Learning path
Prompt Engineering
Get great answers from ChatGPT, Claude and Gemini: clear prompts, examples, roles, step-by-step thinking and safe use of AI tools.
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1
Prompt Engineering Introduction
What prompt engineering is, how AI chatbots like ChatGPT, Claude and Gemini actually produce answers, and why the way you ask changes what you get.
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2
Writing Clear Prompts
The building blocks of a good prompt (task, context, examples, format and constraints), with before-and-after examples.
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3
Roles, Audience and Context
Use roles and audience to control tone and depth, give the AI the background it needs, and build reusable prompt templates.
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4
Teaching by Example: Few-Shot Prompts
Show the AI one to three examples of what you want, the fastest way to control style, format and tricky judgement calls.
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5
Step-by-Step Thinking and Prompt Chains
Get better answers to hard questions by asking the AI to reason step by step, and break big jobs into a chain of smaller prompts.
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6
Tables, Lists and JSON: Controlling the Output
Get answers in exactly the shape you need: tables for comparisons, checklists, word limits, and JSON that a program can read.
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7
Using AI to Learn Coding and Work Faster
Practical prompts to learn faster, debug code, prepare for interviews and handle everyday work, plus the habits that make AI a teacher instead of a crutch.
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8
AI Limits, Safety and Responsible Use
Why AI makes mistakes, how to check its answers, what never to share, prompt injection, bias, and a ready-to-use prompt cheat sheet.