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所在平台: Udemy |
课程主页: https://www.udemy.com/course/istqb-ai-tester/
课程评论：没有评论
这门 Coursera 课程“ISTQB 认证 AI 测试员完整培训与考试准备”旨在帮助学员通过 ISTQB AI 测试认证考试，并为在人工智能和机器学习驱动的系统中进行测试打下坚实的基础。 **课程核心内容：** * **AI 和机器学习基础：** 介绍 AI 和 ML 的基本概念，并重点讲解其在测试领域的应用。 * **数据质量与 AI 系统评估：** 学习如何评估数据质量、AI 系统的功能性能以及神经网络的行为。 * **AI 特有质量特征测试：** 掌握测试 AI 系统特有的质量属性，如偏见（bias）、透明度（transparency）和鲁棒性（robustness）。 * **AI 测试环境与技术：** 学习创建有效 AI 系统测试环境的高级技术和工具。 * **AI 赋能传统测试：** 探讨如何利用 AI 技术来改进传统的测试流程，包括缺陷分析和回归测试套件优化。 **重点和特点：** * **对标 ISTQB 教学大纲：** 课程内容严格按照 ISTQB AI 测试认证的教学大纲设计，确保国际一致性。 * **理论知识与考试导向：** 课程侧重于理论概念的学习，以帮助学员顺利通过认证考试。 * **结构化学习路径：** 各章节内容循序渐进，提供深度学习体验。 * **强化学习：** 包含与课程内容对齐的测验，以检查理解程度并提升学习信心 (请注意：此课程侧重理论，动手实践内容较少，如需动手练习可参考其他课程)。 **学习成果：** 完成本课程后，学员将具备应对 AI 系统测试挑战的知识和技能，并能自信地获得 ISTQB AI 测试认证。
This comprehensive course is aligned with the ISTQB syllabus for AI Testing certification, providing you with the foundational knowledge and practical skills required to achieve ISTQB Certified Tester status in AI Testing. Designed to ensure international consistency, the syllabus offers a structured approach to learning AI-based system testing, focusing on the unique challenges posed by artificial intelligence and machine learning technologies.The course content is tailored to cover the key concepts, terminology, and best practices in AI testing, with detailed instructional objectives and hands-on learning outcomes for each knowledge area. Participants will gain insights into how AI systems function, the intricacies of machine learning models, and effective testing techniques to ensure quality, performance, and reliability in AI-driven systems.Please note: This course is specifically designed to help learners pass the ISTQB AI Tester certification exam, focusing on theoretical concepts. It includes quizzes that are aligned with the content to check your understanding and enhance your learning, giving you the confidence of a thorough grasp of the material. For those seeking more practical applications of AI in testing, we recommend exploring our other courses with hands-on exercisesThis structured format ensures a deep dive into both theoretical concepts and practical applications of AI testing. Each chapter builds progressively to provide a holistic understanding of AI systems, their quality attributes, and the most effective testing methodologies.What You'll Learn:The basic concepts of AI and machine learning, with a special focus on testing techniques.How to evaluate data quality, functional performance, and neural network behavior.Practical approaches to testing AI-specific quality characteristics like bias, transparency, and robustness.Advanced techniques and tools for creating effective test environments for AI systems.Leveraging AI technologies for enhancing traditional testing processes, including defect analysis and regression suite optimization.By the end of this course, you'll have the skills and knowledge required to confidently tackle AI system testing challenges and earn your ISTQB Certified Tester certification in AI Testing.
