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https://github.com/fhdsl/AI_for_Efficient_Programming

This course on AI for software development explores the use of AI large language models (ChatGPT, Bard, etc) and their potential benefits and challenges. Hands-on activities show the ways in which AI can speed up software development tasks and free up time for more creative and strategic work, maximizing benefits/efficiency while limiting harm.
https://github.com/fhdsl/AI_for_Efficient_Programming

ai-uses annotate-code artificial-intelligence audience-researchers audience-software-developers category-software-dev chatbot course ethics hutch-course itn-course launched-apr2023 learn-ai llm refactor-code software-learning understand-code write-code

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This course on AI for software development explores the use of AI large language models (ChatGPT, Bard, etc) and their potential benefits and challenges. Hands-on activities show the ways in which AI can speed up software development tasks and free up time for more creative and strategic work, maximizing benefits/efficiency while limiting harm.

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# AI and Large Language Models for Software

[![Render Bookdown and Coursera](https://github.com/jhudsl/OTTR_Template/actions/workflows/render-all.yml/badge.svg)](https://github.com/jhudsl/OTTR_Template/actions/workflows/render-all.yml)

This course was created from [this GitHub template](https://github.com/jhudsl/OTTR_Template).

You can see the rendered course material [here](https://hutchdatascience.org/AI_for_Efficient_Programming/).

If you would like to contribute to this course material, please [submit an issue](https://github.com/fhdsl/AI_for_Efficient_Programming/issues).

## About this course

This course guides learners in how to leverage AI, specifically Large Language Models such as ChatGPT and Bard, for software.

## Learning Objectives

This course will teach learners to use AI to:

- Generate code
- Debug code
- Refactor code
- Annotate code
- Understand code written by others
- Translate code to other languages
- Follow ethical guidelines for using AI

Creative Commons License
All materials in this course are licensed under a Creative Commons Attribution 4.0 International License unless noted otherwise.