Certificate in Edge AI and Smart City Automation

Name: Certificate in Edge AI and Smart City Automation
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The Certificate in Edge AI and Smart City Automation is a comprehensive course designed to meet the growing industry demand for experts in edge computing and smart city development. This course emphasizes the importance of leveraging AI and IoT technologies to create efficient, sustainable, and secure smart cities.

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AboutThisCourse

By enrolling in this course, learners will gain essential skills in edge AI, machine learning, and data analytics, preparing them for exciting career opportunities in a rapidly evolving field. The course covers key topics such as edge computing architecture, smart city infrastructure, AI algorithms, and data management, providing a well-rounded understanding of this cutting-edge technology. With a focus on hands-on experience, learners will have the opportunity to work on real-world projects, gaining practical skills and experience that will set them apart in the job market. By completing this course, learners will be equipped with the skills and knowledge necessary to drive innovation and advance their careers in edge AI and smart city automation.

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CourseDetails

• Introduction to Edge AI & Smart City Automation
• Fundamentals of Artificial Intelligence (AI)
• Edge Computing and its Role in AI
• Smart City Infrastructure and Architecture
• Computer Vision and Image Processing in Edge AI
• Natural Language Processing (NLP) in Edge AI
• Machine Learning Algorithms for Edge AI
• IoT Sensors and Devices for Smart City Automation
• Data Analytics and Visualization in Smart Cities
• Security and Privacy in Edge AI and Smart City Automation

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EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
DedicationCompleteCourse

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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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FlexibleLearningPace

TwoThreeHoursPerWeek
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CERTIFICATE IN EDGE AI AND SMART CITY AUTOMATION

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London School of International Business (LSIB)

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05 May 2025

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