What Is Java Used For?
February 10, 2025
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Instructors: Elizabeth Humphries, PhD
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Beginner level
Some programming experience is recommended but not required.
Recommended experience
Beginner level
Some programming experience is recommended but not required.
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.
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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.
3 videos4 readings4 assignments2 discussion prompts
This module covers using LLMs to write, debug, and plan your coding project, as well as how LLMs can help with common refactoring tasks.
4 videos2 readings4 assignments2 discussion prompts2 plugins
This module covers how to use LLMs to properly annotate your code and to understand code and functions that you did not write.
4 videos2 readings4 assignments2 discussion prompts2 plugins
This bonus section covers possible uses and caveats for LLMs in bioinformatics, particularly when working with private data.
1 video1 reading1 assignment1 discussion prompt2 plugins
Fred Hutchinson Cancer Center unites individualized care and advanced research to provide the latest cancer treatment options while accelerating discoveries that prevent, treat and cure cancer and infectious diseases worldwide. Based in Seattle, Fred Hutch is an independent, nonprofit organization and the only National Cancer Institute-designated cancer center in Washington. We have earned a global reputation for our track record of discoveries in cancer, infectious disease and basic research, including important advances in bone marrow transplantation, immunotherapy, HIV/AIDS prevention and COVID-19 vaccines. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services and has network affiliations with hospitals in four states. Fred Hutch also serves as UW Medicine’s cancer program.
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