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AI for Efficient Programming: Harnessing the Power of LLMs · LearnSpace
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courseraПрограммирование

AI for Efficient Programming: Harnessing the Power of LLMs

Курс от Fred Hutchinson Cancer Center
Начальный≈ 12.6 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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.

Навыки, которые вы освоите

Responsible AILLM ApplicationLarge Language ModelingMaintainabilityAI literacyPrompt EngineeringDebuggingData ScienceGenerative AIData EthicsChatGPTBioinformaticsArtificial IntelligenceComputer Programming ToolsInformation Privacy

Программа курса

4 модулей · 47 учебных материалов

01Introduction; Ethics of Using AI13 материалов

Introduction

General Introduction and Course OverviewВидеоAbout the courseЧтениеAbout the AuthorsЧтениеIntroductionЧтение

Учитесь у экспертов

Elizabeth Humphries, PhD

Преподаватель курса

Candace Savonen, MS

Data Scientist

Ava Hoffman, PhD

Senior Staff Scientist

Carrie Wright, PhD

Senior Staff Scientist

AI for Efficient Programming: Harnessing the Power of LLMs
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Обучение на Coursera

≈ 12.6 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Узбекский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Нидерландский, Корейский, Немецкий, Русский, Тайский, Индонезийский, Шведский, Турецкий, Испанский, Хинди, Японский, Венгерский, Польский

Часть программы вашего университета
AI Code of EthicsВидео
Introduction Practice QuestionsЗадание
Introduction QuizЗадание
Introduction DiscussionОбсуждение

Ethics of Using AI

Ethics of Using AIЧтениеCombating Bias in LLMsВидеоEthics Practice QuestionsЗаданиеEthics QuizЗаданиеAI Ethics DiscussionОбсуждение
02Writing Code; Refactoring Code14 материалов

Writing Code

Writing Code IntroductionВидеоWriting CodeЧтениеWriting Code SummaryВидеоWriting Code Hands-on ActivityPLUGINWriting Code Practice QuestionsЗаданиеWriting Code QuizЗаданиеWriting Code DiscussionОбсуждение

Refactoring Code

Refactoring Code IntroductionВидеоRefactoring CodeЧтениеRefactoring Code SummaryВидеоRefactoring Code Hands-on ActivityPLUGINRefactoring Practice QuestionsЗаданиеRefactoring QuizЗаданиеRefactoring Code Discussion
03Annotating Your Code; Understanding Unfamiliar Code14 материалов

Annotating Your Code

Annotating Your Code IntroductionВидеоAnnotating Your CodeЧтениеAnnotating Your Code SummaryВидеоAnnotating Your Code Hands-on ActivityPLUGINAnnotating Practice QuestionsЗаданиеAnnotating QuizЗаданиеAnnotating Code DiscussionОбсуждение

Understanding Unfamiliar Code

Understanding Unfamiliar Code IntroductionВидеоUnderstanding Unfamiliar CodeЧтениеUnderstanding Unfamiliar Code SummaryВидеоUnderstanding Unfamiliar Code Hands-on ActivityPLUGINUnderstanding Unfamiliar Code Practice QuestionsЗаданиеUnderstanding Unfamiliar Code QuizЗадание
04AI for Bioinformatics6 материалов

AI for Bioinformatics

AI for BioinformaticsЧтениеAI for Bioinformatics SummaryВидеоBioinformatics Practice QuizЗаданиеAI for Bioinformatics DiscussionОбсуждение

Course References

Programming Languages and Cloud ComputingPLUGINReferencesPLUGIN
Обсуждение
Understanding Unfamiliar Code DiscussionОбсуждение