively — apply proven prompting techniques and grounding strategies to get reliable outputs. • Evaluate AI results — verify facts and reduce errors before sharing or acting on AI-generated content. To make learning stick, the course includes: • Quizzes to check knowledge after key modules. • Practical exercises where learners try out prompts and spot hallucinations. • Real-world examples and case studies — from productivity wins to costly AI mistakes. • Clear checklists employees can apply immediately in their daily work. This course is built for employees at all levels and functions, no technical background required. It’s especially valuable for organizations that want to build AI literacy across the company, reduce compliance risks, and unlock safe productivity gains. By the end, learners won’t just “know about AI”, they’ll be able to use it confidently as a trusted assistant, not a liability. Disclaimer #1: This course uses awesome AI.

Lo que aprenderás

• Explain what AI is, where it shows up in daily life, and why it matters in today’s workplace.
• Recognize common types of bias in AI systems and identify how they can lead to unfair or inaccurate results.
• Describe how large language models (LLMs) like ChatGPT work, including their strengths, limits, and risks.
• Apply safe data practices when using AI tools by avoiding leaks of confidential or sensitive information.
• Use effective prompting techniques (such as examples, roles, and grounding) to get clearer, more reliable outputs from AI.
• Evaluate AI outputs for errors, hallucinations, and compliance risks, and verify information before acting on it.

Requisitos

• Laptop, Internet Connection and an Open Mind to Learn