AI for Efficient Programming: Harnessing the Power of LLMs
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AI for Efficient Programming: Harnessing the Power of LLMs
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What you'll learn
You'll learn the basics of AI's potential for efficient programming, the ethics of AI use, and how different LLMs work for common coding tasks.
Skills you'll gain
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Details to know
See how employees at top companies are mastering in-demand skills
There are 4 modules in this course
This course on Artificial Intelligence (AI) for software development explores the use of AI large language models such as ChatGPT, Bard, and others and their potential benefits and challenges. Through examples and hands-on activities, you will develop an understanding of the ways in which AI can speed up software development tasks and free up time for more creative and strategic work.
Unique Features of this Course - Exploration of multiple browser-based AI tools - Hands-on, yet simple activities requiring no installations of software - Emphasis on responsible and ethical use of AI - Beginner friendly for those who want to get started using generative AI tools - Useful ideas for how to leverage tools to make your work better and more efficient - Tried and tested strategies for using AI tools from practicing data scientists and scientific software developers - A fun and playful approach to learning Key Words Artificial Intelligence (AI), ChatGPT, Generative AI, Large Language Models (LLMs), Software Development, Coding, Data Science Intended Audience - Professionals looking to improve efficiency - Students hoping to learn more about programming - Anyone curious about how AI can be harnessed for technology Note: Those completely new to programming will find using AI tools to create software solutions challenging at this time. It is helpful to have some fundamental knowledge to write appropriate prompts and to discern when code is not working as expected. We advise novices to seek expert review. Learning Objectives - Explain the basics of AI and its potential for improving software development workflows - Implement strategies to write and debug code using AI-based tools - Describe the benefits of refactoring code using AI-powered techniques, such as making code readable, keeping it brief, and optimizing code - Apply best practices for annotating code using AI - Recognize strategies for using AI-based tools to understand and analyze code, such as code comprehension of unfamiliar languages or functions - Discuss the challenges and ethical implications of using AI for different aspects of software development Accessibility We are committed to making our content accessible and available to all. We welcome any feedback you might have at https://forms.gle/3sTZpctxzYyhj74NA. Questions related to accessibility accommodations should be directed to https://studentserviceportal.force.com/s/. PDF versions of this course can be found at https://leanpub.com/courses/fredhutch/ai_for_software.
This module provides a general overview of AI Large Language Models, how this technology will change software development, and ethical considerations for using LLMs when creating code and software.
What's included
3 videos4 readings4 assignments2 discussion prompts
3 videos•Total 7 minutes
- General Introduction and Course Overview•3 minutes
- AI Code of Ethics•2 minutes
- Combating Bias in LLMs•2 minutes
4 readings•Total 37 minutes
- About the course•5 minutes
- About the Authors•2 minutes
- Introduction•10 minutes
- Ethics of Using AI•20 minutes
4 assignments•Total 110 minutes
- Introduction Practice Questions•20 minutes
- Ethics Practice Questions•30 minutes
- Introduction Quiz•30 minutes
- Ethics Quiz•30 minutes
2 discussion prompts•Total 20 minutes
- Introduction Discussion•10 minutes
- AI Ethics Discussion•10 minutes
This module covers using LLMs to write, debug, and plan your coding project, as well as how LLMs can help with common refactoring tasks.
What's included
4 videos2 readings4 assignments2 discussion prompts2 plugins
4 videos•Total 8 minutes
- Writing Code Introduction•4 minutes
- Writing Code Summary•1 minute
- Refactoring Code Introduction•2 minutes
- Refactoring Code Summary•1 minute
2 readings•Total 60 minutes
- Writing Code•30 minutes
- Refactoring Code•30 minutes
4 assignments•Total 120 minutes
- Writing Code Practice Questions•30 minutes
- Refactoring Practice Questions•30 minutes
- Writing Code Quiz•30 minutes
- Refactoring Quiz•30 minutes
2 discussion prompts•Total 20 minutes
- Writing Code Discussion•10 minutes
- Refactoring Code Discussion•10 minutes
2 plugins•Total 40 minutes
- Writing Code Hands-on Activity•20 minutes
- Refactoring Code Hands-on Activity•20 minutes
This module covers how to use LLMs to properly annotate your code and to understand code and functions that you did not write.
What's included
4 videos2 readings4 assignments2 discussion prompts2 plugins
4 videos•Total 8 minutes
- Annotating Your Code Introduction•5 minutes
- Annotating Your Code Summary•0 minutes
- Understanding Unfamiliar Code Introduction•2 minutes
- Understanding Unfamiliar Code Summary•1 minute
2 readings•Total 60 minutes
- Annotating Your Code•30 minutes
- Understanding Unfamiliar Code•30 minutes
4 assignments•Total 120 minutes
- Annotating Practice Questions•40 minutes
- Understanding Unfamiliar Code Practice Questions•20 minutes
- Annotating Quiz•30 minutes
- Understanding Unfamiliar Code Quiz•30 minutes
2 discussion prompts•Total 20 minutes
- Annotating Code Discussion•10 minutes
- Understanding Unfamiliar Code Discussion•10 minutes
2 plugins•Total 40 minutes
- Annotating Your Code Hands-on Activity•20 minutes
- Understanding Unfamiliar Code Hands-on Activity•20 minutes
This bonus section covers possible uses and caveats for LLMs in bioinformatics, particularly when working with private data.
What's included
1 video1 reading1 assignment1 discussion prompt2 plugins
1 video•Total 1 minute
- AI for Bioinformatics Summary•1 minute
1 reading•Total 15 minutes
- AI for Bioinformatics•15 minutes
1 assignment•Total 30 minutes
- Bioinformatics Practice Quiz•30 minutes
1 discussion prompt•Total 10 minutes
- AI for Bioinformatics Discussion•10 minutes
2 plugins•Total 30 minutes
- Programming Languages and Cloud Computing•15 minutes
- References•15 minutes
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