Masterclass Certificate in Industrial Automation QA for Experts
-- ViewingNowThe Masterclass Certificate in Industrial Automation QA for Experts is a comprehensive course that equips learners with essential skills for career advancement in the rapidly evolving field of industrial automation. This course is designed for professionals who are looking to enhance their expertise in Quality Assurance and Industrial Automation.
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Here are the essential units for a Masterclass Certificate in Industrial Automation QA for Experts:
⢠Fundamentals of Industrial Automation QA: An overview of the key concepts, principles, and best practices in industrial automation quality assurance, including testing strategies, automation tools, and industry standards.
⢠Automation Test Planning and Design: Techniques for planning and designing effective automation tests, including test cases, scripts, and data sets.
⢠Industrial Automation Test Automation Frameworks: An in-depth look at the most popular test automation frameworks in industrial automation, including their strengths, weaknesses, and use cases.
⢠Programming for Automation Testers: A review of the programming languages and skills required for automation testing, including Python, Java, and scripting.
⢠Continuous Integration and Continuous Deployment (CI/CD): An exploration of CI/CD pipelines in industrial automation, including how to create, manage, and maintain them.
⢠Test Data Management: Best practices for managing test data, including data generation, anonymization, and storage.
⢠Industrial Automation Test Automation Tools: Hands-on experience with the most popular test automation tools in industrial automation, including Selenium, Appium, and Ranorex.
⢠Performance Testing: Techniques for measuring and optimizing the performance of industrial automation systems, including load testing, stress testing, and capacity planning.
⢠Security Testing: Best practices for ensuring the security and integrity of industrial automation systems, including penetration testing, vulnerability assessment, and threat modeling.
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