Certificate Course in English Language (Online)

Skill Level : Beginner

Language : English

Mode : Online

Certificate : Yes

Duration : 03 Months

Seats :

Brochure :

Fee : ₹ 3000

About the Course

English language courses are designed to improve your communication skills by emphasising grammar, vocabulary, and pronunciation. Proficiency in English is crucial for success in fields such as business, teaching, and writing. Our course is specifically tailored to help you acquire practical English skills that can be applied in real-world situations and to build the confidence to use them effectively. The interactive course is conducted in a group setting to enhance the learning experience.

Days of Week

Class Timing

Location

Admissions Open for next batch (for Online)

 

Saturday & Sunday (for Online Mode)

10:00 AM to 1:00 PM 

OLDC, Second Floor, ARC Building, 

University of Delhi, 

Opposite S.G.T.B. Khalsa College,

 Delhi-110007

Commencement of Classes

Admission Open for next batch. 

Marks Range

Grade

35 – 50

Satisfactory

51 – 60

Good

61 – 70

Very Good

71 – 85

Excellent

86 and above

Outstanding

10th pass

Marks Range Grade
36-45 Satisfactory
46-55 Good
56-65 Very Good
66-80 Excellent
81-100 Outstanding
  • Open to all, including University of Delhi students, Minimum  10th Pass from any recognised Board. 

  • Admission is first-come, first-served, subject to seat availability.

  • No refund once the fee is paid.

  • The course schedule may vary based on enrolments.

  • All course-related decisions are reserved by the Centre for Innovation and Skill-Based Courses (CISBC), OLDC.

• 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

Trainer

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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