Advanced Certificate in DevOps Mentoring for Data Science

Monday, 15 September 2025 00:13:05

International applicants and their qualifications are accepted

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Overview

Overview

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DevOps Mentoring for Data Science: This advanced certificate program empowers data scientists to master DevOps practices.


Learn to streamline data pipelines using CI/CD and automation.


Cloud computing, containerization (Docker, Kubernetes), and infrastructure as code (IaC) are covered.


Ideal for experienced data scientists seeking to enhance their skills and become more effective team members.


Gain practical, hands-on experience with real-world projects. Develop essential DevOps skills for a successful data science career.


This DevOps Mentoring for Data Science certificate will boost your career prospects.


Enroll today and transform your data science workflow!

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DevOps Mentoring for Data Science delivers an advanced certificate equipping you with expert skills in CI/CD pipelines, infrastructure as code, and collaborative methodologies. This intensive program enhances your data science career prospects by bridging the gap between development and operations. Gain practical experience through hands-on projects and mentorship from industry leaders. Become a sought-after DevOps engineer specializing in data science, boosting your earning potential and career trajectory. Cloud technologies and agile principles are integrated throughout. Secure your future in this high-demand field with our unique DevOps certification.

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
• Containerization and Orchestration (Docker, Kubernetes) for Data Science Pipelines
• CI/CD for Data Science Projects (using Jenkins, GitLab CI/CD, etc.)
• Infrastructure as Code (IaC) with Terraform or CloudFormation for Data Science Environments
• Data Version Control and Collaboration (using DVC or Git LFS)
• Monitoring and Logging of Data Science Workflows
• Cloud Platforms for Data Science DevOps (AWS, Azure, GCP)
• Security Best Practices in Data Science DevOps
• Advanced DevOps Mentoring Strategies and Techniques
• Scaling and Optimizing Data Science Workflows

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 Engineer, Data Science) Description
Senior DevOps Engineer (Cloud, CI/CD) Leads cloud infrastructure projects, designs CI/CD pipelines, ensures application stability and scalability. High demand.
MLOps Engineer (Kubernetes, Machine Learning) Builds and manages the infrastructure for machine learning models, automating deployment and monitoring. Growing rapidly.
Data Science DevOps Engineer (Agile, Data Pipelines) Bridges the gap between data science and DevOps, managing data pipelines and infrastructure for data-driven applications. High potential.
DevOps Consultant (Automation, AWS) Provides expert DevOps guidance to organisations, helping them improve their development and deployment processes. Strong earning potential.

Key facts about Advanced Certificate in DevOps Mentoring for Data Science

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An Advanced Certificate in DevOps Mentoring for Data Science equips participants with the skills to effectively guide data science teams in adopting and optimizing DevOps practices. This specialized program focuses on bridging the gap between data science methodologies and agile development principles.


Learning outcomes include mastering CI/CD pipelines for data science projects, implementing infrastructure as code (IaC) for data environments, and effectively mentoring teams on best practices in version control, automation, and monitoring. Graduates will be proficient in tools like Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP) within a data science context.


The program's duration is typically structured as a flexible, part-time commitment, often spanning several months, accommodating the schedules of working professionals. The exact length can vary depending on the specific provider and course intensity.


This certification holds significant industry relevance, addressing the growing demand for skilled DevOps mentors who understand the unique challenges of data science workflows. Data scientists increasingly need guidance on deploying and maintaining their models in production environments, making this DevOps mentoring expertise highly sought after in organizations across various sectors. This makes it a valuable asset for career advancement in data engineering, cloud computing, and machine learning operations (MLOps).


The program fosters practical, hands-on learning through real-world case studies and projects, ensuring graduates possess the necessary skills to immediately contribute to their organizations' data science initiatives. A strong focus on collaborative learning and mentorship further enhances the overall learning experience.

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Why this course?

Advanced Certificate in DevOps Mentoring for Data Science is increasingly significant in the UK's burgeoning tech sector. The demand for skilled data scientists proficient in DevOps practices is rapidly growing. A recent report by the UK Government's Office for National Statistics suggests a 25% increase in data science roles requiring DevOps expertise over the last two years.

Year DevOps-skilled Data Scientists (Thousands)
2021 15
2022 18.75
2023 (Projected) 23.44

This DevOps mentoring certificate bridges the gap between data science and efficient deployment, directly addressing the needs of modern businesses. Acquiring these skills enhances employability and positions individuals for higher-earning roles. The integration of CI/CD pipelines and cloud infrastructure management within data science workflows is now essential, making this certification invaluable for career advancement.

Who should enrol in Advanced Certificate in DevOps Mentoring for Data Science?

Ideal Candidate Profile Skills & Experience Career Aspirations
Data Scientists seeking to enhance their software development lifecycle (SDLC) skills. Proficiency in Python or R; experience with data pipelines and cloud platforms (AWS, Azure, GCP); basic understanding of CI/CD. Lead and mentor data science teams in implementing efficient DevOps practices; improve collaboration between data scientists and engineering; transition to more senior roles such as Data Engineering Manager or Principal Data Scientist.
Experienced software engineers transitioning into data science, aiming for DevOps expertise. Strong software engineering background; familiarity with Agile methodologies; experience with version control (Git). Apply their software expertise to data science projects; accelerate data science deployment and delivery; become a highly sought-after data engineering specialist. (UK average salary for Data Engineers is £60k-£80k).
Data professionals looking to upskill and boost their marketability. Background in data analysis or related fields; desire to learn new technologies and improve operational efficiency. Increase career prospects and earning potential within the competitive UK data science market; transition into high-demand roles in cloud-based data solutions. (Demand for DevOps engineers in UK projected to grow 30% in next 5 years*).

*Source: [Insert credible source for UK statistic]