Professional Certificate in Edge Computing for Smart Industrial Automation

Wednesday, 10 September 2025 08:24:52

International applicants and their qualifications are accepted

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Overview

Overview

Edge computing is transforming smart industrial automation. This Professional Certificate in Edge Computing for Smart Industrial Automation equips you with the skills to design, deploy, and manage edge computing solutions.


Learn about industrial IoT (IIoT), cloud computing integration, and cybersecurity in edge environments. The curriculum covers practical applications in manufacturing, energy, and logistics. Develop expertise in data acquisition, processing, and analysis at the edge.


This program is ideal for engineers, IT professionals, and anyone seeking to advance their career in edge computing. Gain a competitive edge in this rapidly growing field. Explore the program details and enroll today!

Edge computing is transforming smart industrial automation, and this Professional Certificate equips you for the future. Gain hands-on experience with real-world edge deployments, mastering IoT device integration and data analytics for industrial applications. This intensive program covers crucial aspects of edge computing architecture, cybersecurity, and cloud integration. Boost your career prospects with in-demand skills, securing roles in manufacturing, energy, or logistics. Edge computing expertise sets you apart. Land your dream job with this practical and impactful professional certificate.

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

• Introduction to Edge Computing and its Applications in Industrial Automation
• Industrial IoT (IIoT) Protocols and Communication Networks for Edge Devices
• Edge Computing Hardware and Software Architectures for Smart Factories
• Data Acquisition, Processing, and Analytics at the Edge
• Security and Safety in Edge Computing for Industrial Environments
• Cloud Integration and Hybrid Cloud Strategies for Industrial Edge Deployments
• AI and Machine Learning Algorithms for Edge-based Industrial Applications
• Implementing and Managing Edge Computing Systems in Industrial Settings
• Case Studies and Best Practices in Industrial Edge Computing

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

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Career Role (Edge Computing & Smart Industrial Automation) Description
Edge Computing Engineer Develops and maintains edge computing infrastructure for industrial automation systems, focusing on low-latency data processing and real-time analytics. Key skills include IoT device integration, cloud connectivity, and cybersecurity.
Industrial Automation Specialist (Edge) Specializes in implementing and managing edge computing solutions within industrial settings, ensuring seamless integration with existing automation systems. Expertise in PLC programming, SCADA, and edge device management is crucial.
Data Scientist (Edge Analytics) Develops advanced analytics models using data from edge devices to optimize industrial processes and predict equipment failures. Requires strong programming skills (Python, R), machine learning expertise, and understanding of industrial data streams.
Cybersecurity Analyst (Industrial IoT) Focuses on securing edge devices and networks within industrial control systems. Involves implementing security protocols, threat detection, and incident response related to edge computing environments in factories and plants.

Key facts about Professional Certificate in Edge Computing for Smart Industrial Automation

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A Professional Certificate in Edge Computing for Smart Industrial Automation equips professionals with the skills to design, deploy, and manage edge computing solutions within industrial settings. This program emphasizes practical application, bridging the gap between theoretical knowledge and real-world implementation.


Learning outcomes include a comprehensive understanding of edge computing architectures, data acquisition methods for IoT devices, secure communication protocols relevant to industrial automation (like MQTT and OPC UA), and efficient data processing techniques at the edge. Graduates will be proficient in implementing edge analytics and machine learning for predictive maintenance and process optimization.


The duration of the program typically spans several months, encompassing a blend of online coursework, hands-on labs utilizing industrial-grade simulation environments, and potentially, capstone projects involving real-world industrial datasets. The flexible learning format caters to working professionals.


This certificate holds significant industry relevance, addressing the growing demand for skilled professionals in the burgeoning field of Industry 4.0. Mastering edge computing is crucial for industrial automation, enabling faster response times, reduced latency, enhanced security, and improved operational efficiency. Graduates will be well-prepared for roles such as Edge Computing Engineer, IoT Developer, or Industrial Data Scientist within manufacturing, energy, and logistics sectors.


The curriculum incorporates cloud computing principles, industrial control systems (ICS) security, and big data analytics, further enhancing the value and applicability of this Professional Certificate in Edge Computing for Smart Industrial Automation.

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Why this course?

Professional Certificate in Edge Computing is rapidly gaining significance in the UK's Smart Industrial Automation sector. The UK's industrial automation market is booming, with a projected growth rate exceeding 10% annually, according to a recent report by [Insert Source Here]. This surge in adoption necessitates a skilled workforce proficient in edge computing technologies. The ability to process data at the source – the “edge” – offers real-time insights, improving efficiency and reducing latency, crucial for applications like predictive maintenance and real-time process optimization. This edge computing expertise is highly sought after, filling a critical gap in the current skills landscape. A recent survey by [Insert Source Here] indicated that over 70% of UK manufacturing firms struggle to find employees with sufficient knowledge of edge computing and related technologies. Obtaining a Professional Certificate in Edge Computing demonstrates a commitment to industry best practices, bridging this gap and boosting career prospects significantly.

Sector Projected Growth (%)
Manufacturing 12
Energy 15
Logistics 8

Who should enrol in Professional Certificate in Edge Computing for Smart Industrial Automation?

Ideal Candidate Profile Skills & Experience Career Goals
Engineering Professionals Experience with industrial automation systems, PLC programming, and IoT devices. Familiarity with cloud computing concepts is beneficial but not required. Advance their careers into specialized roles like Edge Computing Architect or Industrial IoT Engineer, leveraging skills in data analytics and real-time processing for improved operational efficiency in smart factories. According to UK government statistics, the demand for digitally skilled workers is rapidly increasing, offering excellent career prospects.
IT Professionals in Manufacturing Strong IT infrastructure background with experience in network management and cybersecurity. Understanding of industrial protocols like OPC UA is advantageous. Transition to roles focusing on the implementation and management of secure and efficient edge computing solutions within industrial environments, contributing to the UK's growing digital transformation in manufacturing.
University Graduates (STEM) Recent graduates with a degree in computer science, engineering, or related fields seeking to specialize in industrial automation and edge computing technologies. Gain a competitive edge in a high-demand sector, securing entry-level positions in cutting-edge technologies, significantly impacting their career trajectory and contributing to the UK's digital economy.