Executive Development Programme in AI Manufacturing Strategy Development

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The Executive Development Programme in AI Manufacturing Strategy is a certificate course designed to meet the growing industry demand for AI integration in manufacturing. This programme emphasizes the importance of AI adoption for optimizing manufacturing processes, improving efficiency, and driving innovation.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

Learners will gain essential skills in AI strategy development, machine learning, and data analytics, positioning them for career advancement in a rapidly evolving industry. The course is ideal for manufacturing professionals, AI specialists, and business leaders seeking to harness the power of AI to gain a competitive edge in the market. By the end of the programme, learners will be equipped with the knowledge and tools necessary to develop and implement effective AI strategies in manufacturing, making them invaluable assets to their organizations.

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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 Manufacturing: Understanding the basics of AI in manufacturing, its benefits, and potential use cases.
โ€ข AI Strategy Development: Developing a comprehensive AI strategy, including setting goals, identifying opportunities, and selecting AI technologies.
โ€ข Data Management for AI: Managing data for AI, including data collection, cleaning, and storage.
โ€ข AI Ethics and Governance: Understanding the ethical considerations and governance frameworks for AI in manufacturing.
โ€ข AI Implementation and Integration: Implementing and integrating AI into manufacturing processes, including change management and training.
โ€ข AI Project Management: Managing AI projects, including risk assessment and mitigation, project planning, and performance measurement.
โ€ข AI and Industry 4.0: Understanding the role of AI in Industry 4.0, including the impact on supply chains, workforce, and business models.
โ€ข AI and Workforce Development: Developing a workforce strategy for AI in manufacturing, including training and development programs, and change management.
โ€ข AI and Innovation: Using AI to drive innovation in manufacturing, including new product development and process optimization.

ใ‚ญใƒฃใƒชใ‚ขใƒ‘ใ‚น

In this Executive Development Programme, we focus on AI manufacturing strategy development with emphasis on the following roles: - **AI Engineer**: Overseeing AI model development, deployment, and maintenance in manufacturing environments, with a UK average salary of ยฃ60,000. - **Data Scientist**: Analyzing large datasets to extract insights, driving decision-making in AI manufacturing, with a UK average salary of ยฃ55,000. - **Machine Learning Engineer**: Developing and implementing ML models in manufacturing, with a UK average salary of ยฃ58,000. - **Robotics Engineer**: Designing, building, and maintaining robotic systems in manufacturing processes, with a UK average salary of ยฃ48,000. - **AI Ethics Manager**: Ensuring ethical AI practices in manufacturing, with a UK average salary of ยฃ65,000. - **Business Intelligence Developer**: Transforming raw data into meaningful insights to support manufacturing strategy, with a UK average salary of ยฃ50,000. These roles reflect the growing demand for AI skills in manufacturing, with opportunities for career progression and competitive salary ranges. Our programme is designed to empower professionals to lead AI manufacturing strategy development in their organisations.

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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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 MANUFACTURING STRATEGY DEVELOPMENT
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London College of Foreign Trade (LCFT)
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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