[ 6 sections · 18 lectures · About 45 minutes ]
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.
What you will learn
- Understand the basics of AI and its applications in the workplace.
- Recognize the strengths and limitations of AI tools.
- Learn how to verify and responsibly use AI outputs.
- Build confidence in applying AI to improve efficiency while maintaining ethical standards.
- For leaders: know what to expect from teams using generative AI.
Syllabus
Taken from the Udemy course page. Optional readings sit under lectures; they are not required to complete the videos.
[ 01 ]
Introduction
1 min
Why AI literacy is now a core workplace competency, and what this short course is (and is not) for.
- Introduction
[ 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
[ 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
[ 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
[ 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
[ 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 to become an AI engineer, prompt wizard, or model trainer.
Requirements
No prior AI knowledge. Familiarity with ordinary workplace software is enough.
Taught in English. Auto-generated captions in Czech, German, and 14 other languages. Last updated on Udemy October 2025.
[ Next step ]
The lectures live on Udemy.
This page is the syllabus. The videos, quizzes inside Udemy, and any completion record are on the course page.