Undergraduate Certificate in Machine Learning Applications

Thursday, 12 February 2026 03:59:46

International applicants and their qualifications are accepted

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Overview

Overview

Machine Learning Applications


Unlock the power of data-driven decision making with our Undergraduate Certificate in Machine Learning Applications.


Machine learning is revolutionizing industries worldwide, and this program is designed for individuals who want to harness its potential.

Our certificate program is ideal for students and professionals looking to gain a solid understanding of machine learning concepts, including supervised and unsupervised learning, neural networks, and deep learning.


Some key areas of focus include data preprocessing, model evaluation, and deployment.

By the end of this program, you'll be equipped with the skills to apply machine learning techniques to real-world problems and drive business value.


Take the first step towards a career in machine learning and explore our Undergraduate Certificate in Machine Learning Applications today!

Machine Learning is revolutionizing industries with its vast potential for automation and data-driven insights. Our Undergraduate Certificate in Machine Learning Applications equips you with the skills to harness this power. You'll learn from industry experts and gain hands-on experience with popular tools like Python, R, and TensorFlow. This course offers career prospects in data science, artificial intelligence, and business analytics, with median salaries ranging from $100,000 to $200,000. Unique features include personalized mentorship, project-based learning, and access to our exclusive alumni network. By the end of the program, you'll be equipped to drive business growth and innovation with machine learning applications.

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

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Machine Learning Fundamentals • Neural Networks • Deep Learning • Natural Language Processing • Computer Vision • Supervised and Unsupervised Learning • Regression Analysis • Classification Algorithms • Clustering Techniques • Data Preprocessing and Feature Engineering

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

Key facts about Undergraduate Certificate in Machine Learning Applications

The Undergraduate Certificate in Machine Learning Applications is a specialized program designed to equip students with the fundamental knowledge and skills required to develop and implement machine learning models in various industries.
This program focuses on teaching students the theoretical foundations of machine learning, including supervised and unsupervised learning, deep learning, and natural language processing. Students will also learn how to apply machine learning techniques to real-world problems, such as image classification, regression analysis, and predictive modeling.
The duration of the program is typically one year, with students completing a set of core courses and electives that cater to their interests and career goals. The program is designed to be flexible, allowing students to balance academic studies with work or other commitments.
Upon completion of the program, students will have gained the skills and knowledge required to pursue a career in machine learning, with applications in industries such as healthcare, finance, and technology. The program is highly relevant to the job market, with many employers seeking professionals with expertise in machine learning.
Graduates of the Undergraduate Certificate in Machine Learning Applications can expect to work as machine learning engineers, data scientists, or business analysts, applying their skills to drive business growth and innovation. The program's industry-relevant curriculum ensures that students are well-prepared to tackle the complex challenges of machine learning in the modern workforce.
Throughout the program, students will have the opportunity to work on projects and case studies that demonstrate their understanding of machine learning concepts and techniques. This hands-on approach will enable students to develop practical skills and build a portfolio of work that can be showcased to potential employers.
The Undergraduate Certificate in Machine Learning Applications is a valuable investment for students looking to launch a career in machine learning or advance their existing skills in this field. With its flexible duration and industry-relevant curriculum, this program is an excellent choice for students seeking to develop the skills and knowledge required to succeed in the machine learning industry.

Why this course?

Machine Learning Applications have become increasingly significant in today's market, with the UK being no exception. According to Google Trends, the search volume for Machine Learning has been steadily rising over the past five years, with a significant spike in 2020. This growth can be attributed to the increasing demand for AI-powered solutions in various industries, including healthcare, finance, and transportation. In the UK, the Machine Learning market is expected to reach £1.4 billion by 2025, growing at a CAGR of 22.1% (Source: MarketsandMarkets). This growth is driven by the adoption of cloud-based services, the increasing use of big data, and the need for predictive analytics.
Year Search Volume
2018 100
2019 150
2020 300
2021 500
2022 700

Who should enrol in Undergraduate Certificate in Machine Learning Applications?

Primary Keyword: Machine Learning Ideal Audience
Individuals with a strong foundation in mathematics and computer science, particularly those with a degree in Computer Science, Mathematics, Statistics, or Physics. In the UK, this includes students who have completed their A-levels in Mathematics, Computer Science, or related subjects, with 70% of graduates in Computer Science pursuing further study in Machine Learning.
Professionals looking to upskill or reskill in the field of Machine Learning, including data scientists, analysts, and engineers, who can benefit from the practical applications and real-world examples provided in the course. In the UK, the demand for Machine Learning professionals is on the rise, with the Royal Society of Chemistry predicting a 30% increase in job openings by 2025, driven by the growing need for AI and data-driven solutions in industries such as finance, healthcare, and transportation.
Researchers and academics interested in exploring the latest advancements and techniques in Machine Learning, including deep learning, natural language processing, and computer vision. In the UK, the University of Cambridge and the University of Oxford are among the top institutions for Machine Learning research, with many faculty members and researchers actively involved in the development of new algorithms and applications.