Certificate in AI-Driven QA for Smarter Outcomes

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The Certificate in AI-Driven QA for Smarter Outcomes course empowers learners with essential skills to thrive in the rapidly evolving tech industry. This course highlights the importance of AI-driven Quality Assurance (QA) and its critical role in enhancing software development and testing processes.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

In today's data-driven world, there is an increasing demand for professionals who can effectively leverage AI and machine learning techniques to improve QA methodologies. This course bridges the gap between traditional and AI-driven QA approaches, making it an ideal choice for those seeking career advancement in software testing, development, and related fields. By enrolling in this course, learners will gain hands-on experience with cutting-edge AI tools and techniques, develop a deep understanding of AI-driven QA strategies, and learn how to optimize test automation and analytics for smarter outcomes. Equip yourself with the skills to lead innovation in QA and unlock new opportunities in the tech industry.

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ใฉใ“ใ‹ใ‚‰ใงใ‚‚ๅญฆ็ฟ’

ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

LinkedInใƒ—ใƒญใƒ•ใ‚ฃใƒผใƒซใซ่ฟฝๅŠ 

ๅฎŒไบ†ใพใง2ใƒถๆœˆ

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ใ„ใคใงใ‚‚้–‹ๅง‹

ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Unit 1: Introduction to AI-Driven QA
โ€ข Unit 2: Fundamentals of Artificial Intelligence
โ€ข Unit 3: Machine Learning & Deep Learning in QA
โ€ข Unit 4: Natural Language Processing (NLP) for Test Automation
โ€ข Unit 5: Computer Vision in Testing
โ€ข Unit 6: AI-Driven Test Analytics
โ€ข Unit 7: Implementing AI-Driven QA Strategies
โ€ข Unit 8: Continuous Testing in DevOps with AI
โ€ข Unit 9: Ethics & Security in AI-Driven QA
โ€ข Unit 10: Future Trends in AI-Driven Quality Assurance

ใ‚ญใƒฃใƒชใ‚ขใƒ‘ใ‚น

The Certificate in AI-Driven QA for Smarter Outcomes is designed to cater to the growing demand for AI-driven QA expertise in the UK job market. The following roles are experiencing significant growth and offer attractive salary ranges: 1. AI-Driven QA Engineer: With a 35% market share, AI-driven QA engineers are in high demand due to their expertise in harnessing AI technologies to improve testing processes and outcomes. 2. Test Automation Engineer: These professionals contribute to 25% of the market share, focusing on automating repetitive tasks and enhancing overall QA efficiency. 3. Data Analyst: Accounting for 20% of the market, data analysts play a critical role in interpreting data and driving informed decision-making within AI-driven QA processes. 4. Machine Learning Engineer: With a 15% share, machine learning engineers focus on developing and integrating AI models to improve testing and automation. 5. Software Developer: Though representing a smaller portion of the market with a 5% share, software developers contribute significantly by creating robust, scalable solutions that enable AI-driven QA strategies.

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ไบ‹ๅ‰ใฎๆญฃๅผใช่ณ‡ๆ ผใฏไธ่ฆใ€‚ใ‚ขใ‚ฏใ‚ปใ‚ทใƒ“ใƒชใƒ†ใ‚ฃใฎใŸใ‚ใซ่จญ่จˆใ•ใ‚ŒใŸใ‚ณใƒผใ‚นใ€‚

ใ‚ณใƒผใ‚น็Šถๆณ

ใ“ใฎใ‚ณใƒผใ‚นใฏใ€ใ‚ญใƒฃใƒชใ‚ข้–‹็™บใฎใŸใ‚ใฎๅฎŸ็”จ็š„ใช็Ÿฅ่ญ˜ใจใ‚นใ‚ญใƒซใ‚’ๆไพ›ใ—ใพใ™ใ€‚ใใ‚Œใฏ๏ผš

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ใ‚ณใƒผใ‚นใ‚’ๆญฃๅธธใซๅฎŒไบ†ใ™ใ‚‹ใจใ€ไฟฎไบ†่จผๆ˜Žๆ›ธใ‚’ๅ—ใ‘ๅ–ใ‚Šใพใ™ใ€‚

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ใ‚ณใƒผใ‚นใ‚’ๅฎŒไบ†ใ™ใ‚‹ใฎใซใฉใ‚Œใใ‚‰ใ„ๆ™‚้–“ใŒใ‹ใ‹ใ‚Šใพใ™ใ‹๏ผŸ

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

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ใ‚ณใƒผใ‚นๆƒ…ๅ ฑใ‚’ๅ–ๅพ—

่ฉณ็ดฐใชใ‚ณใƒผใ‚นๆƒ…ๅ ฑใ‚’ใŠ้€ใ‚Šใ—ใพใ™

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ใ“ใฎใ‚ณใƒผใ‚นใฎๆ”ฏๆ‰•ใ„ใฎใŸใ‚ใซไผš็คพ็”จใฎ่ซ‹ๆฑ‚ๆ›ธใ‚’ใƒชใ‚ฏใ‚จใ‚นใƒˆใ—ใฆใใ ใ•ใ„ใ€‚

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ใ‚ญใƒฃใƒชใ‚ข่จผๆ˜Žๆ›ธใ‚’ๅ–ๅพ—

ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
CERTIFICATE IN AI-DRIVEN QA FOR SMARTER OUTCOMES
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
ใƒ–ใƒญใƒƒใ‚ฏใƒใ‚งใƒผใƒณID๏ผš s-1-a-2-m-3-p-4-l-5-e
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