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所在平台: Udemy |
课程主页: https://www.udemy.com/course/next-gen-qa-integrating-generative-ai-in-software-testing/
课程评论：没有评论
**课程名称：** GenAI & Prompt Engg for QA, Automation & Performance Testing **课程概述：** 本课程由 "Isha Training Solutions" 提供，是一门全面的实践课程，旨在帮助自动化测试工程师、性能测试工程师、软件测试人员、QA 专业人士以及开发人员掌握在现代测试流程中运用生成式人工智能（GenAI）的知识和技能。 课程内容涵盖人工智能、大型语言模型（LLMs）和提示工程（Prompt Engineering）的基础知识。学员将学习如何设计有效的提示词，理解 AI 模型行为，并将这些工具应用于软件测试生命周期的各个阶段，包括需求分析、测试计划、测试执行和报告。 本课程特别强调实际应用案例、安全注意事项和负责任的 AI 使用。通过生动的讲解和真实的示例，学员将能够自信地将 ChatGPT 和 JMeter 等 AI 工具集成到日常测试工作中，从而提高准确性、效率和洞察力。 此外，课程还将深入探讨关键的 AI 参数，如 Tokens、Temperature 和 Context Length，以及如何调整这些参数以影响测试结果。课程还会介绍 few-shot 和 zero-shot prompting 等技术，以实现更精确和更具上下文感知能力的测试用例生成。 无论您的目标是提高测试覆盖率还是减轻手动工作量，本课程都将为您提供利用尖端 AI 能力将 QA 实践提升到新水平的工具和技术。 **请注意：** 本课程是直播课程的录制视频，您会听到学生之间的互动。我们建议您先观看免费预览视频，如果觉得内容有价值，再决定是否投入时间和资金。
Welcome to "Isha Training Solutions"** Please note: This course is a recording of live sessions, so you will hear student interactions throughout. We recommend watching the free preview videos first. If you like the content, you can then decide whether it's worth your time and investment.**'GenAI & Prompt Engg for QA, Automation & Performance Testing' is a comprehensive, hands-on course designed to equip Automation Testers, Performance testers, software testers, QA professionals, and developers with the knowledge and skills to harness the power of Generative AI in modern testing workflows.Through engaging lectures and real-world examples, this course covers the foundations of artificial intelligence, large language models (LLMs), and prompt engineering. Participants will learn how to design effective prompts, understand AI model behavior, and apply these tools to various stages of the software testing lifecycle - from requirement analysis to test planning, execution, and reporting.With a strong emphasis on practical use cases, security considerations, and ethical AI usage, this course ensures participants are ready to confidently integrate AI tools like ChatGPT and JMeter into their daily testing activities for improved accuracy, efficiency, and insight.Students will also explore key AI parameters such as tokens, temperature, and context length, and how tuning them impacts results. The course highlights techniques like few-shot and zero-shot prompting, enabling more precise and context-aware test generation. Whether you're aiming to improve test coverage or reduce manual workload, this course provides the tools and techniques to take your QA practices to the next level using cutting-edge AI capabilities.
