What You'll Learn
- What artificial intelligence actually is
- The difference between AI, machine learning, and generative AI
- How to communicate effectively with AI
- Why AI sometimes gets things wrong
- When AI should (and shouldn't) be trusted
- How privacy, data sensitivity, and risk should shape your tool choice
- Practical ways to use AI at work and at home
Core Lessons
Introduction to AI Fundamentals
Understand what artificial intelligence is, how it works, the different types of AI, and why it is becoming one of the most important technologies of our time.
Prompt Engineering Explained
Learn why context matters more than clever wording and discover how better communication leads to better AI responses.
Why AI Gets Things Wrong
Understand hallucinations, bias, and why critical thinking and verification are essential AI skills.
Choosing the Right AI Tool: Privacy & Responsible Use
Choose AI tools based on information sensitivity, risk, approval, and human oversight—not just features or popularity.
How to Use This Path
Follow the lessons in order if AI is new to you, or open the lesson that answers your current question. Each lesson includes a remote activity and answers you can reveal without an account.
Use low-risk practice material
Do not paste passwords, financial details, client information, confidential workplace material or private documents into a consumer AI service. The activities use fictional, public or sanitized information.
Ready to understand the technology behind AI?
Now that you have a foundation in artificial intelligence, continue your learning by exploring the technologies that power modern websites, applications, cloud services, and databases.
Explore Technology Fundamentals →