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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-powered-api-automation-with-python-and-jira-integration/
课程评论：没有评论
### 课程名称：使用AI自动化QA测试用例生成器和执行器 **课程概述：** 本课程是一门实践性课程，将生成式AI（GenAI）、Langchain和Python相结合，**全面自动化API测试用例的生成和执行**。在当今快速的开发周期中，手动编写测试用例既耗时又容易出错。本课程将介绍一种现代化解决方案：**利用Langchain通过Google Gemini自动从JIRA需求生成结构化的API测试用例，使用pytest动态执行这些测试用例，并生成丰富的HTML测试报告**。 您将学习如何连接JIRA并获取需求详情，了解如何利用AI驱动的提示工程将这些详情转化为可执行的测试用例。您还将构建一个强大的、基于pytest的测试框架，该框架支持动态测试执行、自定义验证和专业级报告。 无论您是QA工程师、SDET还是对实际AI集成感兴趣的开发人员，本课程都将为您提供一个可适应和可扩展的真实项目框架。课程涵盖了从**CI/CD就绪的自动化工作流到提示调优和错误处理**的方方面面。 课程结束时，您将拥有一个**功能齐全的AI集成API测试框架**，并掌握将其扩展到任何API优先项目的技能。 **您将学到的技能：** 1. Python与JIRA集成 2. GenAI与Pytest和Langchain集成 3. AI驱动的提示工程 4. Pytest-HTML报告
Welcome to "Automated QA Test Case Generator and Executer using AI" - a hands-on course that combines the power of GenAI, Langchain, and Python to fully automate the generation and execution of API test cases.In today's fast-paced development cycles, writing manual test cases is time-consuming and error-prone. This course introduces a modern solution: using Google Gemini via Langchain to auto-generate structured API test cases from JIRA stories, execute them dynamically with pytest, and produce rich HTML test reports.You'll start by learning how to connect to JIRA and fetch story details, then see how those details are transformed into executable test cases using AI-powered prompt engineering. You'll also build a powerful pytest-based framework that supports dynamic test execution, custom validation, and professional-grade reporting.Whether you're a QA engineer, SDET, or developer interested in practical AI integration, this course gives you a real-world project framework you can adapt and scale. From CI/CD-ready automation workflows to prompt tuning and error handling, everything is covered.By the end of this course, you'll have a fully working AI-integrated API testing framework - and the skills to extend it for any API-first project.Skills you will learn:1) JIRA Integration with Python2) GenAI Integration with Pytest and Langchain 3) AI-powered prompt engineering4) Pytest-HTML Reporting
