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主题必需的
语言必需的
在整个课程（说明和评估）中使用的语言。
了解产品必需的
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课程长度必需的
技能必需的
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教师必需的
“debugging” 的结果
状态：免费试用您将获得的技能: Debugging, Technical Communication, Network Troubleshooting, Performance Tuning, Problem Management, Technical Documentation, Technical Support, System Monitoring, System Support, Incident Management, Application Performance Management, Continuous Integration, Scripting
状态：免费试用University of Michigan
您将获得的技能: NumPy, Debugging, Pandas (Python Package), Statistics, Data Analysis, Descriptive Statistics, Data-oriented programming, Data Processing, Maintainability, Numerical Analysis, Critical Thinking, Technical Support
状态：免费试用University of Michigan
您将获得的技能: Debugging, Unit Testing, Integrated Development Environments, Development Testing, Technical Communication, Python Programming, File Management
状态：免费试用Duke University
您将获得的技能: 调试, 命令行界面, 模拟, Algorithm, 计算机编程, 计划发展, 开发环境, 软件测试, 伪代码, C（编程语言）
状态：免费试用Microsoft
您将获得的技能: CI/CD, GitHub, C# (Programming Language), HTML and CSS, Load Balancing, Continuous Integration, Git (Version Control System), Role-Based Access Control (RBAC), Scalability, Object Oriented Programming (OOP), Authentications, ASP.NET, Full-Stack Web Development, Web Development, Debugging, SQL, Application Deployment, Microsoft Copilot, .NET Framework, Graph Theory
状态：免费试用University of Michigan
您将获得的技能: Debugging, Data-oriented programming, Python Programming, Maintainability, Data Manipulation, Data Analysis, Technical Support
是什么让您今天来到 Coursera？
状态：新状态：免费试用Vanderbilt University
您将获得的技能: Prompt Engineering, ChatGPT, Prompt Patterns, Generative AI Agents, LLM Application, Productivity, OpenAI, Java, Agentic systems, Generative AI, Artificial Intelligence, Large Language Modeling, JUnit, Artificial Intelligence and Machine Learning (AI/ML), Creative Thinking, Creative Problem-Solving, Document Management, Secure Coding, Business Logic, Problem Solving
状态：免费试用University of Colorado Boulder
您将获得的技能: 调试, 故障分析, 模拟和模拟软件, 技术交流, 嵌入式系统, 工程实践, 系统工程, 工程管理
您将获得的技能: Cloud-Native Computing, Cloud Applications, Cloud Development, Application Deployment, Google Cloud Platform, Infrastructure as Code (IaC), Containerization, Docker (Software), Application Performance Management, Platform As A Service (PaaS), Kubernetes, Cloud Computing, Continuous Deployment, Serverless Computing, Performance Tuning, Debugging
状态：免费试用DeepLearning.AI
您将获得的技能: 线性代数, 概率与统计, 机器学习, A/B 测试, Machine Learning 方法, 数学建模, 数值分析, 数据转换, 统计推理, 抽样（统计）, NumPy, 贝叶斯统计, 概率, 降维, 应用数学, 微积分, 统计假设检验, 描述性统计, 概率分布, 统计分析
状态：免费试用Duke University
您将获得的技能: Algorithm, 数据分析, 数据结构, Java, 调试, 软件设计, 层叠样式表（CSS）, 密码学, 网页设计, 用户界面（UI）, Javascript, Html 和 Css, 计算机编程, 网络开发, Java 编程, 编程原则, 计算思维, 软件工程, 面向对象编程（OOP）, 互动设计
您将获得的技能: Cloud-Native Computing, Application Deployment, Cloud Applications, Infrastructure as Code (IaC), Google Cloud Platform, Application Performance Management, Docker (Software), Containerization, Performance Tuning, Continuous Deployment, Debugging, Node.JS
与 debugging 相关的搜索
总之，以下是 10 最受欢迎的 debugging 课程
- Troubleshooting and Debugging Techniques: Google
- Data-Oriented Python Programming and Debugging: University of Michigan
- Debugging: Hunting and Squashing Bugs: University of Michigan
- 用 C 语言编写、运行和修复代码: Duke University
- Microsoft Full-Stack Developer: Microsoft
- Python Debugging: A Systematic Approach: University of Michigan
- AI Agents in Java with Generative AI: Vanderbilt University
- 嵌入式系统建模与调试: University of Colorado Boulder
- App Deployment, Debugging, and Performance - 日本語版: Google Cloud
- 机器学习和数据科学数学: DeepLearning.AI
