Certified Specialist Programme in DevOps Management for Data Science

Sunday, 27 July 2025 11:26:10

International applicants and their qualifications are accepted

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Overview

Overview

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Certified Specialist Programme in DevOps Management for Data Science equips data scientists with essential DevOps skills.


This programme focuses on streamlining data science workflows using CI/CD pipelines and automation.


Learn to manage infrastructure, deploy models efficiently, and improve collaboration within data science teams.


The DevOps Management for Data Science certification is ideal for aspiring data engineers, data scientists, and machine learning engineers.


Master tools like Docker, Kubernetes, and cloud platforms. DevOps for Data Science principles are taught practically.


Gain a competitive edge. Elevate your career prospects. Enroll today and become a Certified Specialist in DevOps Management for Data Science.

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DevOps Management for Data Science: Become a certified specialist in orchestrating seamless data workflows. This program bridges the gap between data science and DevOps, equipping you with crucial skills in CI/CD for data pipelines, infrastructure as code (IaC), and cloud deployment strategies. Boost your career prospects in high-demand roles like Data DevOps Engineer or Data Platform Manager. Gain hands-on experience through real-world projects and master essential tools like Kubernetes and Docker. Our unique curriculum focuses on automation, monitoring, and scalability in data-centric environments. Unlock your full potential with this transformative DevOps Management for Data Science 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

• DevOps Fundamentals for Data Science
• CI/CD Pipelines for Data Science Projects
• Infrastructure as Code (IaC) for Data Science Environments
• Containerization and Orchestration (Docker, Kubernetes) for Data Science
• Monitoring and Logging in Data Science DevOps
• Data Security and Compliance in DevOps for Data Science
• Version Control and Collaboration (Git) for Data Science Teams
• Agile Methodologies and DevOps for Data Science
• Implementing MLOps (Machine Learning Operations)

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

Career Role (DevOps Management for Data Science) Description
Data Science DevOps Engineer Automates infrastructure provisioning, CI/CD pipelines, and monitoring for data science projects, ensuring seamless deployment and scalability. High demand due to the increasing need for efficient data workflows.
MLOps Engineer Focuses on the deployment, monitoring, and management of machine learning models in production environments. Expertise in containerization and orchestration is crucial in this rapidly growing field.
Cloud DevOps Architect (Data Focus) Designs and implements cloud-based infrastructure solutions optimized for data science workloads, ensuring high availability, security, and scalability in cloud environments like AWS, Azure, or GCP. A key role in large-scale data initiatives.
Big Data DevOps Specialist Manages the infrastructure and deployment processes for big data platforms like Hadoop and Spark. Requires deep understanding of data processing frameworks and DevOps best practices.

Key facts about Certified Specialist Programme in DevOps Management for Data Science

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The Certified Specialist Programme in DevOps Management for Data Science equips participants with the essential skills to streamline data science workflows and enhance operational efficiency. This intensive program focuses on bridging the gap between data science development and deployment, fostering a culture of collaboration and continuous improvement.


Learning outcomes include mastering CI/CD pipelines for machine learning models, implementing infrastructure as code (IaC), and securing data science environments. You'll also gain expertise in monitoring and logging data science applications, alongside proficiency in containerization technologies like Docker and Kubernetes. This program directly addresses the challenges of scaling data science projects and deploying models to production reliably.


The program's duration is typically structured across several weeks or months, delivered through a blend of online and potentially in-person sessions, depending on the specific provider. The curriculum is designed for working professionals, balancing rigorous learning with the demands of a career in data science or IT.


Industry relevance is paramount. This Certified Specialist Programme in DevOps Management for Data Science directly addresses the growing need for professionals who can effectively manage the entire lifecycle of data science projects. Graduates gain highly sought-after skills in cloud computing, automation, and agile methodologies, making them invaluable assets to organizations across various sectors.


Upon successful completion, participants receive a globally recognized certification, showcasing their competence in DevOps practices tailored for the unique needs of data science. This certification significantly enhances career prospects and opens doors to advanced roles in data engineering, machine learning engineering, and DevOps leadership. The program fosters strong knowledge of big data technologies and cloud platforms, ensuring a practical and future-proof skill set.

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Why this course?

Certified Specialist Programme in DevOps Management for Data Science is increasingly significant in the UK's booming tech sector. The demand for skilled data scientists proficient in DevOps practices is soaring, driven by the rise of cloud computing and big data analytics. According to recent UK government statistics, the digital sector added 160,000 jobs in 2022, many requiring DevOps expertise. This highlights a growing skills gap in DevOps management for data science professionals, making this certification highly valuable.

A DevOps Certified Specialist possesses critical skills, including CI/CD pipeline management, infrastructure automation, and containerization technologies (such as Docker and Kubernetes). These skills are crucial for efficient data science workflows, enabling faster deployment of models and improved collaboration between data scientists and IT operations.

Year DevOps Job Openings (UK)
2022 100,000
2023 (Projected) 120,000

Who should enrol in Certified Specialist Programme in DevOps Management for Data Science?

Ideal Candidate Profile Description UK Relevance
Data Scientists seeking career advancement This Certified Specialist Programme in DevOps Management for Data Science is perfect for data scientists aiming to enhance their skills in managing and deploying data science projects efficiently. Mastering CI/CD pipelines and cloud infrastructure will significantly boost your career prospects. With the UK's growing data science sector and increasing demand for professionals with DevOps skills, this program offers a significant competitive edge. (Source needed for specific UK statistic)
DevOps Engineers expanding their expertise Already proficient in DevOps principles? Expand your skillset to specialize in the unique challenges of data science workflows. Learn to integrate machine learning models and big data pipelines effectively. The UK is a hub for technology, and specializing in Data Science DevOps can unlock high-demand roles within UK tech companies and startups. (Source needed for specific UK statistic)
IT Managers overseeing data science teams Improve team performance and efficiency by gaining a deeper understanding of the entire data science lifecycle from development to deployment. Optimise resource allocation and streamline your workflow using best practices in DevOps. Effectively managing data science teams is crucial for UK businesses across various sectors. This programme empowers managers to lead and support their teams effectively. (Source needed for specific UK statistic)