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所在平台: Udemy |
课程主页: https://www.udemy.com/course/l6-rest-api-performance-testing-github-copilot-chatgpt-ai-assistant/
课程评论：没有评论
课程名称：API 性能测试：使用 K6、GitHub Copilot 和 ChatGPT 概述：本课程旨在帮助您掌握 REST API 性能测试的前沿知识，使用 Grafana K6 进行测试，并结合 AI 助手的支持。课程覆盖从 K6 基础到高级测试技术的各个方面，包括如何有效利用 GitHub Copilot 和 ChatGPT 来提高您的自动化测试技能。课程开始时欢迎您参与，并简要介绍 AI 和大型语言模型，接着梳理课程结构和学习要点，帮助您规划学习路径。 在课程中，您将探讨 AI 助手在软件工程和测试中的集成及其能力。掌握基础知识后，您将了解源代码结构，为全面性能测试奠定基础。随着课程深入，您将学习 K6 的性能测试，从安装到首次脚本执行，每一步都在 AI 帮助下进行。 课程扩展了 K6 性能测试的关键工具和概念，包括 Docker，测试软件，以及使用 Postman 进行 API 交互。您将学习如何在有无 AI 支持的情况下导航 HTTP 请求、理解 K6 检查和指标，以及如何可视化 K6 结果进行深入分析。通过学习阈值、标签和自定义标签，您将进一步提升技能，而 AI 也在其中提供重要支持。 课程还将重点转向实践应用，指导您调试 K6 脚本、添加测试数据、掌握数据关联，所有操作都得益于 AI 助手的支持。高级主题包括处理不安全请求、管理 HTTP 重定向、执行并行请求以及定义自定义指标，每个模块都展示了 AI 在简化复杂任务方面的力量。 同时，课程讨论了团队管理、测试生命周期管理和环境变量，巩固了您对性能测试的全面理解。课程主要使用 GitHub Copilot 作为 AI 助手，但也将展示如何使用 ChatGPT 与 K6 相结合，实现早期课程学习的实际应用，并呈现有关命令行使用、测试选项、HTTP 请求、检查、阈值等的高级策略，这一切都通过 AI 助手的视角进行了探讨。 此课程将为您提供 API 性能测试的技术技能，同时赋予您运用 AI 工具的创新策略，以提升测试效率和效果。 为什么选择本课程？ - 拥抱AI集成的未来软件测试。 - 精通 Grafana K6，API 性能测试的领先工具。 - 通过实践项目和示例获得动手学习机会。 - 在 API 测试中借助 AI 洞察增强问题解决能力。 - 通过学习将 AI 助手集成到测试中，跟上行业趋势。 您将学习： - 设置和配置 Grafana K6 进行 API 测试。 - 有效使用 GitHub Copilot 和 ChatGPT 编写和优化测试脚本。 - 多种性能测试和结果分析技术。 - 自定义测试环境。 - 利用 AI 提升测试准确性和效率。 学生要求： - 对 JavaScript 和 REST API 概念有基本了解。 - 对 AI 及其在软件测试中的应用保持好奇。 - 有兴趣通过严格测试提升软件性能。 本课程适合： - 希望提升 API 测试高级技能的开发人员和工程师。 - 希望将 AI 纳入工作流程的 QA 和测试专业人士。 - 对 AI 和 REST API 性能测试之间的协同作用感兴趣的技术爱好者。
Explore the frontier of REST API performance testing in this course, designed to empower you with the knowledge to use Grafana K6 for REST API testing enriched with the support of AI assistants. This course covers everything from the basics of K6 to advanced testing techniques, including how to effectively use GitHub Copilot and ChatGPT to improve your automated testing skills with Grafana K6.Start with a warm welcome and an intriguing introduction to AI and Large Language Models. Delve into the course structure and absorb the crucial points guiding your learning path. Your adventure gets more interesting as you explore the integration of AI assistants in software engineering and testing using the capabilities of ChatGPT and GitHub Copilot. With the basics in hand, you'll examine the source code structure, laying the groundwork for comprehensive performance testing. As you progress, the course introduces you to performance testing with K6, starting with installation and your first script execution. Each step, from executing commands on the K6 Command Line with test options flags, is enhanced by AI assistance. The curriculum expands to cover essential tools and concepts like Docker, using software for testing, and using Postman for API interactions. You'll navigate HTTP requests with and without AI support, understand K6 checks and metrics, and learn how to visualize K6 results for insightful analysis. Further refinement of your skills is achieved through lessons on thresholds, tags, and custom tags, each benefiting from AI integration. The course then shifts focus to practical application, guiding you through debugging K6 scripts, adding test data, and mastering data correlation-all with the invaluable support of AI assistants. Advanced topics introduce handling insecure requests, managing HTTP redirects, executing parallel requests, and defining custom metrics. Each module showcases the power of AI to simplify complex tasks. Groups, test lifecycle management, and environmental variables are also discussed, cementing your comprehensive understanding of performance testing. While most of the courses use GitHub Copilot as AI assistance, you will also see how to use ChatGPT with K6, offering a practical application of earlier lessons and presenting advanced strategies in command line usage, test options, HTTP requests, checks, thresholds, and more, all through the lens of AI assistance.This course equips you with the technical skills for API performance testing and empowers you with innovative strategies to harness AI tools for enhanced testing efficiency and effectiveness.Why Buy This Course?Embrace the future of software testing with AI integration.Master Grafana K6, a leading tool in API performance testing.Benefit from hands-on learning with practical projects and examples.Enhance your problem-solving skills in API testing with AI insights.Keep up with industry trends by learning to integrate AI assistants in testing.What You'll Learn:Setting up and configuring Grafana K6 for API testing.Effective use of GitHub Copilot and ChatGPT for writing and optimizing test scripts.Many techniques for performance testing and result analysis.Customizing test environments.Utilizing AI for creating and improving test accuracy and efficiency.Student Requirements:A basic understanding of JavaScript and REST API concepts.Curiosity about AI and its applications in software testing.Interest in enhancing software performance through rigorous testing.Who is This Course For:Developers and Engineers seeking advanced skills in API testing.QA and Testing Professionals want to incorporate AI into their workflows.Tech enthusiasts who are curious about the synergy between AI and REST API performance testing.
