Undergraduate Certificate in AI and Machine Learning in Cloud Computing

Sunday, 14 September 2025 12:46:02

International applicants and their qualifications are accepted

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Overview

Overview

Artificial Intelligence (AI) and Machine Learning (ML) in Cloud Computing


Develop the skills needed to design, build, and deploy AI and ML models in cloud-based environments with our Undergraduate Certificate in AI and Machine Learning in Cloud Computing.


Learn how to harness the power of cloud computing to accelerate AI and ML innovation, from data preparation to model deployment and monitoring.


Our program is designed for IT professionals, data scientists, and aspiring developers looking to upskill in AI and ML for cloud-based applications.


Gain hands-on experience with popular cloud platforms, including AWS, Azure, and Google Cloud, and explore emerging trends in AI and ML.


Enhance your career prospects in industries such as finance, healthcare, and retail, where AI and ML are transforming business operations.


Take the first step towards a career in AI and ML in cloud computing. Explore our program today and discover how you can drive innovation and growth in this exciting field.

Artificial Intelligence and Machine Learning in Cloud Computing is a cutting-edge course that equips students with the skills to design, develop, and deploy intelligent systems on cloud platforms. This AI and Machine Learning course offers a unique blend of theoretical foundations and practical applications, allowing students to build scalable and secure solutions. With Cloud Computing as the backbone, students will learn to harness the power of cloud-based AI and ML tools, enabling them to drive business innovation and growth. Upon completion, students can expect AI and Machine Learning career opportunities in various industries, with a strong focus on data science and analytics.

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


Cloud Computing Fundamentals •
Artificial Intelligence (AI) Principles •
Machine Learning (ML) Algorithms •
Deep Learning (DL) Techniques •
Natural Language Processing (NLP) •
Computer Vision (CV) Applications •
Reinforcement Learning (RL) Methods •
Cloud-Based AI and ML Services •
Data Preprocessing and Feature Engineering •
Cloud Security and Ethics in AI

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 Undergraduate Certificate in AI and Machine Learning in Cloud Computing

The Undergraduate Certificate in AI and Machine Learning in Cloud Computing is a specialized program designed to equip students with the skills and knowledge required to succeed in the rapidly growing field of artificial intelligence and machine learning in cloud computing. This program focuses on teaching students how to design, develop, and deploy AI and machine learning models in cloud-based environments, using popular platforms such as Amazon Web Services (AWS) and Microsoft Azure. Students will learn about cloud computing fundamentals, including virtualization, storage, and networking, as well as AI and machine learning concepts, including supervised and unsupervised learning, deep learning, and natural language processing. Upon completion of the program, students will be able to apply their knowledge and skills to real-world problems, such as image classification, natural language processing, and predictive analytics. They will also gain hands-on experience with popular AI and machine learning tools and technologies, including TensorFlow, PyTorch, and scikit-learn. The duration of the program is typically one year, with students completing a series of online courses and projects that culminate in a final capstone project. The program is designed to be flexible, with students able to complete coursework on their own schedule and at their own pace. The Undergraduate Certificate in AI and Machine Learning in Cloud Computing is highly relevant to the job market, with many employers seeking candidates with expertise in AI and machine learning. According to a report by Gartner, AI and machine learning spending is expected to reach $190 billion by 2025, making it a highly sought-after skillset.

Why this course?

Undergraduate Certificate in AI and Machine Learning in Cloud Computing has become increasingly significant in today's market, driven by the growing demand for cloud-based solutions. According to a report by the UK's Cloud Industry Forum, the cloud computing market in the UK is expected to reach £14.1 billion by 2025, growing at a CAGR of 13.4% from 2020 to 2025.
Year Cloud Computing Market Size (£ billion)
2020 6.4
2025 14.1

Who should enrol in Undergraduate Certificate in AI and Machine Learning in Cloud Computing?

Primary Keyword: AI Ideal Audience for Undergraduate Certificate in AI and Machine Learning in Cloud Computing
Age: Individuals aged 18-30, with a strong foundation in mathematics and computer science.
Background: Students who have completed A-levels in computer science, mathematics, or physics, or those with relevant work experience in the tech industry.
Career Goals: Aspiring data scientists, machine learning engineers, and cloud computing professionals seeking to upskill and reskill in the AI and machine learning field.
Location: UK-based students, with a focus on those from underrepresented groups in the tech industry.
Skills: Programming skills in Python, R, or Java, familiarity with cloud computing platforms such as AWS or Azure, and basic knowledge of machine learning algorithms.