Global Certificate in AI-Based Testing for Cloud Environments

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The Global Certificate in AI-Based Testing for Cloud Environments is a comprehensive course designed to equip learners with essential skills for career advancement in AI and cloud computing. This course is crucial in today's digital age, where businesses are rapidly adopting cloud technologies and AI-based solutions.

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The course covers key topics such as AI-based test automation, cloud testing, and DevOps. Learners will gain hands-on experience with the latest AI tools and technologies, enabling them to effectively test and deploy applications in cloud environments. According to a recent report by Gartner, the worldwide public cloud services market is projected to grow by 23.1% in 2021, reaching a total revenue of $332.3 billion. This surge in cloud adoption has led to a growing demand for professionals who possess the skills to test and deploy applications in cloud environments. By completing this course, learners will not only gain the skills and knowledge necessary to succeed in this high-growth field but also demonstrate their commitment to staying up-to-date with the latest industry trends and best practices.

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โ€ข Fundamentals of AI and Machine Learning: Understanding the basics of AI and machine learning algorithms, their differences, and applications in software testing.
โ€ข Cloud Computing Concepts: Exploring cloud computing models, services, and their security considerations.
โ€ข AI-Based Testing Techniques: Learning AI-driven testing approaches, such as predictive analytics, natural language processing, and reinforcement learning, and their benefits in cloud environments.
โ€ข Test Automation Frameworks: Examining popular test automation frameworks, such as Selenium, Appium, and TestComplete, and their integration with AI-driven testing tools.
โ€ข DevOps and Continuous Testing: Understanding the role of AI-powered testing in DevOps and continuous testing pipelines.
โ€ข Performance and Security Testing: Delving into AI-driven performance and security testing in cloud environments.
โ€ข Data Analysis for AI-Based Testing: Investigating data analysis techniques for AI-driven testing, including data visualization and statistical methods.
โ€ข AI-Based Testing Best Practices: Adopting best practices in AI-driven testing, including test design, data management, and maintenance.
โ€ข Industry Trends and Future Directions: Keeping up-to-date with the latest industry trends and future directions in AI-based testing for cloud environments.

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
GLOBAL CERTIFICATE IN AI-BASED TESTING FOR CLOUD ENVIRONMENTS
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
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