Advanced Certificate in Data-Driven AI Software Development

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The Advanced Certificate in Data-Driven AI Software Development is a comprehensive course designed to equip learners with essential skills for developing AI-powered software applications. This certification focuses on data-driven AI methods, bridging the gap between data science and software development.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

In today's data-centric world, there is a high demand for professionals who can build AI software that leverages big data to deliver actionable insights. This course is designed to meet this industry need, teaching learners how to design, implement, and maintain AI software systems using popular tools and frameworks. By completing this course, learners will gain hands-on experience with machine learning algorithms, deep learning techniques, and natural language processing. They will also learn how to work with big data frameworks such as Apache Spark and Hadoop. These skills are highly valued in industries such as finance, healthcare, and technology, providing learners with a clear pathway to career advancement.

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ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

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ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Advanced Machine Learning Algorithms: exploration of various advanced machine learning algorithms such as deep learning, ensemble methods, and reinforcement learning.
โ€ข Data Visualization and Interpretation: utilization of data visualization tools and techniques to interpret and communicate complex data sets.
โ€ข Natural Language Processing (NLP): application of NLP techniques to analyze and generate human language data.
โ€ข Big Data Analytics: utilizing big data frameworks and tools such as Hadoop, Spark, and Hive to analyze massive data sets.
โ€ข Cloud Computing for AI: deployment and management of AI applications on cloud platforms such as AWS, Azure, and Google Cloud Platform.
โ€ข AI Ethics and Regulations: examination of ethical and regulatory considerations for AI software development, including bias, privacy, and security.
โ€ข AI Project Management: best practices for managing AI projects, including team organization, workflow management, and project planning.
โ€ข Data-Driven AI Software Development Methodologies: introduction to software development methodologies specifically designed for AI applications.
โ€ข AI Testing and Validation: techniques for testing and validating AI applications, including unit testing, integration testing, and performance testing.

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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‚ณใƒผใ‚นใ‚’ๅฎŒไบ†ใ™ใ‚‹ใฎใซใฉใ‚Œใใ‚‰ใ„ๆ™‚้–“ใŒใ‹ใ‹ใ‚Šใพใ™ใ‹๏ผŸ

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

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ใ‚ณใƒผใ‚นๆƒ…ๅ ฑใ‚’ๅ–ๅพ—

่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
ADVANCED CERTIFICATE IN DATA-DRIVEN AI SOFTWARE DEVELOPMENT
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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