Executive Development Programme in Leading QA in the AI Age

Name: Executive Development Programme in Leading QA in the AI Age
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The Executive Development Programme in Leading QA in the AI Age is a certificate course designed to empower professionals with essential skills for the AI-driven era. This programme highlights the growing importance of Quality Assurance (QA) in the tech industry, with a focus on applying AI and machine learning to improve QA processes.

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AboutThisCourse

With the rapid growth of technology, there's a high demand for professionals who can implement and manage AI-driven QA strategies. This course equips learners with the latest industry practices, tools, and techniques to lead QA teams and initiatives. Through hands-on projects, real-world case studies, and expert instruction, learners will develop the ability to design, implement, and monitor QA processes that leverage AI. By completing this programme, learners will not only enhance their technical skills but also build their leadership and management abilities, making them highly valuable candidates for career advancement in the tech industry. Stand out as a leader in QA and drive innovation in your organisation with the Executive Development Programme in Leading QA in the AI Age.

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CourseDetails

• Fundamentals of Quality Assurance (QA) in AI
• Leadership and Management in QA
• Emerging Trends and Technologies in AI QA
• AI QA Strategy and Planning
• Continuous Testing and Integration in AI
• Risk Management and Compliance in AI QA
• AI QA Tools and Technologies
• Metrics and Analytics for AI QA
• Change Management and Communication in AI QA
• Building a High-Performing AI QA Team

CareerPath

The Executive Development Programme in Leading QA in the AI Age is an excellent opportunity for professionals to enhance their skills and expertise in Quality Assurance. A 3D pie chart provides a visual representation of the relevance of various roles in this domain: 1. QA Engineer: With a 45% share, QA Engineers are essential to the development and implementation of software testing methodologies to ensure product quality. 2. QA Manager: Holding a 30% stake, QA Managers lead teams, oversee testing processes, and collaborate with development teams to achieve high-quality software. 3. AI QA Specialist: Representing 25%, AI QA Specialists focus on testing AI-based applications, requiring a deep understanding of artificial intelligence, machine learning, and data analysis.

EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
DedicationCompleteCourse

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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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FlexibleLearningPace

TwoThreeHoursPerWeek
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EXECUTIVE DEVELOPMENT PROGRAMME IN LEADING QA IN THE AI AGE

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London School of International Business (LSIB)

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05 May 2025

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