Certificate Programme in DevOps for Machine Learning

Wednesday, 30 July 2025 18:50:31

International applicants and their qualifications are accepted

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Overview

Overview

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DevOps for Machine Learning is a certificate program designed for data scientists, machine learning engineers, and IT professionals.


This program bridges the gap between data science and IT operations. You'll master CI/CD pipelines for ML models.


Learn about containerization (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP). The DevOps for Machine Learning curriculum emphasizes automation and scalability.


Gain practical skills in monitoring, logging, and infrastructure as code (IaC). This DevOps for Machine Learning certificate boosts your career prospects significantly.


Explore the program today and transform your ML workflow!

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DevOps for Machine Learning: This certificate program accelerates your career in MLOps. Master crucial skills in CI/CD for machine learning models, cloud infrastructure management, and containerization (Docker, Kubernetes). Gain hands-on experience with automation tools and best practices for deploying and scaling ML systems. Boost your employability with in-demand expertise. Our unique curriculum blends theoretical knowledge with practical projects, preparing you for roles as MLOps Engineer, Data Scientist, or DevOps Engineer. Secure your future in the exciting intersection of AI and DevOps.

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

• Introduction to DevOps Principles and Practices
• Infrastructure as Code (IaC) for Machine Learning
• CI/CD Pipelines for Machine Learning Model Deployment
• Containerization and Orchestration (Docker, Kubernetes) for ML
• Monitoring and Logging of Machine Learning Systems
• Version Control and Collaboration (Git) for Machine Learning Projects
• Machine Learning Model Deployment Strategies
• Security Best Practices in 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

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 Opportunities in UK DevOps for Machine Learning

DevOps Engineer (Machine Learning)

Design, implement, and maintain CI/CD pipelines for ML models. Focus on automation, scalability, and reliability. High demand in UK tech.

MLOps Engineer

Bridge the gap between data science and IT operations. Manage ML model deployment, monitoring, and lifecycle. Excellent career progression in the UK.

Cloud DevOps Engineer (AI/ML)

Specialise in deploying and managing ML workloads on cloud platforms like AWS, Azure, or GCP. Strong cloud skills are highly sought after in the UK.

Data Scientist with DevOps Skills

Combines data science expertise with DevOps practices for efficient model development and deployment. Growing demand across various UK industries.

AI/ML Platform Engineer

Build and maintain platforms for developing, deploying, and managing AI/ML models. Requires expertise in containerisation and orchestration.

Key facts about Certificate Programme in DevOps for Machine Learning

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A Certificate Programme in DevOps for Machine Learning empowers participants to streamline the machine learning lifecycle. This program bridges the gap between data science and IT operations, equipping learners with crucial skills for efficient model deployment and management.


Learning outcomes include mastering CI/CD pipelines for machine learning models, proficient use of containerization technologies like Docker and Kubernetes for scalable deployment, and managing infrastructure as code (IaC) using tools such as Terraform. Students will also gain experience with monitoring and logging systems essential for maintaining model performance and identifying potential issues.


The program's duration typically ranges from 8 to 12 weeks, depending on the institution and intensity of the course. The curriculum is designed to be highly practical, incorporating hands-on projects and real-world case studies. This ensures that graduates possess immediately applicable skills relevant to today's demanding job market.


Industry relevance is paramount. The demand for professionals skilled in DevOps for Machine Learning is rapidly increasing. Graduates of this certificate program are well-positioned for roles such as MLOps Engineer, Machine Learning Engineer, or DevOps Engineer with a focus on machine learning. The program provides a significant competitive edge in securing high-demand positions within the data science and artificial intelligence sectors.


This comprehensive DevOps for Machine Learning certificate provides a valuable pathway to advancement for professionals seeking to enhance their career prospects in the rapidly evolving field of AI and machine learning.

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Why this course?

Certificate Programme in DevOps for Machine Learning is increasingly significant in today's UK market. The rapid growth of AI and ML necessitates efficient deployment and management, driving demand for skilled professionals. A recent study showed a 30% year-on-year increase in DevOps Engineer roles requiring ML expertise. This highlights the crucial need for professionals proficient in both domains.

Year Growth Percentage
2022-2023 30%

DevOps for Machine Learning skills, such as CI/CD pipelines for ML models and containerization, are highly sought after. A Certificate Programme provides structured learning, enhancing employability within the UK's burgeoning tech sector. Acquiring these skills ensures professionals stay ahead in the competitive landscape.

Who should enrol in Certificate Programme in DevOps for Machine Learning?

Ideal Profile Skills & Experience Career Aspirations
Data Scientists & Machine Learning Engineers Experience with Python, ML frameworks (TensorFlow, PyTorch), and cloud platforms (AWS, Azure, GCP). Seeking to improve CI/CD pipelines for ML model deployment. Become a more efficient and effective Machine Learning Engineer, accelerating the deployment of models and improving team productivity. Potentially increase their salary by an average of £5,000-10,000 (UK average for DevOps-skilled roles).
Software Engineers & Developers Strong software engineering background; interested in learning to apply DevOps principles to machine learning projects. Familiarity with Git and containerization technologies beneficial. Transition into a specialized role in MLOps; enhance their skillset and marketability within the rapidly growing UK tech industry (over 1.7 million employed in the Digital sector).
DevOps Engineers Experience in DevOps practices; seeking to extend their expertise to encompass machine learning workflows. Experience with infrastructure as code and automation tools. Expand their career prospects by mastering MLOps best practices; contribute to a high-demand area within the UK IT market.