Professional Certificate in DevOps AI for Application Delivery

Thursday, 12 February 2026 06:45:49

International applicants and their qualifications are accepted

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Overview

Overview

DevOps AI for Application Delivery

Transform your career with a Professional Certificate in DevOps AI for Application Delivery, designed for IT professionals and developers looking to bridge the gap between technology and business.


Learn how to leverage AI and machine learning to automate application delivery, improve collaboration, and increase efficiency in your organization.


Gain hands-on experience with tools like Jenkins, Docker, and Kubernetes, and develop skills in AI-powered automation, continuous integration, and continuous delivery.


Improve your ability to analyze data, identify trends, and make informed decisions with AI-driven insights.


Enhance your career prospects and stay ahead of the curve in the rapidly evolving DevOps landscape.


Explore this comprehensive program and discover how DevOps AI for Application Delivery can revolutionize your career.

DevOps AI for Application Delivery is a comprehensive course that equips professionals with the skills to design, implement, and manage AI-driven application delivery systems. By combining DevOps principles with AI technologies, learners can improve application performance, reduce downtime, and increase overall efficiency. Key benefits include enhanced automation, improved collaboration, and data-driven decision making. Career prospects are excellent, with high demand for professionals who can integrate DevOps and AI. Unique features of the course include hands-on experience with popular tools like Jenkins, Docker, and TensorFlow, as well as expert guidance from industry professionals.

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

• Containerization with Docker
• Microservices Architecture
• Continuous Integration and Continuous Deployment (CI/CD)
• Monitoring and Logging with Prometheus and Grafana
• Artificial Intelligence (AI) for Predictive Maintenance
• Machine Learning (ML) for Application Optimization
• DevOps Tools and Automation
• Cloud Computing with AWS or Azure
• Agile Methodologies for Team Collaboration
• Security and Compliance in DevOps

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 DevOps AI for Application Delivery

The Professional Certificate in DevOps AI for Application Delivery is a comprehensive program designed to equip learners with the skills required to implement AI-driven DevOps practices in application delivery.
This program focuses on the intersection of artificial intelligence, machine learning, and DevOps, enabling learners to create intelligent application delivery systems that can adapt to changing business needs.
Through a combination of coursework, hands-on projects, and industry collaborations, learners will gain a deep understanding of AI-driven DevOps principles, including data-driven decision making, predictive analytics, and continuous delivery.
Upon completion of the program, learners can expect to gain the following learning outcomes:
- Develop a comprehensive understanding of AI-driven DevOps practices and their application in application delivery
- Learn how to design and implement intelligent application delivery systems using machine learning and predictive analytics
- Acquire hands-on experience with DevOps tools and technologies, including containerization, orchestration, and continuous integration
- Develop data-driven decision making skills using AI and machine learning techniques
- Collaborate with industry professionals to apply AI-driven DevOps principles in real-world scenarios
The duration of the program is typically 12 weeks, with learners expected to dedicate around 10-15 hours per week to coursework and project work.
Industry relevance is a key aspect of this program, as it addresses the growing demand for AI-driven DevOps professionals in the industry.
By completing this program, learners can expect to increase their earning potential, enhance their career prospects, and stay ahead of the curve in the rapidly evolving DevOps landscape.
The Professional Certificate in DevOps AI for Application Delivery is designed to be completed in a short period, making it an ideal option for working professionals looking to upskill or reskill in the field of DevOps AI.
This program is offered by leading institutions and is recognized globally, ensuring that learners gain a high-quality education that is aligned with industry standards.
Upon completion, learners will receive a professional certificate that can be added to their resume, demonstrating their expertise in DevOps AI for application delivery.

Why this course?

Professional Certificate in DevOps AI for Application Delivery is a highly sought-after credential in today's market, with the UK's DevOps market expected to reach £1.4 billion by 2025, growing at a CAGR of 22.1% (Source: ResearchAndMarkets). To stay competitive, professionals need to acquire skills in DevOps AI, which is driving innovation in application delivery.
Year DevOps Market Size (UK)
2020 £844.6 million
2023 £1.1 billion
2025 £1.4 billion

Who should enrol in Professional Certificate in DevOps AI for Application Delivery?

Ideal Audience for Professional Certificate in DevOps AI for Application Delivery Are you a UK-based IT professional looking to upskill in DevOps and AI for application delivery? With the UK's digital economy valued at £1.1 trillion, the demand for DevOps professionals is on the rise, with 71% of organisations planning to increase their DevOps spend in the next two years (Source: Gartner).
Key Characteristics Our Professional Certificate in DevOps AI for Application Delivery is designed for IT professionals with 2+ years of experience in software development, testing, or IT operations. You should have a strong understanding of programming languages such as Python, Java, or C++, as well as experience with Agile methodologies and cloud platforms like AWS or Azure.
Career Goals Upon completing the course, you can expect to enhance your career prospects in DevOps and AI for application delivery. In the UK, DevOps engineers are in high demand, with salaries ranging from £60,000 to £100,000 per annum, depending on experience and location (Source: Glassdoor).
Prerequisites To be eligible for the course, you should have a good understanding of software development principles, as well as experience with at least one programming language. No prior knowledge of DevOps or AI is required, but a basic understanding of cloud platforms and Agile methodologies is recommended.