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所在平台: Udemy |
课程主页: https://www.udemy.com/course/testing-quality-engineering-gen-ai-examples-gpt-bard/
课程评论：没有评论
课程名称：加速软件工程：Chat GPT与AI代理 课程概述：本课程旨在为软件质量工程师提供一个入门指导，帮助他们利用生成式AI的力量来提升测试、自动化和生产力。学习者将了解如何应用生成式AI技术自动生成测试用例、模拟用户行为、创建用户故事、编写更高质量的代码、快速采纳新框架，以及生成测试数据。课程将重点讲解如何使用AI改善软件质量和提高生产力，而不是专注于基础的AI算法和模型。 课程主题： 1. 生成式AI概述：介绍生成式AI及其在软件测试和质量保证中的应用。 2. 自动化测试生成：学习如何使用生成式AI自动生成多种测试用例，以减少人工工作并增加测试覆盖率。 3. Chat GPT和Google Bard的API访问：了解如何使用自定义消费者调用Bard和GPT。 4. 自动化用户故事创建：掌握生成式AI如何生成用户故事，以简化需求收集和软件开发过程。 5. 测试数据创建：学习如何通过生成式AI生成测试数据，确保全面有效的测试，同时节省时间和精力。 6. 代码调查：探索生成式AI如何帮助调查复杂代码，识别潜在问题，以及理解代码依赖关系。 7. 代码解释：了解生成式AI如何解释代码行为，使得复杂代码更加易于理解，从而提高代码质量。 8. 提升生产力：理解如何将这些生成式AI技术集成到现有工作流程中，以提升生产力、改善软件质量并加快交付时间。 9. [实践] 了解如何在云端使用AI创建性能测试框架与CI/CD。 10. [实践] 创建Java和RESTAssured的API测试框架。 11. 代码质量验证框架的Java实现。 12. 介绍CHATGPT与GOOGLE BARD的差异。 13. Google Cloud AI解决方案与模型训练 - Vertex AI。 14. AI驱动的浏览器自动化 - 掌握复杂AI操作以实现无缝智能的浏览器自动化。 15. 自学习AI代理 - 开发能够自我改进、持续评估和自主决策的自适应AI代理。 16. 使代理与MSFT Autogen进行沟通并解决问题的代理协作框架。 本课程为软件质量工程师提供了生成式AI的实用知识，帮助他们在实际工作中提高工作效率和软件质量。
This introductory course is designed specifically for Software Quality Engineers interested in leveraging the power of Generative AI to enhance their testing, automation, and productivity.Throughout the course, participants will learn how to apply Generative AI techniques to automate the generation of test cases, simulate user behavior, create user stories, write better code, rapid start adoption of a new framework and generate test data. The course will provide a practical understanding of how AI can be used to improve software quality and boost productivity, rather than focusing on the underlying AI algorithms and models.Topics:Understanding Generative AI: An overview of Generative AI and its applications in software testing and quality assurance.Automated Test Generation: Learn how to use Generative AI to automatically generate a variety of test cases, reducing manual effort and increasing test coverage.API Access for Chat GPT and Google Bard: Understand how to call Bard and GPT with the help of customer made consumersAutomated User Story Creation: Understand how Generative AI can be used to generate user stories, helping to streamline the requirements gathering and software development process.Test Data Creation: Learn how Generative AI can be used to generate test data, ensuring comprehensive and effective testing while saving time and effort.Code Investigation: Discover how Generative AI can assist in investigating complex code, identifying potential issues, and understanding code dependencies.Code Explanation: Learn how Generative AI can be used to explain code behavior, making it easier to understand complex code and improve code quality.Boosting Productivity: Understand how these Generative AI techniques can be integrated into your existing workflows to boost productivity, improve software quality, and accelerate delivery times.[Practical] See how to create a Performance testing Framework with CI/CD on cloud with AI[Practical] Create an API Testing Framework with Java and RESTAssured with AI[Practical] Code Quality Validation Framework for JavaSee differences between CHATGPT and GOOGLE BARDGoogle Cloud AI solution with model training - Vertex AI AI-Powered Browser Automation - Master sophisticated AI operators for seamless, intelligent browser automation. Self-Learning AI Agents - Develop adaptive AI agents capable of self-improvement, continuous evaluation, and autonomous decision-making.Make agents communicate and solve issues with MSFT Autogen. An agent collaboration framework
