Certificate Programme in DevOps Education for Data Science

Wednesday, 25 February 2026 16:25:23

International applicants and their qualifications are accepted

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Overview

Overview

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DevOps for Data Science is a certificate program designed for data scientists and engineers seeking to enhance their skills in CI/CD pipelines, automation, and cloud infrastructure.


This DevOps program bridges the gap between data science and software engineering. You'll master essential tools and techniques. Learn how to build and deploy data science projects efficiently.


The curriculum covers containerization (Docker, Kubernetes), infrastructure as code (Terraform), and monitoring. Gain practical experience through hands-on projects. Accelerate your career with this in-demand DevOps specialization.


Explore the program today and transform your data science workflow. Enroll now!

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DevOps education is revolutionizing data science! This Certificate Programme in DevOps for Data Science equips you with essential skills in automation, continuous integration/continuous delivery (CI/CD), and cloud infrastructure management. Master critical tools and techniques to streamline your data science workflow and accelerate deployments. Gain a competitive edge in the rapidly growing field of data science DevOps, boosting your career prospects significantly. Our unique curriculum blends theoretical knowledge with practical, hands-on projects, preparing you for immediate impact. Become a sought-after DevOps engineer specializing in data science with this transformative DevOps education program.

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 DevOps Principles and Agile Methodologies
• Version Control with Git and GitHub (including branching strategies and collaborative workflows)
• Infrastructure as Code (IaC) using Terraform or CloudFormation
• Containerization with Docker and Kubernetes for Data Science Applications
• CI/CD Pipelines for Data Science Projects (including automated testing and deployment)
• Cloud Computing Platforms for Data Science (AWS, Azure, or GCP)
• Monitoring and Logging for Data Science DevOps (using tools like Prometheus and Grafana)
• Data Security and Compliance in a DevOps Environment
• DevOps for Machine Learning (MLOps) – including model deployment and monitoring

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

DevOps Engineer for Data Science (UK)

Career Role Description
Senior Data DevOps Engineer Lead the design, implementation, and maintenance of data pipelines and infrastructure; expertise in CI/CD for data projects; strong leadership and team management.
Cloud Data Engineer (DevOps) Build and manage cloud-based data solutions using AWS, Azure, or GCP; automate infrastructure and deployment processes; excellent knowledge of data warehousing and big data technologies.
Data Scientist with DevOps Skills Develop and deploy machine learning models; proficient in using DevOps tools and practices to streamline the model lifecycle; bridge the gap between data science and engineering.
DevOps Data Analyst Analyze data related to DevOps processes and performance; identify areas for improvement and optimize workflows; strong analytical and reporting skills.

Key facts about Certificate Programme in DevOps Education for Data Science

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A Certificate Programme in DevOps Education for Data Science equips participants with the crucial skills to streamline data science workflows and accelerate deployment. This program bridges the gap between data science expertise and efficient operational practices, making graduates highly sought after in the industry.


Learning outcomes include mastering continuous integration and continuous delivery (CI/CD) pipelines tailored for data science projects, proficient use of configuration management tools like Ansible or Puppet, and practical experience with containerization technologies such as Docker and Kubernetes. Students will also gain a solid understanding of infrastructure as code (IaC) and cloud platforms like AWS, Azure, or GCP, essential components for modern data science DevOps.


The program's duration is typically structured to balance theoretical knowledge with hands-on projects, often spanning 3-6 months depending on the intensity and curriculum. This flexible timeframe allows professionals to upskill or reskill efficiently without disrupting their existing commitments. The curriculum integrates real-world case studies and projects to ensure practical applicability.


Industry relevance is paramount. The demand for data scientists who understand DevOps practices is rapidly increasing. Companies across various sectors seek individuals capable of automating data pipelines, improving collaboration between data science and IT teams, and ensuring reliable deployment of data-driven applications. A DevOps Certificate in Data Science provides graduates with the competitive edge needed to thrive in this dynamic field, offering skills directly transferable to roles like Data Engineer, Machine Learning Engineer, or DevOps Engineer for data science teams.


This intensive training provides a strong foundation in automating data workflows, optimizing data infrastructure, and improving the efficiency of data science projects, positioning graduates for advanced roles and higher earning potential.

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Why this course?

Year UK DevOps Professionals
2022 150,000
2023 (Projected) 175,000

Certificate Programmes in DevOps are increasingly significant for data science education in the UK. The demand for skilled professionals who can bridge the gap between data science and efficient deployment is soaring. According to recent industry reports, the number of DevOps professionals in the UK is experiencing substantial growth. This surge reflects the crucial role DevOps plays in accelerating the delivery of data-driven solutions. A DevOps certificate equips data scientists with invaluable skills in automation, continuous integration/continuous delivery (CI/CD), and infrastructure as code (IaC), enabling them to streamline workflows and deploy models more efficiently. This is especially crucial given the UK's growing focus on AI and data-driven decision-making. The integration of DevOps practices within data science curricula is no longer a luxury but a necessity for producing job-ready graduates. Data science professionals armed with DevOps skills command higher salaries and increased career opportunities.

Who should enrol in Certificate Programme in DevOps Education for Data Science?

Ideal Candidate Profile Skills & Experience Career Aspirations
Data scientists seeking to enhance their workflow efficiency and collaboration. This DevOps Certificate Programme is perfect for those wanting to bridge the gap between data science and IT operations. Experience with Python, R, or similar data science tools is beneficial. Familiarity with cloud platforms (AWS, Azure, GCP) is a plus, but not required. The programme provides comprehensive training in CI/CD and infrastructure as code (IaC) concepts. Aspiring to streamline data science projects, improve deployment speed, and automate processes for greater efficiency. According to recent UK government data (hypothetical statistic – replace with actual data if available), demand for data scientists with DevOps skills is growing rapidly, presenting excellent career progression opportunities.
Software engineers with a passion for data and analytics who are ready to expand their skillset. Strong programming skills and experience with version control systems (Git). A basic understanding of Linux and containerization technologies (Docker, Kubernetes) is advantageous. Seeking to transition into the high-demand field of data science engineering, leading to higher earning potential and improved career prospects within the rapidly growing UK tech sector.