Course Overview
IIM Kashipur’s Post Graduate Certificate Programme in Machine Learning & Deep Learning (PGCPMLDL) is designed to introduce and demonstrate machine learning and deep learning concepts in various business applications. This programme will use open-source platform Python to demonstrate and help participants learn the new tech components. This advanced one-year programme is intended to equip the participants with a clear understanding and differentiation between AI and ML concepts frequently used in the industry.
Course Highlights
- Contextually designed 12-month programme for working professionals
- Campus immersion module of 4 days
- Taught using open-source platform – Python
Key Benefits
- Equip learners with a clear understanding of AI and ML concepts
- Familiarise students with advanced ML and DL programming, tools, and techniques
- Demonstrate how ML and DL can be applied in to resolve business problems
- Upskill or transition successfully into the field of data science
Eligibility
- Bachelor’s Degree or equivalent (10+2+3 or 10+2+4)/two Years Master’s Degree or Equivalent from a recognised university (UGC/AICTE/DEC/AIU/State Government) in any discipline.
- Work experience of at least TWO years is preferable after completion of the qualifying education.
- Prior knowledge of Statistics and Mathematics at the high school level is preferred.
- Participants who fulfil the above criteria but are not working currently are also eligible for the programme.
*Internships and Trainee experiences are not considered as Full-time work experience
Selection Criteria
Admission will be based on the overall profile of the applicants.
Course Modules
This course have diiferent modules.
Certificate
*The certificate shown above is for illustration purposes only and may not be an exact prototype of the actual certificate. ** IIM Kashipur reserves the right to change the certificate and specifications at any time without notice
Sample Certificate
Faculty
Date & Fees
Fee Particulars | Amount (in ) | ||
Registration Fee | 6100 | ||
Processing Fee** (Collected at the time of application) | 10,000 | ||
Programme Fee | 1,63,000 | ||
Campus Fee | 32,000 | ||
Alumni Fee (Optional) | 10,000 | ||
Total Fee (Excl. Registration Fee) | 2,05,000 | ||
NOTE:
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No. of Installments - Total amount to be paid in 4 installments. | |||
Instalment No. | Amount (in ) | ||
Installment 1 | 3,900+ 52,000 | ||
Installment 2 | 52,000 | ||
Installment 3 | 52,000 | ||
Installment 4 | 45,100 | ||
Timeline and Dates | |||
Application Closure Date | 27-Jun-2022 | ||
Induction Date | 01-Oct-2022 | ||
End of programme (Last session including assessment) | 31-Oct-2023 |
Pedagogy
The programme will be taught using Python machine learning and deep learning libraries. Libraries/packages that will be used in the programme are numpy, pandas, matplotlib, scikit-learn, tensorflow, keras, and nltk, among others. Participants would be completing assignments, quizzes, and a capstone project.