Certificate in AI and Edge Computing in Networking

Tuesday, 16 September 2025 09:57:18

International applicants and their qualifications are accepted

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Overview

Overview

Artificial Intelligence (AI) and Edge Computing in Networking

is a rapidly evolving field that combines the power of AI with the efficiency of edge computing. This Certificate program is designed for IT professionals and network administrators who want to stay ahead of the curve.

By learning about AI and Edge Computing, you'll gain a deeper understanding of how to design, implement, and manage AI-powered networks that are faster, more secure, and more efficient.

Some key topics covered in this program include machine learning, deep learning, natural language processing, and computer vision, as well as edge computing concepts such as edge gateways, edge servers, and edge storage.

With this Certificate, you'll be able to analyze data in real-time, make informed decisions, and automate tasks to improve network performance and security.

Don't miss out on this opportunity to upskill and reskill in the field of AI and Edge Computing in Networking. Explore this Certificate program today and take the first step towards a brighter future in the world of technology.

AI and Edge Computing in Networking is a cutting-edge course that revolutionizes the way we approach network management. By combining AI and Edge Computing, this course equips you with the skills to design, deploy, and manage intelligent networks that are faster, more secure, and more efficient. With AI and Edge Computing, you'll gain a competitive edge in the job market, with career prospects in top tech companies. Unique features of the course include hands-on experience with AI-powered network management tools, real-world case studies, and expert guidance from industry professionals. Unlock your potential in AI and Edge Computing today.

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

•
• Artificial Intelligence (AI) Fundamentals •
• Machine Learning (ML) for Networking •
• Edge Computing Architecture •
• Network Function Virtualization (NFV) •
• Software-Defined Networking (SDN) •
• Internet of Things (IoT) Security •
• Edge Computing Security •
• 5G Network Architecture •
• Network Slicing and Orchestration •
• Edge Computing for 5G

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 Certificate in AI and Edge Computing in Networking

The Certificate in AI and Edge Computing in Networking is a specialized program designed to equip students with the knowledge and skills required to design, implement, and manage AI and edge computing systems in networking environments. This program focuses on the intersection of artificial intelligence (AI), edge computing, and networking, providing students with a comprehensive understanding of how these technologies can be used to improve network performance, security, and efficiency. By the end of the program, students will be able to analyze complex networking problems, design and implement AI and edge computing solutions, and deploy them in real-world scenarios. The duration of the Certificate in AI and Edge Computing in Networking is typically 6-12 months, depending on the institution and the student's prior experience. The program is designed to be flexible, allowing students to complete it on a part-time or full-time basis. Industry relevance is a key aspect of this program, as the demand for professionals with expertise in AI and edge computing is growing rapidly. Companies across various industries, including telecommunications, finance, healthcare, and manufacturing, are looking for professionals who can design and implement AI and edge computing systems that can improve their network performance, security, and efficiency. Upon completion of the program, students will have the skills and knowledge required to pursue a career in AI and edge computing in networking, and will be able to work as a network engineer, AI engineer, or edge computing specialist. They will also be able to work in various roles, such as network architect, cybersecurity specialist, or data analytics specialist. The Certificate in AI and Edge Computing in Networking is offered by various institutions, including universities, colleges, and online training providers. The program is designed to be accessible to students with varying levels of prior experience, and is typically priced between $5,000 and $20,000, depending on the institution and the duration of the program. Overall, the Certificate in AI and Edge Computing in Networking is a valuable program that provides students with the knowledge and skills required to succeed in this rapidly growing field.

Why this course?

Certificate in AI and Edge Computing in Networking: A Growing Demand in the UK Market The UK's digital transformation is driving the demand for professionals with expertise in Artificial Intelligence (AI) and Edge Computing in Networking. According to a report by the Centre for Economics and Business Research, the UK's AI market is expected to reach £1.1 billion by 2025, growing at a CAGR of 21.3% (Google Charts 3D Column Chart, see below). UK AI and Edge Computing Market Size (2020-2025)
Year Market Size (£ billion)
2020 0.3
2023 0.6
2025 1.1
The growth of the UK's AI and Edge Computing market is driven by the increasing adoption of IoT devices, 5G networks, and cloud computing. A survey by the UK's Institute of Engineering and Technology found that 71% of respondents believed that AI and Edge Computing would have a significant impact on the UK's economy by 2025 (Google Charts 3D Column Chart, see below). UK AI and Edge Computing Survey Results

Who should enrol in Certificate in AI and Edge Computing in Networking?

Ideal Audience for Certificate in AI and Edge Computing in Networking Professionals and individuals interested in the rapidly growing field of AI and edge computing, particularly those working in networking, IT, and cybersecurity, are the primary target audience for this certificate.
Key Characteristics The ideal candidate should have a basic understanding of networking concepts, be familiar with Linux operating systems, and possess analytical and problem-solving skills. In the UK, the average salary for a network engineer is around £45,000 per annum, with experienced professionals earning up to £80,000.
Prerequisites No prior experience is required, but a strong foundation in networking fundamentals, such as TCP/IP, DNS, and routing, is beneficial. The certificate is designed to be accessible to those new to the field, with flexible learning options to accommodate different schedules and learning styles.
Career Opportunities Upon completion of the certificate, graduates can pursue various career paths, including network engineer, cybersecurity specialist, data analyst, and AI/edge computing consultant. In the UK, the demand for skilled professionals in these areas is expected to continue growing, with the National Cyber Security Centre predicting a shortage of over 200,000 cyber security professionals by 2025.