Certified Specialist Programme in DevOps for Data Mining

Thursday, 04 September 2025 07:22:47

International applicants and their qualifications are accepted

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Overview

Overview

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Certified Specialist Programme in DevOps for Data Mining equips professionals with essential skills in data mining and DevOps methodologies.


This programme focuses on automating data pipelines, improving data infrastructure management, and enhancing data mining efficiency. Data scientists, data engineers, and IT professionals benefit greatly.


Learn to optimize the entire data lifecycle using CI/CD and automation tools. The Certified Specialist Programme in DevOps for Data Mining builds expertise in cloud platforms and big data technologies.


Accelerate your career. Explore the curriculum and register today!

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DevOps for Data Mining: This Certified Specialist Programme empowers you with in-demand skills in automating data pipelines and deploying machine learning models. Master cloud computing and infrastructure-as-code techniques, boosting your career prospects in data science and engineering. Gain hands-on experience through real-world projects and earn a valuable industry-recognized certification. Agile methodologies and collaborative practices are integrated, ensuring you're ready for leading roles in cutting-edge data-driven organizations. The DevOps approach revolutionizes your data workflow, making you a highly sought-after specialist. This DevOps program unlocks unparalleled career opportunities.

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 Scientists
• Data Version Control and Collaboration using Git
• CI/CD Pipelines for Data Science Projects
• Containerization and Orchestration (Docker & Kubernetes) for Data Mining
• Cloud Computing for Data Mining (AWS, Azure, GCP)
• Infrastructure as Code (IaC) for Data Infrastructure
• Monitoring and Logging of Data Pipelines
• Security Best Practices in DevOps for Data Mining
• Agile Methodologies and Data Science
• MLOps: Implementing DevOps for Machine Learning

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

Job Role Description
DevOps Data Mining Engineer Develops and maintains robust data pipelines, ensuring efficient data flow for advanced analytics and machine learning models. Focus on automation and continuous integration/continuous delivery (CI/CD) principles.
Data Scientist - DevOps Combines data science expertise with DevOps practices to build scalable and deployable machine learning solutions. Responsible for model deployment, monitoring and maintenance.
Cloud DevOps Data Engineer Designs and implements cloud-based data infrastructure using DevOps principles. Expertise in cloud platforms (AWS, Azure, GCP) and data warehousing crucial. Focus on automation and scalability.
MLOps Engineer (Data Mining Focus) Specializes in the deployment and management of machine learning models within a DevOps framework. Emphasizes automation, monitoring, and continuous improvement of MLOps pipelines for data mining applications.

Key facts about Certified Specialist Programme in DevOps for Data Mining

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The Certified Specialist Programme in DevOps for Data Mining equips participants with the essential skills and knowledge to streamline data mining processes through efficient DevOps practices. This intensive program focuses on automating data workflows, improving collaboration, and accelerating data-driven insights.


Learning outcomes include mastering CI/CD pipelines for data science projects, implementing infrastructure as code (IaC) for data infrastructure management, and gaining proficiency in containerization and orchestration techniques like Kubernetes for scalable data processing. You'll also learn about monitoring and logging best practices within a DevOps framework for data mining applications.


The program's duration typically spans several weeks or months, depending on the specific curriculum and learning intensity. This allows for comprehensive coverage of core DevOps concepts and their application within the context of data mining, including hands-on projects and practical case studies.


Industry relevance is paramount. This Certified Specialist Programme in DevOps for Data Mining directly addresses the growing demand for data scientists and engineers skilled in DevOps methodologies. Graduates are highly sought after by organizations seeking to optimize their data pipelines, improve data quality, and accelerate their data-driven decision-making capabilities. The skills acquired are directly applicable to big data, cloud computing, and machine learning environments.


Successful completion of the program leads to a globally recognized certification, demonstrating a high level of competency in DevOps for data mining, enhancing career prospects and increasing marketability to potential employers.

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Why this course?

Certified Specialist Programme in DevOps for Data Mining is increasingly significant in the UK's booming tech sector. The demand for skilled professionals proficient in both DevOps practices and data mining techniques is soaring. A recent study indicated a 25% year-on-year growth in DevOps roles requiring data mining expertise. This highlights the urgent need for professionals to upskill and gain recognised certifications like the Certified Specialist Programme.

Job Role Average Salary (£k) Growth (%)
DevOps Engineer (Data Focus) 65 20
Data Scientist (DevOps Skills) 72 25

This Certified Specialist Programme bridges the gap between data science and DevOps, equipping professionals with the in-demand skills to manage data pipelines efficiently and effectively. This certification provides a competitive edge in securing high-paying roles, impacting career progression significantly within the UK's data-driven landscape. The UK's growing emphasis on data analytics and AI further reinforces the value of this specialisation.

Who should enrol in Certified Specialist Programme in DevOps for Data Mining?

Ideal Profile Skills & Experience Career Goals
Data scientists, data engineers, and software engineers seeking to advance their careers by mastering DevOps principles for data mining. The Certified Specialist Programme in DevOps for Data Mining is perfect for professionals who want to bridge the gap between data science and software engineering. Experience with data mining tools and techniques (e.g., Python, R, SQL), familiarity with cloud platforms (e.g., AWS, Azure, GCP), and a basic understanding of CI/CD pipelines. (According to a recent UK survey, 70% of data professionals cite automation as a critical skill gap). Increase efficiency in data pipeline management, improve collaboration between data science and IT operations teams, and secure higher-paying roles in data engineering and DevOps. Many DevOps professionals in the UK earn significantly above the national average salary.