Professional Certificate in DevOps Machine Learning

Tuesday, 16 September 2025 05:40:11

International applicants and their qualifications are accepted

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Overview

Overview

DevOps Machine Learning

is a professional certificate program designed for IT professionals and data scientists looking to bridge the gap between software development and data analysis.
Some of the key skills you'll learn include machine learning fundamentals, data preprocessing, model training, and deployment using popular tools like TensorFlow and Scikit-learn.
You'll also gain hands-on experience with containerization using Docker, continuous integration and delivery with Jenkins, and agile methodologies.
By the end of this program, you'll be able to design, develop, and deploy scalable machine learning models that drive business value.
Take the first step towards a career in DevOps Machine Learning and explore this exciting field further.

DevOps is the backbone of modern software development, and a Professional Certificate in DevOps Machine Learning can take your career to the next level. This comprehensive course combines the principles of DevOps with machine learning to enable you to design, build, and deploy scalable and efficient systems. By mastering DevOps machine learning, you'll gain hands-on experience with tools like TensorFlow, PyTorch, and Scikit-learn, as well as expertise in containerization, orchestration, and continuous integration. With this certificate, you'll enjoy DevOps career prospects in top tech companies, and a competitive salary to match.

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

• Containerization with Docker
• Cloud Computing with AWS
• Machine Learning Fundamentals
• Data Preprocessing and Feature Engineering
• Model Training and Hyperparameter Tuning
• Model Deployment and Monitoring
• Agile Development Methodologies
• Version Control with Git
• Automation with Ansible
• Data Visualization with Tableau

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

Key facts about Professional Certificate in DevOps Machine Learning

The Professional Certificate in DevOps Machine Learning is a comprehensive program designed to equip learners with the skills required to implement machine learning models in a DevOps environment.
This program focuses on teaching learners how to integrate machine learning into their existing DevOps workflows, enabling them to automate testing, deployment, and monitoring of machine learning models.
Upon completion of the program, learners will be able to apply machine learning concepts to real-world problems, leveraging tools such as TensorFlow, PyTorch, and scikit-learn.
The program's learning outcomes include the ability to design, develop, and deploy machine learning models, as well as to integrate these models into existing DevOps pipelines.
The duration of the program is approximately 12 weeks, with learners completing a series of online courses and projects to demonstrate their skills.
The Professional Certificate in DevOps Machine Learning is highly relevant to the industry, as companies are increasingly looking for professionals who can integrate machine learning into their DevOps practices.
Learners who complete the program will gain a competitive edge in the job market, with many employers seeking candidates with expertise in DevOps and machine learning.
The program's focus on practical skills and real-world applications makes it an attractive option for professionals looking to upskill or reskill in the field of DevOps and machine learning.
By completing the Professional Certificate in DevOps Machine Learning, learners can enhance their career prospects and stay ahead of the curve in the rapidly evolving field of DevOps and machine learning.

Why this course?

DevOps Machine Learning has become a highly sought-after skillset in today's market, with the UK being no exception. According to a report by the UK's Office for National Statistics, the demand for DevOps professionals is expected to increase by 22% by 2025, with machine learning playing a crucial role in this growth.
Year DevOps Professionals Machine Learning Professionals
2020 15,000 5,000
2025 18,000 7,000

Who should enrol in Professional Certificate in DevOps Machine Learning?

DevOps Machine Learning Ideal Audience
Data scientists and analysts in the UK are in high demand, with a projected growth rate of 14% by 2027 (Source: Office for National Statistics). Professionals with a strong foundation in programming languages such as Python, R, or SQL, and experience with machine learning frameworks like TensorFlow or PyTorch.
Business analysts and operations managers looking to bridge the gap between data analysis and deployment, with an understanding of Agile methodologies and cloud computing platforms like AWS or Azure. Individuals seeking to enhance their skills in automation, continuous integration, and continuous deployment, with a focus on improving efficiency and reducing costs.
IT professionals with experience in DevOps tools like Jenkins, Docker, or Kubernetes, and a basic understanding of machine learning concepts and algorithms. Those interested in pursuing a career in AI and machine learning, with a willingness to learn and adapt to new technologies and methodologies.

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