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Use AI Securely
Udemy

6 sections · 18 lectures · About 45 minutes · last reviewed 17 September 2026

AI Literacy Essentials: Working Responsibly with AI

Essential AI literacy for people who use AI at work. Not a technical course. Not a compliance certificate. A baseline you can finish in a lunch break and assign to a team the same afternoon.

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What you will learn

  • Recognise AI where it already sits in ordinary work, and separate real capability from the demo reel.
  • Know where these systems fail: bias, invented citations, and data that should not have been pasted in.
  • Handle work data, verify outputs, and keep a human responsible for what goes out.
  • Document AI use so a later question from security, legal, or a manager can be answered.
  • For managers: know what a shared baseline looks like before you set team rules.

Syllabus

Taken from the Udemy course page. Optional readings sit under lectures; they are not required to complete the videos.

  1. 01

    Introduction

    1 min

    Why AI literacy is now a core workplace competency, and what this short course is (and is not) for.

    • Introduction

  2. 02

    Understanding AI in Everyday Work

    6 min

    Recognize AI where it already sits in the job, build a working definition, and separate real capability from the demo reel.

    • Recognizing AI
    • Defining AI
    • Capabilities vs. Reality

  3. 03

    AI's Strengths, Weaknesses, and Misconceptions

    11 min

    What these systems do well, where they fail, a concrete bias example, and the myths that get people into trouble.

    • AI's Strengths
    • AI's Weaknesses and Limitations
    • Real-life example: AI bias
    • Common Misconceptions

  4. 04

    Recognizing and Managing AI-Related Risks

    11 min

    Data privacy and security, the regulatory landscape including the EU AI Act, real incidents, and the new risk of AI browser agents that act on a user's behalf.

    • Data Privacy and Security
    • Compliance and Regulatory Landscape
    • Real World Incident Examples
    • When AI takes action: AI browser agents

  5. 05

    Practical Guidelines for Safe AI Use

    5 min

    Four working habits: obtain approval, protect data, verify results, and keep a human in charge. Plus how to document AI use so it can be explained later.

    • Responsible Interaction Steps
    • Documentation and Transparency

  6. 06

    Conclusion and Next Steps

    9 min

    A recap, how to keep literacy current, a curated reading list under the lectures, and a two-minute timeline of AI capabilities.

    • Recap Key Takeaways
    • Continuing Your AI Literacy Journey
    • Going further: AI Literacy reading list
    • Outro: Timeline of AI capabilities

Designed for

  • Professionals using, or about to use, AI tools at work.
  • Managers who need a shared baseline before they set team rules.
  • L&D, HR, compliance, DPO, and security leads rolling out a short literacy measure.
  • Organisations responding to EU AI Act Article 4 who need a documented, assignable course, not a six-month programme.

Not designed for

  • People who already teach or audit AI systems for a living.
  • Teams that need tool-specific playbooks (which data may go into which approved system).
  • Anyone expecting a prompting course, or to become an AI engineer or model trainer.

Requirements

No prior AI knowledge. Familiarity with ordinary workplace software is enough.

Taught in English. Captions in Czech, German, and 14 more languages. Last updated on Udemy October 2025.

The lectures live on Udemy.

This page is the syllabus. The videos, quizzes inside Udemy, and any completion record are on the course page.

View the course on Udemy