Executive Development Programme in DBT: AI for Organizational Growth

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The Executive Development Programme in DBT: AI for Organizational Growth certificate course is a professional training program designed to equip learners with essential skills in Data Science, Artificial Intelligence, and Machine Learning. This course is crucial in the current industry landscape, where businesses increasingly rely on data-driven decision-making to drive growth and innovation.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

The course covers various topics, including data analytics, predictive modeling, and AI integration, providing learners with hands-on experience and practical skills they can apply in real-world scenarios. Upon completion, learners will be able to leverage data and AI technologies to optimize business processes, improve operational efficiency, and identify new growth opportunities. With the growing demand for AI and data science skills in various industries, this course offers a unique opportunity for professionals to advance their careers and stay competitive in the job market. By gaining expertise in AI for organizational growth, learners can position themselves as valuable assets to their employers and contribute to the success of their organizations.

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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

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ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Introduction to DBT (Data-Based Technologies): Understanding the basics of data-based technologies and their impact on organizational growth.
โ€ข AI Fundamentals: Diving into the essentials of artificial intelligence, including machine learning, deep learning, and natural language processing.
โ€ข Data Analytics and Business Intelligence: Learning how to analyze data, generate insights, and make data-driven decisions for business growth.
โ€ข AI Applications in Business: Exploring real-life AI use cases and their impact on various industries, including finance, healthcare, retail, and manufacturing.
โ€ข AI Strategy for Organizations: Developing a strategic plan for AI implementation, focusing on ethical considerations, change management, and workforce transformation.
โ€ข AI Tools and Platforms: Getting hands-on experience with popular AI tools, frameworks, and platforms for business applications.
โ€ข AI Project Management: Mastering the art of managing AI projects, including setting up cross-functional teams, defining project scopes, and measuring success.
โ€ข AI Ethics and Regulations: Addressing the ethical implications of AI, including privacy, bias, and transparency, as well as understanding the latest AI regulations and compliance requirements.
โ€ข AI for Leadership: Developing leadership skills for managing AI-driven organizations, focusing on building a data-driven culture, fostering innovation, and driving continuous improvement.

ใ‚ญใƒฃใƒชใ‚ขใƒ‘ใ‚น

The Executive Development Programme in DBT focuses on the growing demand for AI professionals in the UK job market. With the rise of AI and data-driven decision-making, various AI roles have emerged as essential for organizational growth. In this 3D pie chart, we present the percentage of demand for different AI roles in the UK, providing a clear representation of the job market trends. The chart highlights the following six AI roles in demand: 1. Data Scientist: As data becomes increasingly valuable, data scientists are crucial for processing, analyzing, and interpreting complex data sets. Their expertise in machine learning algorithms, predictive analytics, and data visualization supports strategic decision-making. 2. Data Analyst: Data analysts collect, process, and perform statistical analyses on data to provide actionable insights. They help organizations identify trends, develop forecasts, and optimize performance. 3. Machine Learning Engineer: Machine learning engineers build, train, and deploy machine learning models. They ensure seamless integration of AI solutions into existing infrastructures, driving automation and efficiency within organizations. 4. Business Intelligence Developer: Business intelligence developers create tools to extract insights from data and present them in an easily digestible format. They help organizations make data-driven decisions by providing visualizations, dashboards, and reports. 5. Data Engineer: Data engineers design and construct data systems and pipelines to support data analysis and machine learning tasks. They ensure data is accessible, accurate, and well-organized, enabling organizations to leverage their data assets effectively. 6. AI Architect: AI architects design and oversee AI strategies, ensuring alignment with business objectives. They create blueprints for AI implementation, from selecting the right tools and platforms to managing ethical considerations and risk mitigation. These roles contribute significantly to organizational growth by enabling data-driven decision-making, fostering innovation, and increasing operational efficiency. The Executive Development Programme in DBT prepares professionals for these in-demand AI roles, ensuring they have the necessary skills to succeed in the ever-evolving AI landscape.

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  • ไธป้กŒใฎๅŸบๆœฌ็š„ใช็†่งฃ
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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ฎใ‚ณใƒผใ‚นใ‚’ไป–ใฎใ‚ณใƒผใ‚นใจๅŒบๅˆฅใ™ใ‚‹ใ‚‚ใฎใฏไฝ•ใงใ™ใ‹๏ผŸ

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“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 DBT: AI FOR ORGANIZATIONAL GROWTH
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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