Course Details
Certificate Course in Nail Art Training
About the Course
Our Professional Nail Art Course is a hands-on training program designed for aspiring nail technicians and beauty professionals looking to master the art and science of nail design. This course combines fundamental theory with advanced practical techniques, providing students with the essential skills required to succeed in the growing nail care and beauty industry.
Whether you're a beginner or looking to upgrade your existing skills, this course will guide you through every aspect of nail artistry—from nail anatomy to high-end designer nail effects—using industry-standard tools, gels, acrylics, and accessories.
What You Will Learn:
1. Nail Foundation & Design Basics
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Nail Anatomy & Health
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Understanding Nail Shapes
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Brush Art & Freehand Designs
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Marble Designs
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Needle Designing
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Swarovski Application Techniques
2. Gel Nail Extensions
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Natural Gel Extensions
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French Gel Extensions
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Inbuilt Glitter / Mylar Extensions (Gel)
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Inbuilt Foil Art / Dry Flower Extensions (Gel)
3. Acrylic Nail Extensions
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Natural Acrylic Extensions
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French Acrylic Extensions
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Inbuilt Glitter / Mylar Extensions (Acrylic)
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Inbuilt Foil Art / Dry Flower Extensions (Acrylic)
4. Advanced Nail Art Techniques
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3D Flower Design
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Temporary & Permanent Nail Extensions
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Spider Gel Designs
5. Gel Polish Applications & Effects
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Gel Polish Application (Basics to Advanced)
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Chrome Effect
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Cat Eye Effect
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Glitter Effect
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Mylar Effect
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Foil Paper Effect
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Ombre Effect
6. Maintenance & Aftercare
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Nail Art Removals
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Refill Techniques
for more information please check syallbus in brochure
| Days of Week | Class Timing | Location |
| Monday to Saturday | 10:00 A.M to 1:00 P.M |
CISBC, OLDC Campus of Open Learning, University of Delhi C-2, Block C3, Keshav Puram, Tri Nagar, New Delhi, Delhi, 110035 Phone: 011 2718 1469 |
| Commencement of Classes |
Admission Open Kindly be advised that the days and times for any batch will be decided only by the center. |
Assessment Scheme for Certification
The following evaluation criteria will be applied to assess student performance in the course. The total marks allotted are 100, distributed across five key components:
A) Attendance – 20 Marks
|
Attendance Percentage |
Marks Awarded |
|---|---|
|
Above 85% |
20 Marks |
|
70% to 85% |
15 Marks |
|
60% to 70% |
10 Marks |
|
50% to 60% |
05 Marks |
|
Below 50% |
0 Marks |
Note: Students must meet the minimum attendance requirement (above 50%) to be eligible for certification.
B) Practical File = 15 Marks (A minimum score of 16 marks is required to qualify for this section.)
C) Practical = 30 Marks (A minimum score of 11 marks is required to qualify for this section.)
Evaluation will be based on hands-on proficiency and application of course concepts.
D) Final Test (MCQ) = 25 Marks (A minimum score of 9 marks is required to qualify for this section) A multiple-choice examination to assess theoretical understanding of the course content.
E) Viva= = 10 Marks (A minimum score of 4 marks is required to qualify for this section)
Total: 100 Marks (minimum passings marks are 35 to qualify overall.)
Certification Eligibility
Candidates will be eligible to receive the course certificate only upon fulfilling the minimum attendance criteria and completing all assessment components.
Grading Scale
|
Marks Range |
Grade |
|---|---|
|
35 – 45 |
Satisfactory |
|
46 – 55 |
Good |
|
56 – 65 |
Very Good |
|
66 – 90 |
Excellent |
|
91 – 100 |
Outstanding |
10th Pass.
| Marks Range | Grade |
|---|---|
| 36-45 | Satisfactory |
| 46-55 | Good |
| 56-65 | Very Good |
| 66-80 | Excellent |
| 81-100 | Outstanding |
- Registrations in these courses are open for all, including University of Delhi students.
- Admissions on first cum first serve basis (as per the number of seats in each course).
• All rights related to skill courses structure and time-table are reserved by the Centre for Innovation and Skill Based Courses(CISBC), OLDC.
• Schedule of every skill based course being offered is subject to the number of enrollments per course.
Trainers
Dr. Anjali Mehta
Professor, Department of Computer
Dr. Mehta specializes in artificial intelligence and machine learning. Her current research focuses on natural language processing and its applications in education technology.
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