Executive Development Programme in AI-Powered Mobile App Personalization

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The Executive Development Programme in AI-Powered Mobile App Personalization is a certificate course that emphasizes the significance of artificial intelligence in creating personalized mobile app experiences. With the rapid growth of mobile technology and AI, there's an increasing demand for professionals who can leverage these tools to drive user engagement and business growth.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

This course equips learners with essential skills in AI-powered mobile app personalization, including data analysis, machine learning, and user experience design. By understanding user behavior and preferences, learners can create tailored app experiences that enhance customer satisfaction, increase retention, and drive revenue. The course also covers ethical considerations in AI, ensuring learners can navigate the complex landscape of data privacy and security. Upon completion, learners will be able to demonstrate their expertise in AI-powered mobile app personalization, positioning them for career advancement in this rapidly growing field. Whether you're a marketer, product manager, or developer, this course provides the knowledge and skills necessary to succeed in an AI-driven world.

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ใฉใ“ใ‹ใ‚‰ใงใ‚‚ๅญฆ็ฟ’

ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

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ใ„ใคใงใ‚‚้–‹ๅง‹

ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Introduction to AI-Powered Mobile App Personalization: Understanding the basics of AI, machine learning, and deep learning, and their role in mobile app personalization.
โ€ข Data Analysis for Personalization: Collecting, analyzing, and interpreting user data to deliver personalized experiences.
โ€ข User Segmentation and Targeting: Identifying user segments, creating targeted campaigns, and measuring their effectiveness.
โ€ข Predictive Analytics in Mobile Apps: Using predictive modeling and statistical analysis to anticipate user behavior and preferences.
โ€ข Natural Language Processing (NLP) for Mobile Apps: Implementing NLP techniques for voice recognition, text analysis, and sentiment analysis.
โ€ข Recommendation Engines: Developing and implementing recommendation algorithms to suggest relevant products, services, and content.
โ€ข Personalized Mobile App Design: Designing user interfaces that adapt to individual user preferences and behaviors.
โ€ข Privacy and Security in AI-Powered Personalization: Ensuring user data privacy and maintaining secure systems in mobile app personalization.
โ€ข Measurement and Evaluation of Personalization Strategies: Evaluating the success of personalization strategies and continuously refining them.
โ€ข Ethics in AI-Powered Mobile App Personalization: Examining ethical considerations in AI-powered mobile app personalization and ensuring responsible use of AI.

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

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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‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
EXECUTIVE DEVELOPMENT PROGRAMME IN AI-POWERED MOBILE APP PERSONALIZATION
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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