Playwright Automation with Python, Pytest, AI & Jenkins
This course is a comprehensive, end-to-end automation testing program designed to take you from absolute basics to advanced, enterprise-level automation frameworks using Playwright with Python . You will begin by learning Python from scratch , focusing specifically on concepts required for automation testing such as variables, loops, functions, object-oriented programming, and exception handling. This ensures even beginners can confidently follow along without prior programming experience. Next, you will explore Playwright in depth , starting with its architecture and understanding how browsers, contexts, and pages work together. You will learn how to write reliable and stable automation tests using modern locators, smart assertions, and Playwright’s built-in auto-waiting mechanisms. The course covers real-world scenarios such as handling frames, multiple windows, alerts, file uploads, downloads, authentication. The course then dives deep into Pytest , where you will master fixtures, markers, parametrization, parallel execution, test configuration, and reporting. You will learn how to design scalable and maintainable automation frameworks by following industry best practices like the Page Object Model and reusable utilities. To future-proof your automation skills, this course introduces AI concepts in test automation , including Playwright MCP , intelligent test execution strategies, and how AI can enhance modern testing workflows. Finally, you will learn how to integrate your automation framework with Jenkins , covering CI/CD pipelines, scheduled executions, test reporting, and real-world enterprise automation strategies. By the end of this course, you will have hands-on experience building production-ready automation frameworks and the confidence to apply these skills in real projects, interviews, and professional environments. Who this course is for: Manual testers transitioning to automation Automation testers upgrading to Playwright QA engineers looking to learn Python-based automation Testers interested in AI-driven testing approaches Professionals preparing for real-world automation projects Anyone aiming to build modern, CI/CD-ready test frameworks
What you'll learn
- Analyze AI workload requirements and select appropriate Azure resources and architectures for modern AI solutions.
- Practice designing Azure AI solutions based on scalability, performance, security, reliability, and operational requirements.
- Evaluate machine learning assets, experiments, training workflows, datasets, and model development strategies.
- Practice working with foundation models, large language models, prompt engineering, embeddings, and retrieval architectures.
- Analyze retrieval-augmented generation scenarios and select appropriate grounding, search, and context strategies.
- Evaluate computer vision, OCR, and intelligent document processing solutions for real-world AI workloads.
- Practice selecting language understanding, speech processing, and conversational AI technologies for different scenarios.
- Analyze retrieval-augmented generation scenarios and select appropriate grounding, search, and context strategies.
- Evaluate computer vision, OCR, and intelligent document processing solutions for real-world AI workloads.
- Practice selecting language understanding, speech processing, and conversational AI technologies for different scenarios.
- Analyze production AI environments involving monitoring, model evaluation, governance, optimization, and continuous improvement.
- Identify appropriate approaches for improving AI model accuracy, performance, scalability, reliability, and operational efficiency.
- Practice making technical AI decisions based on security, responsible AI, governance, cost, and maintainability requirements.
- Strengthen your ability to analyze scenario-based questions covering Azure AI, machine learning, generative AI, vision, language, and operations.
- Prepare for the AI-500 certification exam by mastering Azure AI architecture, machine learning, generative AI, vision, language, and AI operations.
Current deal
Free