This beginner-friendly course explores how generative AI is transforming software maintenance and support across key areas like bug fixing, repetitive task automation, and log analysis. Learn to compare traditional and AI-driven support models, understand maintenance types, and apply GenAI tools for enhanced efficiency and security. Discover how AI automates issue resolution, supports pattern recognition, and improves knowledge management through hands-on demos and real-world use cases.


您将学到什么
Automate software maintenance tasks using GenAI tools
Fix bugs and security issues more efficiently with AI
Analyze logs and recognize patterns for faster support
Enhance system knowledge management and reliability through GenAI
您将获得的技能
要了解的详细信息

添加到您的领英档案
August 2025
4 项作业
了解顶级公司的员工如何掌握热门技能

积累特定领域的专业知识
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书

该课程共有1个模块
Learn how Generative AI enhances software maintenance and support by automating repetitive tasks, fixing security issues, and streamlining log analysis. Understand key maintenance types, compare traditional vs. AI-driven approaches, and explore tools that boost efficiency. Gain hands-on experience with real-world demos and discover how GenAI improves knowledge management and long-term software reliability.
涵盖的内容
12个视频1篇阅读材料4个作业1个插件
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University of Michigan
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常见问题
This course teaches how to apply Generative AI to automate software maintenance tasks, fix bugs, analyze logs, and manage support workflows using tools like GitHub Copilot and Notion AI.
It’s ideal for developers, software engineers, QA professionals, and support teams looking to integrate AI into their maintenance and support processes.
No. The course is beginner-friendly. A basic understanding of software maintenance or support practices is recommended.
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