Executive Certificate in AI-powered Quality Assurance

Sunday, 14 September 2025 15:19:04

International applicants and their qualifications are accepted

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Overview

Overview

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Executive Certificate in AI-powered Quality Assurance equips quality assurance professionals with in-demand skills.


This program focuses on leveraging artificial intelligence and machine learning for improved testing strategies.


Learn to implement AI-driven automation, optimize testing processes, and enhance software quality.


The certificate is designed for experienced QA professionals, software engineers, and project managers seeking career advancement.


Master predictive analytics and gain expertise in using AI-powered tools for defect detection and prevention. AI-powered Quality Assurance is the future.


Elevate your career and become a leader in the field of intelligent quality assurance. Explore the program today!

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Executive Certificate in AI-powered Quality Assurance empowers professionals to revolutionize testing methodologies. This program focuses on AI-driven automation, equipping you with skills in machine learning for test case generation, predictive analytics for defect detection, and intelligent test automation frameworks. Gain a competitive edge in the rapidly evolving field of software testing, unlocking lucrative career prospects as an AI QA specialist or Test Automation Architect. Upskill in this in-demand area and become a leader in next-generation QA strategies. Develop expertise in cutting-edge tools and techniques for a rewarding future.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Introduction to AI and its Applications in QA
• AI-powered Test Automation Frameworks (Selenium, Appium, etc.)
• Machine Learning for Predictive Quality Assurance
• Implementing AI-driven Test Case Generation and Optimization
• AI in Software Testing: Defect Prediction and Analysis
• Big Data Analytics for Quality Improvement
• Ethical Considerations in AI-powered QA
• Cloud-Based AI Testing Solutions and DevOps Integration

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): 140
2 months (Standard mode): 90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

AI-Powered QA Career Roles (UK) Description
AI QA Engineer Develops and implements AI-driven testing strategies, automating test cases, and ensuring high-quality AI applications. High demand for automation skills.
Machine Learning QA Specialist Focuses on testing machine learning models and algorithms for accuracy, bias, and performance. Requires strong statistical and ML knowledge.
AI Test Automation Architect Designs and builds robust and scalable test automation frameworks for AI systems. Leadership and architectural skills are key.
Data Scientist in QA Uses data analysis and statistical methods to evaluate AI system performance and identify areas for improvement. Strong analytical skills are crucial.

Key facts about Executive Certificate in AI-powered Quality Assurance

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An Executive Certificate in AI-powered Quality Assurance provides professionals with the skills to leverage artificial intelligence in modern testing methodologies. This intensive program focuses on practical application, equipping participants with immediate value in their current roles.


Learning outcomes include mastering AI-driven test automation, understanding machine learning algorithms for defect prediction, and implementing intelligent test data management. Participants will gain proficiency in using AI tools for improved software quality and faster release cycles. This translates to significant efficiency gains in QA processes.


The program's duration is typically tailored to fit busy schedules, often ranging from a few weeks to a few months depending on the specific program structure and intensity. Flexible learning formats are frequently offered to maximize accessibility for working professionals.


The industry relevance of this certificate is undeniable. With the increasing adoption of AI across all sectors, the demand for skilled professionals in AI-powered Quality Assurance is rapidly growing. Graduates are well-positioned for advancement and higher salaries in software development, testing, and related fields. This certificate equips learners with in-demand skills in software testing, automation, and machine learning.


Ultimately, this Executive Certificate in AI-powered Quality Assurance offers a focused, practical pathway to acquiring cutting-edge skills for a thriving career in the ever-evolving tech landscape. It's an investment in future-proof professional development with a focus on practical application and immediate impact within the workplace.

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Why this course?

Executive Certificate in AI-powered Quality Assurance is increasingly significant in the UK's rapidly evolving tech landscape. The demand for professionals skilled in leveraging AI for QA is soaring, mirroring global trends. According to a recent study by the UK's Office for National Statistics (ONS), AI adoption in UK businesses has increased by 25% in the last two years, driving a parallel surge in the need for specialists in AI-driven quality control and testing. This necessitates professionals equipped with advanced knowledge in AI algorithms, machine learning techniques and their applications in automated testing, performance analysis, and predictive maintenance. This certificate program directly addresses this need, equipping professionals with the skills to effectively utilize AI in QA, enhancing efficiency and reducing costs within their organizations.

Year AI Adoption Rate (%)
2021 15
2022 40

Who should enrol in Executive Certificate in AI-powered Quality Assurance?

Ideal Candidate Profile Key Skills & Experience
An Executive Certificate in AI-powered Quality Assurance is perfect for experienced QA professionals seeking to leverage cutting-edge technologies. This includes QA managers, test leads, and automation engineers aiming to upskill in the rapidly evolving field of AI-driven testing. Proven experience in software testing methodologies (Agile, Waterfall), software development lifecycle (SDLC) knowledge, and familiarity with automation testing frameworks is beneficial. Prior experience with machine learning or AI concepts is a plus but not mandatory; the course provides a strong foundation.
The program also benefits IT managers and directors in the UK, where a recent survey (cite a relevant UK statistic here, e.g., "indicates 70% of UK businesses plan to increase AI investment in the next 2 years") highlights the growing demand for AI expertise across industries. Strong analytical and problem-solving skills are crucial for this role. Effective communication and leadership skills are also key assets for successfully implementing AI-powered quality assurance strategies within a team. The ability to work independently and collaboratively is also valuable.