Certified Specialist Programme in DevOps Execution for Data Science

Sunday, 22 June 2025 12:25:46

International applicants and their qualifications are accepted

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Overview

Overview

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Certified Specialist Programme in DevOps Execution for Data Science equips data scientists with crucial DevOps skills.


This program bridges the gap between data science and MLOps. You'll master CI/CD pipelines for machine learning models.


Learn to automate model deployment, monitoring, and scaling. The Certified Specialist Programme in DevOps Execution for Data Science covers containerization, orchestration, and cloud platforms.


Ideal for data scientists, machine learning engineers, and data engineers seeking career advancement. Enhance your skills and become a highly sought-after professional.


Explore the Certified Specialist Programme in DevOps Execution for Data Science today! Register now and transform your data science career.

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DevOps Execution for Data Science: This Certified Specialist Programme empowers data scientists to master the art of deploying and managing data science projects efficiently. Gain practical skills in CI/CD pipelines, infrastructure-as-code, and cloud platforms (AWS, Azure, GCP). Boost your career prospects by becoming a highly sought-after data scientist proficient in DevOps practices. Accelerate your data science projects, improve collaboration, and ensure seamless deployments with our unique, hands-on curriculum and expert instructors. This DevOps programme offers a fast track to higher-paying roles in data engineering and MLOps. Become a DevOps expert in Data Science today!

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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 for Data Science: Foundations and Principles
• Infrastructure as Code (IaC) for Data Science Pipelines
• CI/CD for Machine Learning Model Deployment
• Containerization and Orchestration (Docker, Kubernetes) for Data Science
• Monitoring and Logging in Data Science DevOps
• Data Security and Governance in a DevOps Environment
• Version Control and Collaboration for Data Science Projects (Git)
• Automating Data Science Workflows
• Cloud Platforms for Data Science DevOps (AWS, Azure, GCP)
• DevOps Best Practices and Agile Methodologies for Data Science

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 & Data Science) Description
Senior DevOps Engineer (Data Science Focus) Leads and implements CI/CD pipelines for data science projects, ensuring efficient and reliable data workflows. Extensive experience with cloud platforms (AWS, Azure, GCP) and containerization technologies is required.
Data Science DevOps Specialist Bridges the gap between data scientists and IT operations, automating data processes and deploying machine learning models to production. Expertise in scripting (Python, Bash) and infrastructure automation is essential.
Cloud DevOps Engineer (Data Analytics) Designs, builds, and maintains cloud infrastructure for data analytics platforms. Deep understanding of cloud architectures, security best practices, and data warehousing is vital.
MLOps Engineer Specializes in the deployment and management of machine learning models in production environments. Expertise in model monitoring, version control, and scalability is crucial.

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

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The Certified Specialist Programme in DevOps Execution for Data Science equips participants with the practical skills and knowledge to streamline data science workflows using DevOps principles. This intensive program focuses on integrating data science models into production environments efficiently and reliably.


Learning outcomes include mastering CI/CD pipelines for data science projects, deploying and monitoring machine learning models at scale, and implementing robust infrastructure automation. Participants will gain hands-on experience with relevant tools and technologies, including containerization (Docker, Kubernetes), cloud platforms (AWS, Azure, GCP), and version control systems (Git).


The program duration is typically [Insert Duration Here], encompassing a blend of instructor-led training, practical workshops, and individual projects. The curriculum is designed to be flexible and adaptable to various learning styles, catering to both beginners and experienced data scientists.


This Certified Specialist Programme in DevOps Execution for Data Science holds significant industry relevance. Graduates are highly sought after by organizations seeking to accelerate their data science initiatives and improve the efficiency of their machine learning operations (MLOps). The skills acquired are directly applicable to roles such as Data Scientist, Machine Learning Engineer, and DevOps Engineer within data-driven organizations.


The program's emphasis on automation, collaboration, and continuous improvement aligns perfectly with the demands of modern data science teams. Graduates will be well-prepared to address challenges in deploying, managing, and maintaining data science applications in complex production environments, contributing to increased agility and business value.

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Why this course?

Certified Specialist Programme in DevOps Execution for Data Science is increasingly significant in today's UK market. The demand for professionals skilled in streamlining data science workflows through DevOps practices is rapidly growing. According to a recent survey (hypothetical data for illustration), 70% of UK-based data science teams report challenges in deploying models efficiently. This highlights a crucial gap addressed by the Certified Specialist Programme. Further, a projected 30% increase in DevOps-related data science roles is anticipated within the next two years in the UK (hypothetical data). This underscores the urgent need for professionals with validated expertise in DevOps execution for data science.

Skill Gap Percentage
Deployment Challenges 70%
DevOps Roles Growth (Projected) 30%

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

Ideal Candidate Profile Description UK Relevance
Data Scientists Seeking to enhance their skills in DevOps practices for efficient data pipeline management and automation. Improve CI/CD implementation for faster model deployment and iteration. The UK's rapidly growing data science sector (cite UK stat if available - e.g., "X% growth projected by YYYY") demands professionals proficient in both data science and DevOps.
Machine Learning Engineers Aiming to streamline model deployment, monitoring, and maintenance using infrastructure-as-code and automation techniques. Gain expertise in containerization and orchestration for scalable ML solutions. With the increasing adoption of AI and ML in UK industries (cite UK stat if available - e.g., "Y% of UK businesses using AI"), this expertise is highly sought-after.
DevOps Engineers Wanting to specialize in the unique challenges of managing data science workflows, including version control, collaboration, and reproducible environments. The UK's technology sector requires DevOps engineers with specialized skills in data science infrastructure management. (cite UK stat if available - e.g., number of DevOps jobs).
Data Engineers Looking to master the operational aspects of building and maintaining robust and scalable data platforms using DevOps principles. Improve collaboration between data and development teams. The demand for data engineers skilled in DevOps is growing significantly in the UK (cite UK stat if available - e.g., growth rate).