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所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-generative-ai-for-software-testing-manual-to-auto/
课程评论：没有评论
课程名称：掌握生成性人工智能在软件测试中的应用：手动到自动 课程概述： 生成性人工智能正在改变软件测试领域，它能够动态生成测试用例、优化测试执行并提高测试覆盖率。OpenAI的API和GPT4All等工具帮助测试人员减少手动工作，快速发现边界情况，并增强手动与自动测试工作流程。 为什么选择Python、Behave BDD和AI驱动工具？ - **Python**：一种多功能、易于上手的编程语言，广泛用于自动化。 - **Behave BDD**：基于Python的行为驱动开发工具，采用与Cucumber BDD相同的Gherkin语法，简化测试用例创建，使所有利益相关者的场景更加清晰。 - **AI工具**：利用OpenAI的API（如ChatGPT）和离线工具（如GPT4All）动态创建、优化和完善测试场景，减少手动工作，提高测试覆盖率。 课程目标： 本课程适合手动测试人员和希望提升技能的自动化测试人员，内容实用且易于跟随。无论您是自动化新手还是有经验的测试人员，都能获得使用AI驱动的测试的实践经验。 您将学习的内容： - 利用生成性AI生成测试用例和测试计划。 - 掌握Python基础：变量、数据结构、函数和文件处理。 - 使用Behave BDD简化测试要求，结合Playwright进行UI测试和API测试的自动化。 - 利用OpenAI API分析和优化代码解决方案。 - 学习如何在Jenkins CI管道中实现持续测试。 附加特点： - 实际项目实践，如自动化“联系我们”页面、登录页面和目标跟踪API的测试。 - 提供逐步指导的录音和可下载的代码示例。 - 动态生成和优化测试脚本，生成详细的测试报告。 准备好掌握AI驱动的软件测试了吗？完成本课程后，您将具备将生成性AI整合到手动与自动测试工作流程中的能力，使用Python、Behave BDD、Playwright和Jenkins CI建立可扩展的自动化框架，利用AI工具有效优化测试流程。 让我们一起通过生成性AI来革新软件测试吧！
Why Generative AI in Software Testing?Generative AI is transforming the software testing landscape by enabling dynamic test case generation, optimizing test execution, and improving coverage. Tools like OpenAI's API and GPT4All empower testers to:Reduce manual effort.Uncover edge cases faster.Enhance both manual and automated testing workflows.Why Python, Behave BDD, and AI-Driven Tools?Python: A versatile, beginner-friendly programming language widely used for automation.Behave BDD: A Python-based Behavior-Driven Development tool that uses the same Gherkin syntax as Cucumber BDD, simplifying test case creation and ensuring scenarios are clear for all stakeholders.AI Tools: Leverage OpenAI's API (ChatGPT) and offline tools like GPT4All to dynamically create, optimize, and refine test scenarios, reducing manual effort and improving test coverage.Together, these tools allow testers to:Automate UI and API tests with AI, Python, Behave BDD, and Playwright.Dynamically generate and refine test cases using AI tools like ChatGPT and OpenAI APIs.Integrate into Jenkins CI pipelines for scalability and continuous test execution.Why This Course?This course is practical, easy-to-follow, and designed for manual testers and automation testers looking to upgrade their skills. Whether you're new to automation or experienced in testing, you'll gain hands-on experience with AI-powered testing.(Note: To fully implement AI features programmatically, an OpenAI API key is recommended. OpenAI provides free credits for new accounts, but existing users may need to add minimal funds (~$5). Watching specific lectures without practical implementation is also an option.)The course includes Before and After code examples, attached to the relevant lecture resources, to help you understand concepts step-by-step and implement them seamlessly.What Will You Learn?Generative AI for Test Case CreationUse ChatGPT (free or paid version) to generate test plans and test cases outside of code.Use OpenAI APIs to dynamically generate test cases and suggest step definition code within the framework (API key and minimal credits required for hands-on implementation).Explore tools like GPT4All for offline AI-powered testing.Quickly create optimized, AI-powered test scenarios.Mastering Python Fundamentals for TestingPython basics: Variables, data structures, functions, and file handling.Work with JSON data and external libraries like Requests for API testing.Building AI-Enhanced Automation FrameworksBehavior-Driven Development (BDD): Simplify test requirements using Gherkin and Behave.Automate UI Testing with Playwright and Behave (BDD).Automate API Testing using Python and Behave (BDD).Advanced Features for AutomationUse Generative AI to refine BDD scenarios and step definitions.Leverage OpenAI API to analyze step definition files and recommend optimized code solutions.Implement tags, custom runners, and generate detailed test reports with Allure.CI/CD Integration: Learn how to run tests continuously using Jenkins CI pipelines.Data Privacy and Security in AI TestingProtect sensitive data when using AI tools like OpenAI APIs.Follow best practices for anonymizing data and managing credentials securely.Additional FeaturesReal-World Projects: Automate tests for a Contact Us Page, Login Page, and a Goal Tracker API.Practical Exercises: Step-by-step recordings with before-and-after downloadable code examples.AI-Powered Optimizations: Generate, analyze, and refine test scripts dynamically.Reporting: Generate detailed reports and attach screenshots for better test visibility.Ready to Master AI-Driven Software Testing?By the end of this course, you'll have the skills to:Integrate Generative AI into manual and automated testing workflows.Build scalable and dynamic automation frameworks using Python, Behave BDD, Playwright, and Jenkins CI.Leverage AI tools to optimize and streamline testing processes effectively.Let's revolutionize software testing with Generative AI together!
