Executive Development Programme in AR/ML for a Sustainable Future

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The Executive Development Programme in AR/ML for a Sustainable Future is a certificate course designed to empower professionals with the essential skills needed to drive innovation and sustainability in today's rapidly evolving technological landscape. This course focuses on the application of Augmented Reality (AR) and Machine Learning (ML) technologies to build a sustainable future, addressing critical issues such as climate change, resource conservation, and sustainable development.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

In an era where AR/ML technologies are reshaping industries and driving economic growth, this programme is of paramount importance for professionals seeking to advance their careers and stay competitive. By combining hands-on experience, expert instruction, and real-world case studies, this course equips learners with the knowledge and skills necessary to leverage AR and ML to create innovative solutions for a sustainable future. Upon completion, learners will be able to apply AR/ML technologies to drive sustainable business practices, communicate the value of these technologies to stakeholders, and lead cross-functional teams in the design and implementation of AR/ML-powered solutions. With a focus on practical application and industry best practices, this course is an essential step towards career advancement in a rapidly changing world.

100%ใ‚ชใƒณใƒฉใ‚คใƒณ

ใฉใ“ใ‹ใ‚‰ใงใ‚‚ๅญฆ็ฟ’

ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

LinkedInใƒ—ใƒญใƒ•ใ‚ฃใƒผใƒซใซ่ฟฝๅŠ 

ๅฎŒไบ†ใพใง2ใƒถๆœˆ

้€ฑ2-3ๆ™‚้–“

ใ„ใคใงใ‚‚้–‹ๅง‹

ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Introduction to Augmented Reality (AR) and Mixed Reality (MR) in Business
โ€ข Understanding Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)
โ€ข AR/MR Use Cases for Sustainable Business Practices
โ€ข Implementing ML Algorithms for Environmental Sustainability
โ€ข Designing AR/MR Experiences for Social Impact
โ€ข Ethical Considerations in AR/MR and AI for a Sustainable Future
โ€ข AR/MR and AI for Energy Efficiency and Renewable Energy
โ€ข Leveraging AR/MR and AI for Supply Chain Sustainability
โ€ข AR/MR and AI for Circular Economy and Waste Reduction

ใ‚ญใƒฃใƒชใ‚ขใƒ‘ใ‚น

The **Executive Development Programme** in AR/ML for a Sustainable Future is tailored to meet the growing demand for skilled professionals in the UK. This programme focuses on developing talent in AR/ML (Augmented Reality/Machine Learning) technologies, which are essential for building a sustainable future. Let's take a closer look at the job market trends and skill demand for various roles related to AR/ML: 1. **AR/ML Engineer (35%)** - These professionals are responsible for developing AR and ML applications and systems. The demand for AR/ML engineers is high, as they play a crucial role in integrating these technologies into various industries. 2. **Data Analyst (25%)** - Data analysts in AR/ML focus on collecting, processing, and interpreting data generated by AR and ML systems. Their expertise helps businesses make data-driven decisions and optimize their operations. 3. **Product Manager (20%)** - Product managers oversee the development and launch of AR/ML-based products. They work closely with engineering teams, designers, and business stakeholders to ensure successful product releases. 4. **UX Designer (15%)** - UX designers create user-friendly interfaces for AR and ML applications. They ensure that users have a seamless experience while interacting with these innovative technologies. 5. **Business Developer (5%)** - Business developers in AR/ML are responsible for identifying and pursuing new business opportunities. They create partnerships, negotiate deals, and grow the company's presence in the market. These roles showcase the diverse opportunities available in the AR/ML space. The **Executive Development Programme** in AR/ML for a Sustainable Future is designed to equip professionals with the skills they need to excel in these roles and contribute to a more sustainable future.

ๅ…ฅๅญฆ่ฆไปถ

  • ไธป้กŒใฎๅŸบๆœฌ็š„ใช็†่งฃ
  • ่‹ฑ่ชžใฎ็ฟ’็†Ÿๅบฆ
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  • ใ‚ณใƒผใ‚นๅฎŒไบ†ใธใฎ็Œฎ่บซ

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€‚

ใ‚ณใƒผใ‚น็Šถๆณ

ใ“ใฎใ‚ณใƒผใ‚นใฏใ€ใ‚ญใƒฃใƒชใ‚ข้–‹็™บใฎใŸใ‚ใฎๅฎŸ็”จ็š„ใช็Ÿฅ่ญ˜ใจใ‚นใ‚ญใƒซใ‚’ๆไพ›ใ—ใพใ™ใ€‚ใใ‚Œใฏ๏ผš

  • ่ชๅฏใ•ใ‚ŒใŸๆฉŸ้–ขใซใ‚ˆใฃใฆ่ชๅฎšใ•ใ‚Œใฆใ„ใชใ„
  • ่ชๅฏใ•ใ‚ŒใŸๆฉŸ้–ขใซใ‚ˆใฃใฆ่ฆๅˆถใ•ใ‚Œใฆใ„ใชใ„
  • 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‚ญใƒฃใƒชใ‚ข่จผๆ˜Žๆ›ธใ‚’ๅ–ๅพ—

ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
EXECUTIVE DEVELOPMENT PROGRAMME IN AR/ML FOR A SUSTAINABLE FUTURE
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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