Masterclass Certificate in AI for QA: Results-Driven Approach

Name: Masterclass Certificate in AI for QA: Results-Driven Approach
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The Masterclass Certificate in AI for QA: Results-Driven Approach is a comprehensive course that empowers learners with essential skills for career advancement in the rapidly evolving field of AI and Quality Assurance. This course is critical for professionals seeking to stay ahead in an industry where AI technologies are becoming increasingly integral to QA processes.

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AboutThisCourse

By combining theory with practical, hands-on exercises, learners will gain a deep understanding of how to leverage AI to optimize QA workflows, reduce manual effort, and ensure high-quality software products. Key topics include machine learning, natural language processing, computer vision, and data analytics, all taught from a QA perspective. Upon completion, learners will have a robust portfolio of AI-driven QA projects and a certificate from a leading industry provider, demonstrating their expertise to potential employers. This course is an excellent investment for anyone looking to future-proof their career in QA and take advantage of the growing demand for AI skills in the industry.

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CourseDetails

• Unit 1: Introduction to AI in QA
• Unit 2: Machine Learning Fundamentals
• Unit 3: Natural Language Processing (NLP)
• Unit 4: Computer Vision and Image Recognition
• Unit 5: AI Algorithms for Test Automation
• Unit 6: Implementing AI-Based Test Strategies
• Unit 7: Performance and Load Testing with AI
• Unit 8: Continuous Integration and Continuous Deployment (CI/CD) with AI
• Unit 9: Data Analysis for Test Optimization
• Unit 10: Ethical Considerations and Bias Mitigation in AI for QA

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EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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TwoThreeHoursPerWeek
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MASTERCLASS CERTIFICATE IN AI FOR QA: RESULTS-DRIVEN APPROACH

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London School of International Business (LSIB)

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05 May 2025

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