Professional Certificate in DevOps Machine Learning

Professional Certificate in DevOps Machine Learning

Monday, 09 November 2026 10:42:26

International applicants and their qualifications are accepted

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Quick answer

This Professional Certificate in DevOps Machine Learning is designed for professionals looking to integrate machine learning into their DevOps workflows. Delivered 100% online by LSIB, this intensive one-month course equips you with the skills needed to enhance automation and efficiency in software development processes. Enrol now to stay ahead in a competitive tech landscape.

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Overview

Overview

The Professional Certificate in DevOps Machine Learning course equips technology professionals with advanced Level 6 with essential DevOps and MLOps skills for the UK job market. This programme bridges the gap between traditional software development and modern data science, enabling you to automate machine learning model deployments efficiently and reliably within cloud environments.

This fully online qualification delivers industry-relevant training through core modules including Machine Learning Fundamentals, DevOps Principles, and MLOps Pipelines. You will master Cloud Infrastructure and Model Deployment techniques while mastering Continuous Integration practices. The curriculum focuses on building automated pipelines for real-world data science applications, ensuring you can manage the entire lifecycle of AI models from development to production without manual intervention.

Assessment is practical, requiring you to submit technical projects and written reports that demonstrate your ability to solve complex engineering challenges. Graduates are well-prepared for high-demand roles such as ML Engineer or DevOps Specialist in leading tech sectors. As a regulated Ofqual award, this certificate ensures industry recognition and provides a clear progression route for data analysts and software engineers seeking to advance their careers in data engineering today.

Content updated: 19 October 2026

The Professional Certificate in DevOps Machine Learning course equips IT professionals with the skills to deploy and manage machine learning models at scale. This Level 6 qualification bridges the gap between data science and operations for software engineers.

Level6
DurationTypically 12 months
Study mode100% online flexible distance learning
AssessmentPractical projects and written technical reports
Entry requirementsRelevant IT experience or related degree
Awarding bodyUK Ofqual-regulated awarding organisation

What You Will Learn

You will master the end-to-end lifecycle of machine learning systems in production environments. The curriculum focuses on automation, infrastructure as code and robust model deployment strategies. Students gain hands-on experience with industry-standard tools and frameworks.

  • Machine Learning Fundamentals
  • DevOps Principles
  • MLOps Pipelines
  • Cloud Infrastructure
  • Model Deployment
  • Continuous Integration

Course Structure and Modules

This Professional Certificate in DevOps Machine Learning follows a modular design that builds complexity gradually. Each unit connects theoretical concepts with practical application in real-world scenarios. Learners progress from basic coding principles to advanced orchestration techniques.

  • Implement automated testing workflows
  • Manage containerised applications
  • Configure cloud-native services
  • Optimise model performance
  • Ensure data security compliance

Delivery and Duration

The programme runs entirely online, allowing students to study from anywhere in the UK or abroad. You can complete the course in 12 months full-time or extend the period for part-time study. This flexible distance learning approach supports working professionals who need to balance commitments.

Assessment

Assessment methods prioritise practical competence over rote memorisation. You will demonstrate your skills through applied projects that mirror industry challenges. Written technical reports accompany these projects to document your decision-making process and results.

  • Practical coding projects
  • Technical documentation
  • System architecture diagrams
  • Peer code reviews
  • Final capstone project

Entry Requirements

Candidates need a solid foundation in information technology or a related academic background. Relevant professional experience in software development or data analysis satisfies the entry criteria. We welcome applicants who demonstrate strong problem-solving abilities and technical curiosity.

Progression

Graduates can advance to an MSc in Artificial Intelligence to deepen their theoretical knowledge. The qualification also opens doors to senior technical roles in high-growth sectors. Employers value candidates who understand both data science and operational stability.

  • ML Engineer
  • DevOps Specialist
  • Data Platform Architect
  • Cloud Solutions Engineer

Is this DevOps Machine Learning course recognised in the UK?

Yes, the awarding body is regulated by Ofqual. This ensures the qualification meets national standards for higher education.

Explore detailed insights below to plan your career progression.

Where the learning focuses
Relative emphasis across the Professional Certificate in DevOps Machine Learning programme (indicative score out of 100)
Professional practice
84
Core subject knowledge
82
Leadership and communication
65
Career readiness
64
Applied practical skills
57
Analysis and research
56
What graduates typically go on to do
Indicative share of learners by next step after completing the course
Move into a new sector
51%
Start or grow a business
49%
Further study or research
47%
Progress into a senior role
35%
Specialist or consultant role
20%

Figures are indicative and shown for illustration. Source: LSIB course insights.

Entry requirements

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

  • Professional Certificate in DevOps Machine Learning course UK
  • Machine Learning Fundamentals: Build predictive models using Python libraries
  • DevOps Principles: Automate infrastructure with Git and Docker
  • MLOps Pipelines: Streamline data workflows for reliable models
  • Cloud Infrastructure: Deploy scalable resources on AWS platforms
  • Model Deployment: Launch robust services via containerised applications
  • Continuous Integration: Automate testing for seamless code delivery

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

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

A Professional Certificate in DevOps Machine Learning course prepares you for roles as an ML Engineer, DevOps Specialist, or Data Platform Architect within the technology and finance sectors. You gain the practical skills needed to deploy scalable models and automate infrastructure.

Roles you could step into

  • ML Engineer — Build and deploy predictive models
  • DevOps Specialist — Automate software delivery pipelines
  • Data Platform Architect — Design robust data systems
  • MLOps Engineer — Manage machine learning lifecycle
  • Cloud Infrastructure Analyst — Optimise cloud resource usage
  • Site Reliability Engineer — Ensure system uptime

Where you could work

Financial services firms, tech start-ups, e-commerce giants, healthcare providers, government agencies, and consulting consultancies hire these specialists.

How your career can grow

  • First role: Junior engineer handling basic deployments
  • Within a few years: Senior developer leading projects
  • Senior level: Head of DevOps or principal architect

Further study options include an MSc in Artificial Intelligence. This Level 6 qualification signals expertise to employers. Careers after Professional Certificate in DevOps Machine Learning often involve competitive salaries and rapid advancement. You demonstrate proficiency in continuous integration and model deployment.

Is this qualification recognised by UK employers?

Yes, it is Ofqual-regulated and matches industry skill demands.

Explore the course details to start your technical career today.

Key facts about Professional Certificate in DevOps Machine Learning

Course: Professional Certificate in DevOps Machine Learning
Level: RQF Level 6 undergraduate equivalent
Duration: Typically 12 months full-time or part-time
Study mode: 100% online flexible distance learning
Assessment: Practical projects and written technical reports
Entry requirements: Relevant IT experience or related degree
Awarding body: UK Ofqual-regulated awarding organisation
Progression: MSc Artificial Intelligence or ML Engineer roles

Why this course?

The Professional Certificate in DevOps Machine Learning course UK delivers MLOps expertise at Level 6. Software engineers and data analysts gain the skills to deploy models at scale.

This online DevOps ML qualification bridges the gap between development and operations. You learn to build robust pipelines for real-world applications. The curriculum covers essential technical domains without unnecessary theory.

  • Flexible study — learn entirely online from any location.
  • Industry relevance — master MLOps pipelines and cloud infrastructure.
  • Expert guidance — receive support from qualified technical tutors.
  • Practical focus — assess via projects and technical reports.
  • Career boost — qualify for ML Engineer and DevOps roles.
  • Progression route — advance to an MSc in Artificial Intelligence.

Course Details
Level: 6
Duration: Typically 12 months
Mode: 100% online
Assessment: Practical projects and written reports
Units: Machine Learning Fundamentals, DevOps Principles, MLOps Pipelines, Cloud Infrastructure, Model Deployment, Continuous Integration

Is the Professional Certificate in DevOps Machine Learning worth it? Yes, it provides recognised, level 6 skills that employers actively seek. The course aligns with current industry demands for automated deployment. You gain employability through hands-on experience with integration and deployment.

Many candidates ask if this certification is recognised in the UK. This awarding body is Ofqual-regulated, ensuring national recognition. It meets the standards expected by top technology firms. You will understand how to maintain complex data platforms effectively.

The content prepares you for roles such as Data Platform Architect. It strengthens your portfolio with tangible technical achievements.

Who should enrol in Professional Certificate in DevOps Machine Learning?

The Professional Certificate in DevOps Machine Learning course suits software engineers and data analysts seeking to automate model deployment.

This Level 6 qualification bridges the gap between data science and operations. It delivers practical skills for modern cloud infrastructure.

  • Software engineers looking to automate ML pipelines
  • Data analysts aiming to deploy models at scale
  • IT professionals seeking MLOps and cloud skills
  • Developers wanting to integrate CI/CD practices
  • Analysts targeting roles as ML Engineers
  • Practitioners preparing for DevOps Specialist positions

Who is this course not for?

This programme requires relevant IT experience or a related degree. It is not designed for complete beginners in computing.

Check your suitability against the entry requirements listed below.

Entry requirements: Relevant IT experience or related degree
Level: Level 6 (undergraduate degree level)
Study mode: 100% online flexible distance learning