Executive Development Programme in Fashion Tech Disruptive Technologies
-- ViewingNowThe Executive Development Programme in Fashion Tech Disruptive Technologies is a certificate course designed to bridge the gap between fashion and technology. This programme emphasizes the importance of integrating cutting-edge technology into fashion businesses to drive innovation, increase efficiency, and enhance customer experience.
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โข Innovation and Disruption in Fashion Tech: Understanding the latest trends and technologies disrupting the fashion industry, including wearable technology, smart fabrics, and digital textiles.
โข 3D Printing and Customization: Exploring the potential of 3D printing in fashion, from creating custom-fit garments to on-demand manufacturing.
โข Artificial Intelligence and Machine Learning: Analyzing the impact of AI and ML on fashion design, production, and distribution, including predictive analytics and automation.
โข Augmented Reality and Virtual Reality: Examining the role of AR and VR in enhancing the shopping experience, from virtual fitting rooms to immersive brand experiences.
โข Blockchain and Supply Chain Transparency: Investigating the use of blockchain technology in improving supply chain management, traceability, and sustainability.
โข Data Analytics and Customer Insights: Leveraging data analytics to gain customer insights, drive product innovation, and improve business performance.
โข Sustainable Fashion and Circular Economy: Exploring the opportunities and challenges of sustainable fashion, from circular design to closed-loop production.
โข Digital Marketing and Social Media Strategy: Utilizing digital marketing and social media to build brand awareness, engage customers, and drive sales.
โข Leadership and Change Management: Developing leadership skills to drive innovation and manage change in a rapidly evolving industry.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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- TwoThreeHoursPerWeek
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