Undergraduate Certificate in AI Techniques for DevOps

Sunday, 21 September 2025 22:40:50

International applicants and their qualifications are accepted

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Overview

Overview

Artificial Intelligence (AI) Techniques


Develop skills in AI-driven automation and optimization for DevOps practices, enhancing efficiency and productivity.


This Undergraduate Certificate in AI Techniques for DevOps is designed for IT professionals and developers looking to integrate AI into their workflow.


Learn how to apply machine learning, natural language processing, and computer vision to automate tasks, improve decision-making, and enhance collaboration.

Gain hands-on experience with popular AI tools and technologies, such as TensorFlow, PyTorch, and scikit-learn.


Improve your career prospects and stay ahead in the industry with this comprehensive program.


Explore the possibilities of AI in DevOps and take the first step towards a more efficient and innovative future.

Artificial Intelligence Techniques for DevOps is a cutting-edge course that equips students with the skills to integrate AI into their DevOps practices, revolutionizing the way software is developed and deployed. By mastering AI and DevOps techniques, learners can improve efficiency, reduce costs, and enhance overall system performance. This course offers AI techniques such as machine learning, natural language processing, and computer vision, which are applied to real-world DevOps scenarios. With this knowledge, graduates can pursue careers in DevOps Engineering and AI Engineering, or take on leadership roles in organizations looking to adopt AI-driven DevOps practices.

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

• Machine Learning Fundamentals
• Deep Learning Techniques
• Natural Language Processing (NLP)
• Computer Vision
• Reinforcement Learning
• DevOps and Cloud Computing
• Data Preprocessing and Feature Engineering
• Model Evaluation and Selection
• AI for Predictive Maintenance
• Ethics and Fairness in AI Systems

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 Undergraduate Certificate in AI Techniques for DevOps

The Undergraduate Certificate in AI Techniques for DevOps is a specialized program designed to equip students with the skills required to implement Artificial Intelligence (AI) and Machine Learning (ML) techniques in DevOps practices.
This program focuses on teaching students how to integrate AI and ML into the DevOps pipeline, enabling them to automate tasks, improve efficiency, and enhance overall system performance.
Upon completion of the program, students will have gained knowledge of AI and ML concepts, including supervised and unsupervised learning, neural networks, and deep learning.
They will also learn how to apply these concepts to real-world problems, using popular tools and technologies such as Python, TensorFlow, and Scikit-learn.
The program is designed to be completed in a short duration of one year, making it an ideal option for working professionals who want to upskill or reskill in the field of AI and DevOps.
The Undergraduate Certificate in AI Techniques for DevOps is highly relevant to the industry, as companies are increasingly adopting AI and ML to improve their operations and stay competitive.
By completing this program, students will be able to demonstrate their expertise in AI and DevOps, making them more attractive to potential employers.
The program is also designed to be flexible, allowing students to choose from a range of elective courses that align with their interests and career goals.
Overall, the Undergraduate Certificate in AI Techniques for DevOps is a valuable program that can help students launch or advance their careers in the field of AI and DevOps.

Why this course?

Undergraduate Certificate in AI Techniques for DevOps is a highly sought-after qualification in today's market, with the UK's DevOps industry expected to grow by 22% by 2025, according to a report by the Centre for Economics and Business Research. This growth is driven by the increasing demand for AI-powered automation and continuous integration in software development.
UK DevOps Jobs AI Techniques Growth Rate
22% High 22%
15% Medium 15%
10% Low 10%

Who should enrol in Undergraduate Certificate in AI Techniques for DevOps?

Ideal Audience for Undergraduate Certificate in AI Techniques for DevOps Are you a UK-based IT professional looking to upskill in the rapidly growing field of Artificial Intelligence (AI) and its applications in DevOps?
Key Characteristics: You should be a recent graduate or an early-career professional with a strong foundation in computer science, software engineering, or a related field.
Relevant Background: Proficiency in programming languages such as Python, Java, or C++, and experience with DevOps tools like Docker, Kubernetes, or Jenkins is highly desirable.
Career Goals: Upon completion of the Undergraduate Certificate in AI Techniques for DevOps, you can expect to secure roles in AI-powered DevOps, cloud computing, or data science, with average salaries ranging from £40,000 to £60,000 in the UK.