Learning path
AI basics, in the order that makes sense.
This path is for readers who want to understand AI before choosing tools, writing prompts, or trusting AI answers. Start with the core idea, then move into machine learning, generative AI, prompts, and verification.
Recommended order
Read these first
What is AI?
Start with what AI can do, what it cannot do, and why modern AI feels different.
02Machine learning
Learn how systems improve from examples without being manually programmed for every case.
03Generative AI
Understand how AI creates text, images, code, and summaries from instructions.
04Prompt basics
See how instructions, context, examples, and constraints shape the output.
What to understand
AI is useful, but it is not a source of truth by itself.
The most important beginner habit is to treat AI output as a draft. It may be helpful, fast, and well written, but it can still miss context, invent details, or sound more certain than the evidence allows.
After this path, a reader should be able to explain the difference between AI, machine learning, and generative AI, write clearer prompts, and know when a trusted source or human review is needed.
Common beginner mistakes
- Comparing AI tools before understanding the task.
- Trusting a confident answer without checking sources.
- Pasting private information into a tool without thinking about risk.
- Using AI to replace learning instead of using it to practice.
Next guides
Move from basics to practice
How to Write Better AI Prompts
Turn vague requests into clear instructions with audience, format, and review steps.
VerificationHow to Check AI Answers
Use a simple process for checking claims, numbers, sources, and practical advice.
LearningBuild a Practical AI Learning Plan
Turn curiosity into a step-by-step learning route instead of random tool testing.