Global Certificate in IoT & Edge AI: Intelligent Edge Computing

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The Global Certificate in IoT & Edge AI: Intelligent Edge Computing is a comprehensive course designed to empower learners with essential skills for the future. This program focuses on Internet of Things (IoT) and Edge Artificial Intelligence (Edge AI), two critical areas experiencing high industry demand.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

With the rapid growth of data and connected devices, organizations seek professionals who can leverage IoT and Edge AI technologies to drive innovation and improve business outcomes. This course equips learners with the skills to design, develop, and manage intelligent edge computing systems. By completing this course, learners will gain a competitive edge in the job market, with expertise in cutting-edge technologies that are revolutionizing industries worldwide. They will be able to apply their knowledge to a range of careers, including software engineering, data science, and systems architecture, ensuring long-term career success and growth.

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ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Unit 1: Introduction to IoT & Edge AI
โ€ข Unit 2: Fundamentals of Intelligent Edge Computing
โ€ข Unit 3: IoT Architecture & Protocols
โ€ข Unit 4: Edge AI Technologies & Applications
โ€ข Unit 5: Data Processing & Analysis at the Edge
โ€ข Unit 6: Security & Privacy in IoT & Edge AI
โ€ข Unit 7: Designing Intelligent Edge Solutions
โ€ข Unit 8: Implementing & Deploying Edge AI Systems
โ€ข Unit 9: Testing & Optimization of Edge AI Applications
โ€ข Unit 10: Future Trends & Challenges in Intelligent Edge Computing

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The Global Certificate in IoT & Edge AI: Intelligent Edge Computing program prepares you for a range of rewarding roles in the UK, such as Data Scientist, Embedded Systems Engineer, IoT Solution Architect, AI Engineer, and Cloud Architect. Data Scientist: In this role, you'll collect, process, and perform statistical analyses on large datasets. You'll also create machine learning algorithms to enable predictive models and generate data-driven insights. Embedded Systems Engineer: As an Embedded Systems Engineer, you'll design, develop, and maintain the hardware and software components of IoT devices and systems. This role requires a deep understanding of processors, microcontrollers, operating systems, and embedded software. IoT Solution Architect: In this position, you'll create and implement IoT architectures, integrating sensors, devices, and cloud platforms. You'll also design scalable, secure, and cost-effective solutions for various industries. AI Engineer: As an AI Engineer, you'll focus on designing, developing, and implementing machine learning and deep learning algorithms for IoT and edge computing applications. This role requires strong programming skills, knowledge of data modeling, and understanding of AI frameworks. Cloud Architect: In this role, you'll evaluate, plan, and design cloud infrastructure and services, enabling seamless integration of IoT devices and edge computing systems. You'll need expertise in cloud platforms, virtualization, and network security.

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ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
GLOBAL CERTIFICATE IN IOT & EDGE AI: INTELLIGENT EDGE COMPUTING
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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