Content Curator | Updated On - Apr 8, 2024
IIT Delhi Continuing Education Program has launched Batch 3 of the ‘Machine Learning and Deep Learning’ program. Eligible candidates can apply for admission till April 20, 2024. Read full details here!
New Delhi: The Continuing Education Program (CEP) of IIT Delhi is accepting applications for admission to its 3rd batch of online certificate program on ‘Machine Learning and Deep Learning’. The last date to apply is now extended to April 20, 2024.
As per IIT Delhi, the online program will have 76 hours of live online sessions by IIT Delhi Faculty and Industry experts as well as a One-day campus immersion at the IIT Delhi Campus. The programme will have Live Online Sessions delivered Direct-to-Device (D2D).
Important Dates for IIT Delhi CEP Certificate Program 2024
| Particulars | Details |
|---|---|
| Name of the Programme | Machine Learning and Deep Learning |
| Organising Institute | Indian Institute of Technology Delhi |
| Programme Type | Online Certificate programme |
| Last Date to Apply | April 20, 2024 |
| Programme Start Date | June 22, 2024 |
| Duration of Program | 6 Months |
| Class Timing | Saturday and Sunday: 10:00 a.m. to 12:00 p.m. |
| Course Fee | INR 1,69,000 + Taxes |
Who is Eligible for IIT Delhi Machine Learning and Deep Learning Program 2024
To apply for admission to batch 3 of IIT Delhi CEP’s Online Certificate Program in ML and Deep Learning, Interested candidates need to have the below-mentioned qualifications:
- BE/B.Tech/ME/MTech/BIT/MIT/BCA/MCA/MCM (any stream)
- OR BSc/MSc/BS/MS in Mathematics, Statistics, Electronics, Physics, Computer Science, AI, DS.
- Selection will be based on application review and interview with the faculty.
Frequently Asked Questions
Ques. What are the selection criteria for IIT Delhi CEP MLDL Program?
Ans. Selection will be based on application review and interview with the faculty.
Ques. What are the evaluation criteria for getting the E-certificate for IIT Delhi Online ML and Deep Learning Program?
Ans. The certificate of successful completion will be granted at the end of the program based on the following evaluation:
- 50% - End-of-programme MCQ-based exam
- 20% - Assignments/quizzes
- 20% - Capstone Project
- 10% - Attendance
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