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Complete Prompt Engineering for Beginners

By Sophia

About Course

Prompt Engineering for Beginners introduces learners to the art and science of designing effective prompts for AI models such as ChatGPT, Claude, and other Large Language Models. The course explains how AI interprets instructions, why clarity and context matter, and how structured prompting improves output quality.


Students learn foundational concepts such as tokens, temperature, parameters, model limitations, and structured frameworks including C.R.E.A.T.E., P.R.O.M.P.T., and R.A.T.E. The course also explores prompt patterns like zero-shot, one-shot, few-shot, and chain-of-thought prompting.

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What Will You Learn?

  • Understand how Large Language Models generate responses using tokens and probabilities.
  • Explain how temperature affects AI creativity and predictability.
  • Apply the Four Pillars of strong prompts: clarity, context, instruction, and format.
  • Use role prompting to guide tone and expertise.
  • Add constraints such as word limits and formatting requirements.
  • Apply Zero-Shot, One-Shot, Few-Shot, and Chain-of-Thought prompting techniques.
  • Use structured frameworks like C.R.E.A.T.E., P.R.O.M.P.T., and R.A.T.E.
  • Identify and fix vague or ineffective prompts.
  • Refine AI outputs through iteration and testing.
  • Apply prompt engineering in writing, marketing, communication, and coding tasks.

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