Executive Certificate in Machine Learning Engineering for Data Science

Sunday, 14 September 2025 11:45:17

International applicants and their qualifications are accepted

Start Now     Viewbook

Overview

Overview

Machine Learning Engineering for Data Science


Develop the skills to design, build, and deploy scalable machine learning models that drive business value.


Machine Learning Engineering is a critical role in today's data-driven world. This Executive Certificate program is designed for data science professionals who want to transition into machine learning engineering.

Learn how to integrate machine learning models with data pipelines, deploy them on cloud platforms, and ensure model reliability and interpretability.


Gain hands-on experience with popular machine learning frameworks and tools, such as TensorFlow, PyTorch, and Scikit-learn.


Take your career to the next level by becoming a proficient machine learning engineer and unlocking new opportunities in data science.


Explore this program further and start building a successful career in machine learning engineering today.

Machine Learning Engineering is a highly sought-after skill in the data science industry, and our Executive Certificate program is designed to equip you with the expertise to succeed. By mastering Machine Learning Engineering, you'll gain the ability to design, develop, and deploy scalable and efficient machine learning models. With this certification, you'll enjoy career prospects in top tech companies, with median salaries ranging from $141,000 to $250,000. Our program features interactive projects, real-world case studies, and collaborative learning environments to ensure you're job-ready. Upon completion, you'll be able to drive business growth through data-driven insights and artificial intelligence solutions.

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

•
Machine Learning Fundamentals •
Supervised Learning •
Unsupervised Learning •
Deep Learning •
Natural Language Processing •
Computer Vision •
Reinforcement Learning •
Transfer Learning •
Model Evaluation Metrics •
Model Deployment Strategies

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.

Start Now

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.

Start Now

  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
  • Start Now
    •

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 Executive Certificate in Machine Learning Engineering for Data Science

The Executive Certificate in Machine Learning Engineering for Data Science is a specialized program designed to equip professionals with the skills needed to develop and deploy machine learning models in real-world applications.
This program focuses on the practical aspects of machine learning engineering, including data preprocessing, model training, and deployment, as well as the integration of machine learning with other data science tools and technologies.
Upon completion of the program, participants will have gained a deep understanding of machine learning engineering principles and be able to design, develop, and deploy scalable and efficient machine learning models.
The program's learning outcomes include the ability to apply machine learning algorithms to real-world problems, work with large datasets, and integrate machine learning with other data science tools and technologies such as data visualization, statistical modeling, and data mining.
The duration of the program is typically 6-12 months, depending on the institution and the participant's prior experience and background in data science and machine learning.
The Executive Certificate in Machine Learning Engineering for Data Science is highly relevant to the industry, as machine learning is becoming increasingly important in many fields, including healthcare, finance, marketing, and more.
Many companies are looking for professionals who have expertise in machine learning engineering, and this program can provide participants with the skills and knowledge needed to succeed in this field.
The program's curriculum is designed to be flexible and can be tailored to meet the needs of participants from a variety of backgrounds and industries, making it an excellent option for those looking to transition into a career in machine learning engineering.
Upon completion of the program, participants will be able to apply for senior roles in data science and machine learning engineering, such as machine learning engineer, data scientist, or lead data engineer.
The Executive Certificate in Machine Learning Engineering for Data Science is a valuable investment for professionals looking to advance their careers in data science and machine learning engineering, and can provide a significant return on investment in terms of increased earning potential and career advancement opportunities.

Why this course?

Executive Certificate in Machine Learning Engineering is a highly sought-after credential in today's data science market, particularly in the UK. According to a recent survey by the UK's Data Science Council of America (DASCA), the demand for machine learning engineers is expected to grow by 34% by 2025, outpacing the national average.
Year Growth Rate
2020 20%
2021 25%
2022 30%
2023 34%
2024 40%
2025 45%

Who should enrol in Executive Certificate in Machine Learning Engineering for Data Science?

Machine Learning Engineering for Data Science is ideal for professionals and individuals seeking to upskill in the field of artificial intelligence and data science, particularly those working in the UK.
Key characteristics of the ideal audience include: - Proficiency in programming languages such as Python, R, or SQL, with a focus on machine learning libraries like TensorFlow, PyTorch, or scikit-learn.
- Experience with data analysis and visualization tools, including Tableau, Power BI, or D3.js. - Familiarity with cloud-based platforms like AWS, Azure, or Google Cloud, and containerization using Docker.
- A strong understanding of statistical concepts, including regression, classification, clustering, and dimensionality reduction. - The ability to communicate complex ideas effectively, both verbally and in writing, to both technical and non-technical stakeholders.
- In the UK, the demand for machine learning engineers is on the rise, with the Royal Society of Arts predicting a 13% increase in employment opportunities by 2025. - By acquiring the skills and knowledge required for this Executive Certificate, individuals can enhance their career prospects and contribute to the growth of the UK's thriving data science industry.