Professional Certificate in AI Testing for Software Engineers

Wednesday, 11 February 2026 23:52:57

International applicants and their qualifications are accepted

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Overview

Overview

Artificial Intelligence (AI) Testing

is a crucial aspect of software development, ensuring that AI-powered applications are reliable, efficient, and meet user expectations. As a software engineer, you play a vital role in this process.

AI Testing

involves evaluating the performance, accuracy, and reliability of AI models and systems, identifying bugs and defects, and developing strategies to mitigate them. This course is designed specifically for software engineers who want to gain hands-on experience in AI testing.

Some key concepts covered in this course include

machine learning testing, deep learning testing, and natural language processing testing. You'll learn how to use various tools and techniques to test AI models, including regression testing, unit testing, and integration testing.

By the end of this course, you'll be able to

develop a comprehensive understanding of AI testing principles and practices, and apply them to real-world projects. You'll also gain the skills and confidence to contribute to the development of high-quality AI-powered applications.

So why wait? Explore the world of AI testing today and take the first step towards becoming a proficient AI testing professional.

AI Testing is revolutionizing the software engineering landscape, and this Professional Certificate course is designed to equip you with the skills to thrive in this exciting field. By mastering AI Testing, you'll gain a deep understanding of testing strategies, tools, and techniques to ensure high-quality AI-powered software. With this course, you'll unlock AI Testing career prospects, including roles in testing, quality assurance, and software development. Unique features include hands-on experience with popular testing frameworks, expert-led workshops, and access to a community of like-minded professionals. Boost your career with AI Testing and stay ahead in the industry.

Entry requirements

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

•
• Unit Testing Fundamentals •
• Test-Driven Development (TDD) Principles •
• Behavior-Driven Development (BDD) Methodologies •
• Automated Testing Frameworks (e.g. Pytest, Unittest) •
• Test Automation Frameworks (e.g. Selenium, Appium) •
• Continuous Integration and Continuous Deployment (CI/CD) •
• Test Data Management and Generation •
• Performance Testing and Load Testing •
• AI and Machine Learning in Testing (e.g. Model-Based Testing)

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

Key facts about Professional Certificate in AI Testing for Software Engineers

The Professional Certificate in AI Testing for Software Engineers is a comprehensive program designed to equip software engineers with the skills and knowledge required to test artificial intelligence (AI) and machine learning (ML) models.
This program focuses on teaching software engineers how to test AI and ML models using various testing techniques, including black box testing, white box testing, and gray box testing.
Upon completion of the program, software engineers will be able to identify and report defects in AI and ML models, and develop test plans and test cases to ensure the reliability and accuracy of these models.
The program covers a range of topics, including AI and ML testing methodologies, AI and ML testing tools, and AI and ML testing best practices.
The duration of the program is typically 4-6 months, and it consists of 8-10 courses that are designed to be completed at the learner's own pace.
The Professional Certificate in AI Testing for Software Engineers is highly relevant to the software engineering industry, as AI and ML models are becoming increasingly prevalent in various industries, including healthcare, finance, and transportation.
The program is designed to meet the needs of software engineers who want to gain the skills and knowledge required to test AI and ML models, and it is particularly relevant to software engineers who are working on projects that involve AI and ML.
The program is offered by top universities and organizations, and it is designed to be completed by software engineers who have a basic understanding of software engineering principles and concepts.
Upon completion of the program, software engineers will receive a Professional Certificate in AI Testing for Software Engineers, which can be added to their resume and LinkedIn profile.
The program is highly regarded by employers, and it can be a valuable addition to a software engineer's skill set, particularly in industries where AI and ML models are used extensively.
The Professional Certificate in AI Testing for Software Engineers is a great way for software engineers to gain the skills and knowledge required to test AI and ML models, and it can be completed at the learner's own pace.

Why this course?

AI Testing has become a crucial aspect of software development, with the UK's tech industry experiencing significant growth. According to Google Charts, the demand for AI testing professionals is on the rise, with a projected 13% increase in job postings by 2025 (Figure 1). This trend is driven by the increasing adoption of AI and machine learning technologies in various industries.
Year Job Postings
2020 5,600
2021 7,100
2022 9,300
2023 11,500
2024 13,800

Who should enrol in Professional Certificate in AI Testing for Software Engineers?

Ideal Audience for Professional Certificate in AI Testing for Software Engineers Are you a software engineer looking to upskill in AI testing and enhance your career prospects in the UK tech industry?
Key Characteristics: You should have a solid foundation in software engineering, with experience in testing frameworks and methodologies. You're eager to learn AI testing techniques and stay ahead of the curve in the rapidly evolving tech landscape.
UK-Specific Statistics: According to a report by the UK's National Cyber Security Centre, the demand for AI and machine learning professionals is expected to increase by 30% by 2025. With the UK's tech industry valued at over £250 billion, having AI testing skills can significantly boost your career prospects and earning potential.
Ideal Background: You should have a degree in computer science, software engineering, or a related field, with at least 2 years of experience in software development. Familiarity with programming languages such as Python, Java, or C++ is also essential.
What to Expect: Our Professional Certificate in AI Testing for Software Engineers will equip you with the skills and knowledge to design, develop, and execute AI testing strategies. You'll learn from industry experts and gain hands-on experience with AI testing tools and technologies.