Masterclass Certificate in AR Fashion: Building a Portfolio

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The Masterclass Certificate in AR Fashion: Building a Portfolio course is a comprehensive program designed to equip learners with essential skills in Augmented Reality (AR) fashion design. This course is critical for those looking to stay ahead in the rapidly evolving fashion industry, where technology and creativity converge to create unique and engaging experiences.

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About this course

With a focus on building a strong portfolio, learners will gain hands-on experience in creating AR fashion experiences that showcase their creativity and technical expertise. The course covers a range of topics, from the fundamentals of AR technology to advanced design techniques, providing learners with a well-rounded understanding of the AR fashion landscape. In an industry where demand for AR fashion designers is on the rise, this course is an excellent opportunity for learners to gain a competitive edge and advance their careers. By completing this course, learners will have the skills and portfolio necessary to showcase their expertise and stand out in a crowded job market.

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Course Details

• Unit 1: Introduction to Augmented Reality (AR) in Fashion
• Unit 2: AR Fashion Market Analysis
• Unit 3: AR Fashion Design Principles
• Unit 4: AR Fashion Technology Fundamentals
• Unit 5: Creating AR Fashion Prototypes
• Unit 6: Building a Cohesive AR Fashion Portfolio
• Unit 7: AR Fashion Portfolio Critique and Feedback
• Unit 8: Industry Trends and Future Perspectives in AR Fashion
• Unit 9: Professional Practices for AR Fashion Portfolios
• Unit 10: Finalizing and Presenting the AR Fashion Portfolio

Career Path

This section features a 3D pie chart that highlights the demand for various roles in the Augmented Reality (AR) fashion industry in the UK. The chart is built using Google Charts, offering an engaging and interactive visualization of the job market trends. The primary colors assigned to each slice ensure clarity and distinguishability, enhancing the user experience. The chart reveals that AR Fashion Designers hold the largest share of the AR fashion job market at 45%, followed by 3D Modelers (25%), AR App Developers (15%), UX/UI Designers with an AR focus (10%), and Data Analysts specializing in AR (5%). The transparent background and minimal design allow for seamless integration into the Masterclass Certificate in AR Fashion: Building a Portfolio webpage, making it a valuable addition to the course's career-oriented content. In order to create the 3D pie chart, we utilized the Google Charts library, which offers a wide range of data visualization options. To define the chart data, we employed the google.visualization.arrayToDataTable method, passing an array containing the roles and their corresponding percentages. The is3D option was set to true to achieve the desired 3D effect. To ensure proper display and responsiveness on various devices, we set the width of the chart container to 100% and the height to an appropriate value of 400px. Furthermore, we incorporated inline CSS styles to optimize the layout and spacing of the chart within the section.

Entry Requirements

  • Basic understanding of the subject matter
  • Proficiency in English language
  • Computer and internet access
  • Basic computer skills
  • Dedication to complete the course

No prior formal qualifications required. Course designed for accessibility.

Course Status

This course provides practical knowledge and skills for professional development. It is:

  • Not accredited by a recognized body
  • Not regulated by an authorized institution
  • Complementary to formal qualifications

You'll receive a certificate of completion upon successfully finishing the course.

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MASTERCLASS CERTIFICATE IN AR FASHION: BUILDING A PORTFOLIO
is awarded to
Learner Name
who has completed a programme at
London School of International Business (LSIB)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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