本课程由Andrew Knight讲授，教您将Playwright自动化与AI驱动测试结合，构建自愈型工作流，快速降低脚本维护成本并消除测试不稳定性，实现高可靠CI/CD交付。
原始标题：Playwright with AI: Agents, Context, and Test Automation Patterns
本课程由资深讲师 Andrew Knight 倾力打造，专为 QA 测试工程师与 Web 开发人员设计，核心教授如何将 Playwright 自动化框架与 AI 驱动测试深度结合；学员将攻克传统测试容易出错、维护成本高的痛点，掌握 AI 赋能的测试生成、**自愈型工作流（Self-Healing）**及预测性测试选择，并能将其无缝嵌入 CI/CD 流水线，从而大幅降低脚本维护时间、彻底消除测试不稳定性，实现高可靠性的持续交付。
Released 7/2026
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 3h 58m | Size: 484.33 MB
Learn how to combine Playwright automation with AI-driven testing to build self-healing workflows that improve reliability, reduce maintenance, and accelerate CI/CD delivery.
Course details
Modern test automation demands speed, reliability, and the ability to adapt as applications evolve. This course is designed for QA test automation engineers who are responsible for end-to-end, cross-browser automation in CI/CD environments, as well as web developers who want to automate tests to protect their code. Join instructor Andrew Knight as he shows you how to build stable Playwright tests that run consistently across browsers and environments, then enhance your workflows with AI-powered test generation and self-healing techniques that reduce flakiness and maintenance time. Along the way, you’ll also learn how to optimize test execution, apply predictive test selection, and integrate Playwright into CI/CD pipelines for continuous testing and faster releases.
Skills covered
AI Agents, Continuous Integration and Continuous Delivery (CI/CD), Artificial Intelligence (AI), Test Automation
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