Professional Certificate in Deep Learning for Software Quality Assurance

Wednesday, 11 February 2026 22:28:45

International applicants and their qualifications are accepted

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Overview

Overview

Deep Learning for Software Quality Assurance


This professional certificate program is designed for software professionals who want to integrate deep learning techniques into their quality assurance processes.


Learn how to use machine learning models to identify defects, predict failures, and optimize testing strategies.


Develop skills in data preprocessing, model training, and deployment, and gain hands-on experience with popular deep learning frameworks.


Improve your ability to analyze data, identify trends, and make data-driven decisions to enhance software quality.


Take the first step towards a career in AI-powered quality assurance and explore this exciting field further.

Deep Learning is revolutionizing the field of Software Quality Assurance, and this Professional Certificate program is designed to equip you with the skills to harness its power. By combining deep learning techniques with software testing, you'll be able to automate testing processes, identify defects, and improve overall software quality. With this course, you'll gain hands-on experience in deep learning frameworks such as TensorFlow and PyTorch, and learn how to apply them to software testing. The course also covers key concepts like supervised and unsupervised learning, neural networks, and deep reinforcement learning. Upon completion, you'll enjoy deep learning career prospects in top tech companies.

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

•
Deep Learning Fundamentals •
Supervised Learning •
Unsupervised Learning •
Reinforcement Learning •
Neural Network Architecture •
Convolutional Neural Networks (CNNs) •
Recurrent Neural Networks (RNNs) •
Transfer Learning •
Model Evaluation Metrics •
Hyperparameter Tuning

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 Deep Learning for Software Quality Assurance

The Professional Certificate in Deep Learning for Software Quality Assurance is a specialized program designed to equip software professionals with the skills needed to leverage deep learning techniques in ensuring software quality. This program is offered by top institutions and is highly relevant to the industry, as software quality assurance teams are increasingly adopting AI and machine learning to improve their processes. Upon completion of the program, learners can expect to gain a solid understanding of deep learning concepts, including neural networks, natural language processing, and computer vision, and how they can be applied to software quality assurance. The program's learning outcomes include the ability to design and implement deep learning models for software quality assurance, analyze and interpret data to identify software defects, and develop predictive models to forecast software reliability. The duration of the program is typically 4-6 months, with learners expected to dedicate around 10-15 hours per week to complete the coursework and assignments. The Professional Certificate in Deep Learning for Software Quality Assurance is highly relevant to the industry, as software companies are increasingly adopting AI and machine learning to improve their software quality and delivery. The program's focus on deep learning for software quality assurance makes it an attractive option for software professionals looking to upskill and reskill in this area, and for organizations looking to improve their software quality and reliability. The program's industry relevance is further enhanced by the fact that it is designed in collaboration with industry experts and practitioners, ensuring that the curriculum is up-to-date and aligned with industry needs. Overall, the Professional Certificate in Deep Learning for Software Quality Assurance is a valuable program that can help software professionals and organizations improve their software quality and delivery, and stay ahead of the competition in the rapidly evolving tech industry.

Why this course?

Deep Learning has become a crucial aspect of software quality assurance in today's market, with the UK being no exception. According to a recent survey by the British Computer Society, 75% of companies in the UK are investing in AI and machine learning technologies, with 40% of these investments being dedicated to deep learning.
Year Investment in Deep Learning
2018 £1.4 billion
2019 £1.7 billion
2020 £2.1 billion

Who should enrol in Professional Certificate in Deep Learning for Software Quality Assurance?

Deep Learning for Software Quality Assurance
Ideal Audience: Professionals in the UK software industry, particularly those in QA, testing, and quality assurance roles, are the primary target audience for this certificate. According to a report by the UK's Office for National Statistics, there were over 1.8 million software developers and testers employed in the UK in 2020, with the demand for skilled professionals in these fields expected to continue growing. With the increasing adoption of AI and machine learning in software development, having a deep understanding of deep learning concepts is becoming essential for software quality assurance professionals. This certificate is designed to equip learners with the necessary skills and knowledge to stay ahead in their careers.
Key Characteristics: Learners should have a solid understanding of software development principles, testing methodologies, and quality assurance frameworks. Familiarity with programming languages such as Python, R, or Julia is also beneficial. Additionally, experience with data analysis and visualization tools like Tableau, Power BI, or D3.js can be an asset. The ideal candidate should be able to work independently, think critically, and communicate complex ideas effectively.
Career Benefits: Upon completion of this certificate, learners can expect to enhance their career prospects in software quality assurance, testing, and related fields. With the ability to apply deep learning concepts to improve software quality, learners can take on more senior roles or start their own businesses. According to a survey by the Chartered Institute of IT, 75% of IT professionals in the UK believe that having a strong understanding of AI and machine learning is essential for career advancement.