Undergraduate Certificate in Machine Learning Techniques for AI

Friday, 13 February 2026 16:57:27

International applicants and their qualifications are accepted

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Overview

Overview

Machine Learning Techniques for AI

Develop the skills to build intelligent systems with our Undergraduate Certificate in Machine Learning Techniques for AI.


Designed for data science enthusiasts and AI professionals, this program covers the fundamentals of machine learning, including supervised and unsupervised learning, neural networks, and deep learning.


Learn to apply machine learning techniques to real-world problems, such as image classification, natural language processing, and predictive analytics.


Gain hands-on experience with popular machine learning frameworks and tools, including Python, R, and TensorFlow.


Enhance your career prospects in industries like healthcare, finance, and technology.


Take the first step towards a career in machine learning. Explore our program today and discover how you can apply machine learning techniques to drive business success.

Machine Learning is revolutionizing the way we approach artificial intelligence, and this Undergraduate Certificate course is designed to equip you with the skills to harness its power. By mastering machine learning techniques, you'll gain a competitive edge in the job market and unlock a world of career opportunities in AI, data science, and beyond. This course offers machine learning techniques, data analysis, and programming skills, making it an ideal starting point for beginners and professionals alike. With a focus on practical applications, you'll learn from industry experts and work on real-world projects, ensuring you're job-ready upon completion.

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

•
Supervised Learning Fundamentals •
Unsupervised Learning Techniques •
Deep Learning Architectures •
Natural Language Processing (NLP) for Text Analysis •
Computer Vision Fundamentals •
Reinforcement Learning Principles •
Machine Learning Model Evaluation Metrics •
Transfer Learning and Domain Adaptation •
Ethics and Fairness in AI Systems •
Machine Learning Project Development and Deployment

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 Techniques for AI

The Undergraduate Certificate in Machine Learning Techniques for AI is a specialized program designed to equip students with the fundamental knowledge and skills required to work with machine learning algorithms and techniques in the field of Artificial Intelligence. This certificate program is typically offered over a period of 6-12 months, depending on the institution and the student's prior experience and academic background. Students can expect to spend around 12-18 hours per week studying and completing coursework, assignments, and projects. Upon completion of the program, students will have gained a solid understanding of machine learning concepts, including supervised and unsupervised learning, neural networks, deep learning, and natural language processing. They will also have developed practical skills in programming languages such as Python, R, or Julia, and experience with popular machine learning frameworks and tools. The Undergraduate Certificate in Machine Learning Techniques for AI is highly relevant to the current job market, with many industries, including finance, healthcare, and retail, relying heavily on machine learning and AI technologies. Graduates of this program can expect to find employment opportunities in data science, business intelligence, and software development, among other fields. The program is designed to be flexible and accessible, with online and part-time options available to accommodate students with work or family commitments. The curriculum is also designed to be industry-relevant, with guest lectures and projects that simulate real-world scenarios and challenges. Overall, the Undergraduate Certificate in Machine Learning Techniques for AI is an excellent choice for students looking to launch a career in AI and machine learning, or for those looking to upskill and reskill in this rapidly evolving field.

Why this course?

Machine Learning Techniques for AI are in high demand in today's market, with the UK being no exception. According to a report by the Centre for Economics and Business Research, the AI market in the UK is expected to reach £1.4 billion by 2025, growing at a CAGR of 21.3%. This growth is driven by the increasing adoption of machine learning techniques in various industries, including healthcare, finance, and retail.
Industry Number of Jobs
Healthcare 2,400
Finance 1,800
Retail 1,200

Who should enrol in Undergraduate Certificate in Machine Learning Techniques for AI?

Machine Learning Techniques for AI Ideal Audience
Recent graduates in Computer Science, Information Technology, or related fields Individuals with a strong foundation in mathematics and programming, looking to enhance their skills in data analysis, pattern recognition, and predictive modeling.
Professionals seeking to upskill in AI and machine learning, particularly in the UK According to a report by the Royal Society of Arts, 75% of UK businesses believe that AI will have a significant impact on their operations by 2025. This course is designed to equip learners with the necessary skills to stay competitive in the job market.
Data analysts, business analysts, and operations researchers These professionals can apply machine learning techniques to drive business growth, improve decision-making, and optimize processes. The course covers a range of topics, including supervised and unsupervised learning, neural networks, and deep learning.