Executive Development Programme in Future-Ready Mobile AI

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The Executive Development Programme in Future-Ready Mobile AI is a certificate course designed to equip learners with essential skills for career advancement in the rapidly evolving AI industry. This program emphasizes the importance of Mobile AI, a cutting-edge technology that is revolutionizing various sectors, from healthcare to finance and beyond.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

With the increasing demand for AI professionals who can develop and implement Mobile AI solutions, this course offers a timely and relevant curriculum. It covers key topics such as machine learning algorithms, natural language processing, computer vision, and data analytics, among others. By completing this program, learners will gain a comprehensive understanding of Mobile AI and its applications, positioning them as industry leaders and innovators. In addition to technical skills, this course also focuses on developing soft skills such as communication, leadership, and strategic thinking. By fostering a well-rounded skill set, learners will be better equipped to drive business growth and success in an increasingly competitive marketplace.

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ใฉใ“ใ‹ใ‚‰ใงใ‚‚ๅญฆ็ฟ’

ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

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ๅฎŒไบ†ใพใง2ใƒถๆœˆ

้€ฑ2-3ๆ™‚้–“

ใ„ใคใงใ‚‚้–‹ๅง‹

ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Mobile AI Fundamentals: Understanding the basics of Artificial Intelligence and its application in mobile technology. This unit covers the essentials of machine learning, deep learning, and neural networks.

โ€ข Mobile Device Hardware for AI: This unit explores the hardware components of mobile devices that enable AI processing, such as GPUs, TPUs, and neural processing units (NPUs).

โ€ข AI Algorithms and Mobile Applications: This unit delves into the practical application of AI algorithms in mobile apps, including image recognition, natural language processing, and predictive analytics.

โ€ข Data Privacy and Security in Mobile AI: This unit covers the critical issues of data privacy and security in mobile AI, including data encryption, anonymization, and consent management.

โ€ข Ethics in Mobile AI: This unit explores the ethical considerations of mobile AI, including bias, fairness, transparency, and accountability.

โ€ข Future Trends in Mobile AI: This unit provides an overview of the emerging trends and future developments in mobile AI, including 5G, edge computing, and the Internet of Things (IoT).

โ€ข AI Development Tools and Frameworks for Mobile: This unit introduces the popular AI development tools and frameworks for mobile, such as TensorFlow Lite, Core ML, and Caffe2.

โ€ข Mobile AI Project Management: This unit covers project management best practices for mobile AI development, including agile methodologies, sprint planning, and risk management.

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ๅ…ฅๅญฆ่ฆไปถ

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  • ่‹ฑ่ชžใฎ็ฟ’็†Ÿๅบฆ
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ไบ‹ๅ‰ใฎๆญฃๅผใช่ณ‡ๆ ผใฏไธ่ฆใ€‚ใ‚ขใ‚ฏใ‚ปใ‚ทใƒ“ใƒชใƒ†ใ‚ฃใฎใŸใ‚ใซ่จญ่จˆใ•ใ‚ŒใŸใ‚ณใƒผใ‚นใ€‚

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  • ๆญฃๅผใช่ณ‡ๆ ผใฎ่ฃœๅฎŒ

ใ‚ณใƒผใ‚นใ‚’ๆญฃๅธธใซๅฎŒไบ†ใ™ใ‚‹ใจใ€ไฟฎไบ†่จผๆ˜Žๆ›ธใ‚’ๅ—ใ‘ๅ–ใ‚Šใพใ™ใ€‚

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ใ„ใคใ‚ณใƒผใ‚นใ‚’้–‹ๅง‹ใงใใพใ™ใ‹๏ผŸ

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่ฉณ็ดฐใชใ‚ณใƒผใ‚นๆƒ…ๅ ฑใ‚’ใŠ้€ใ‚Šใ—ใพใ™

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ใ“ใฎใ‚ณใƒผใ‚นใฎๆ”ฏๆ‰•ใ„ใฎใŸใ‚ใซไผš็คพ็”จใฎ่ซ‹ๆฑ‚ๆ›ธใ‚’ใƒชใ‚ฏใ‚จใ‚นใƒˆใ—ใฆใใ ใ•ใ„ใ€‚

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ใ‚ญใƒฃใƒชใ‚ข่จผๆ˜Žๆ›ธใ‚’ๅ–ๅพ—

ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
EXECUTIVE DEVELOPMENT PROGRAMME IN FUTURE-READY MOBILE AI
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
ใƒ–ใƒญใƒƒใ‚ฏใƒใ‚งใƒผใƒณID๏ผš s-1-a-2-m-3-p-4-l-5-e
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