Professional Certificate in AI for Shift-Left Testing

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The Professional Certificate in AI for Shift-Left Testing is a comprehensive course designed to equip learners with essential skills for career advancement in AI-driven testing. This program emphasizes the importance of integrating AI technologies early in the software development process, a practice known as "shift-left testing.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

" In this age of digital transformation, there is a growing industry demand for professionals who can effectively leverage AI to improve software quality, reduce costs, and accelerate time-to-market. This course addresses this need by providing hands-on experience with cutting-edge AI tools and techniques, including machine learning, natural language processing, and computer vision. Upon completion, learners will be able to design and implement AI-powered testing strategies, automate test cases, and analyze test results using data-driven insights. These skills are highly valued in today's tech industry, making this course an excellent investment for those seeking to advance their careers in software testing, quality assurance, or software engineering.

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ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

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ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Introduction to AI & Machine Learning
โ€ข Understanding Shift-Left Testing
โ€ข AI in Shift-Left Testing: Opportunities & Challenges
โ€ข Machine Learning Algorithms for Test Automation
โ€ข Implementing AI-driven Test Case Generation
โ€ข Intelligent Test Orchestration & Analytics
โ€ข Continuous Testing in DevOps with AI
โ€ข AI-powered Test Data Management
โ€ข Ethical Considerations in AI-driven Testing
โ€ข Capstone Project: AI for Shift-Left Testing

ใ‚ญใƒฃใƒชใ‚ขใƒ‘ใ‚น

The Professional Certificate in AI for Shift-Left Testing is an industry-relevant program that prepares learners for various roles in the evolving tech landscape. This 3D pie chart highlights the demand for specific roles in the UK market, emphasizing the need for skills in AI, automation, and testing. Roles such as QA Engineer and Software Developer make up a significant portion of the demand, with a combined 75%. QA Engineers, in particular, are essential in implementing AI-driven testing strategies, ensuring high-quality software and reducing technical debt. Data Scientist and Project Manager roles also play a crucial part in AI for Shift-Left Testing, contributing 15% and 10% of the demand, respectively. Data Scientists work with large datasets and AI algorithms, while Project Managers lead teams and oversee successful project delivery, ensuring alignment with business objectives. As the job market continues to evolve, professionals with AI for Shift-Left Testing skills will be well-positioned for success. This program helps learners build practical expertise and stay competitive in their fields by emphasizing industry-relevant trends and best practices.

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ใ„ใคใ‚ณใƒผใ‚นใ‚’้–‹ๅง‹ใงใใพใ™ใ‹๏ผŸ

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ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
PROFESSIONAL CERTIFICATE IN AI FOR SHIFT-LEFT TESTING
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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