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Prompt Engineering with GPT: Programming for Custom Content
Coursera MOOC / Non-credit 0

Prompt Engineering with GPT: Programming for Custom Content

About this course

Ever wondered how we can use AI in programing to make our workloads easier? In this 2-hour long project-based course, you will master the art of prompt engineering to design an educational tool using the capabilities of OpenAI's GPT-3 language model. You will be creating a multiple-choice quiz generator using Python and GPT-3. You will write a Python script from scratch that is able to generate a custom multiple-choice exam, capable of dynamically adjusting the topic, number of questions, and number of potential answers. To successfully navigate this project, you should have a basic understanding of Python programming, functions, variable assignments, and experience working with APIs.

C

55/100

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What you'll learn

  • write Python code that calls the GPT‑3 API
  • design effective prompts to control language‑model output
  • create a dynamic multiple‑choice quiz generator
  • adjust quiz parameters such as topic, number of questions, and answer options programmatically

Course objectives

  • implement API authentication and request handling in Python
  • craft prompts that elicit specific educational content from GPT‑3
  • assemble generated content into a structured quiz format
Artificial Intelligence #python #machine learning #prompt engineering #api integration #software development #educational tools #gpt-3 #dynamic content #ai programming #quiz generation #openai api #language models #quiz generator #multiple-choice questions #prompt design #text generation
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