Postgraduate Certificate in DevOps Automation for Data Science

Tuesday, 10 February 2026 01:34:20

International applicants and their qualifications are accepted

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Overview

Overview

DevOps Automation for Data Science: This Postgraduate Certificate empowers data scientists with crucial automation skills.


Master CI/CD pipelines, containerization (Docker, Kubernetes), and cloud platforms (AWS, Azure).


Learn to streamline data workflows, improve collaboration, and accelerate deployment of data science projects. This DevOps program is ideal for data scientists seeking career advancement.


Develop expertise in infrastructure as code and monitoring tools. Enhance your DevOps capabilities and become a more efficient data scientist.


DevOps Automation for Data Science is your pathway to a higher-paying role. Explore the program today!

DevOps Automation for Data Science Postgraduate Certificate empowers data scientists with essential automation skills. This program blends cloud computing and scripting expertise, equipping you to build robust, scalable data pipelines. Master CI/CD for data projects, boosting efficiency and deployment speed. Gain in-demand skills for high-paying roles in data engineering and DevOps. Our unique curriculum integrates real-world case studies and hands-on projects, ensuring you're job-ready upon graduation. Accelerate your data science career with DevOps Automation expertise.

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

• Infrastructure as Code (IaC) with Terraform and Ansible
• CI/CD Pipelines for Data Science using Jenkins and GitLab CI
• Containerization and Orchestration with Docker and Kubernetes for Data Science Applications
• DevOps Automation for Data Science: Best Practices and Tools
• Cloud Computing Platforms for Data Science (AWS, Azure, GCP)
• Monitoring and Logging of Data Science Workflows
• Data Security and Compliance in DevOps for Data Science
• Agile Methodologies and DevOps for Data Science Projects

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

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

Career Role (DevOps Automation for Data Science) Description
Data Science DevOps Engineer Automates data pipelines, deploys machine learning models, and ensures seamless data infrastructure. High demand in UK tech.
MLOps Engineer Focuses on the deployment and management of machine learning models in production environments. A crucial role in AI-driven businesses.
Cloud Data Engineer (DevOps) Builds and maintains data infrastructure on cloud platforms using DevOps principles. Expertise in AWS, Azure, or GCP is essential.
DevOps Data Architect Designs and implements scalable and reliable data architectures, integrating DevOps best practices. A highly specialized and sought-after role.

Key facts about Postgraduate Certificate in DevOps Automation for Data Science

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A Postgraduate Certificate in DevOps Automation for Data Science equips you with the skills to streamline data science workflows, enhancing efficiency and collaboration. You'll learn to automate processes, from data pipeline construction to model deployment, using industry-standard tools.


Learning outcomes include mastering CI/CD pipelines for data science projects, proficiency in infrastructure-as-code (IaC) techniques like Terraform, and expertise in containerization technologies like Docker and Kubernetes. You’ll also gain a deep understanding of cloud computing platforms such as AWS and Azure, essential for modern data science deployments.


The program duration typically ranges from six to twelve months, depending on the institution and the intensity of the course. The flexible format allows professionals to upskill while maintaining their current roles. This Postgraduate Certificate emphasizes practical application through hands-on projects and real-world case studies, ensuring immediate applicability in a professional setting.


This Postgraduate Certificate in DevOps Automation for Data Science is highly relevant to the current industry landscape. The demand for data scientists skilled in automation is rapidly growing, making graduates highly sought-after by organizations across various sectors. The skills acquired are directly transferable, making it a valuable asset for career advancement and increased earning potential within data science, machine learning, and big data environments.


Graduates are well-prepared to tackle challenges related to data version control, reproducible research, and scalable model deployment, all crucial components of efficient and robust data science practices. The program integrates agile methodologies for effective project management and collaborative development.

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Why this course?

A Postgraduate Certificate in DevOps Automation for Data Science is increasingly significant in today's UK market. The demand for skilled professionals who can bridge the gap between data science and efficient deployment is rapidly growing. According to a recent survey (hypothetical data for illustration), 70% of UK-based tech companies reported difficulties in finding candidates with expertise in DevOps automation for data science projects. This figure is projected to rise to 85% within the next three years.

Year Percentage
2023 70%
2024 (Projected) 78%
2025 (Projected) 85%

This Postgraduate Certificate directly addresses this skills gap, equipping graduates with the automation expertise vital for streamlining data science workflows and accelerating project delivery. The integration of DevOps principles into data science practices is becoming increasingly crucial for organizations striving for a competitive edge. Therefore, a certification in this area holds immense value for both career advancement and industry contribution.

Who should enrol in Postgraduate Certificate in DevOps Automation for Data Science?

Ideal Candidate Profile Description & UK Relevance
Data Scientists seeking automation skills Already proficient in data science techniques (e.g., machine learning, statistical analysis), but looking to enhance efficiency and scalability through DevOps automation tools and CI/CD pipelines. Over 50,000 data science professionals are employed in the UK, many of whom could benefit from this specialization.
Software Engineers transitioning to data science Possessing strong programming and software engineering backgrounds, these individuals aim to transition into data science roles by acquiring relevant domain knowledge and enhancing their expertise in cloud computing and infrastructure automation. This aligns with the UK's growing demand for professionals bridging software engineering and data science.
MLOps Engineers aiming for career advancement Experienced in machine learning operations but seeking to deepen their understanding of DevOps principles, cloud infrastructure management, and advanced automation techniques for enhanced career progression. The UK’s expanding tech sector offers substantial growth opportunities for individuals with this specialized skill set.
IT professionals interested in data science Individuals with IT backgrounds who are keen to transition into the lucrative data science field by combining their existing IT skills with data science techniques and DevOps automation methodologies. The UK’s digital transformation initiatives are driving high demand for professionals who can bridge IT and data science.