As I’ve completed 3.5 years as an undergraduate student, I’ve taken a few courses (both in college as well as online certifications) to learn and expand my knowledge base. I’ve listed some select courses below, which are mostly relevant to my interests.

College Courses

Some of the relevant courses I have taken at IIIT-Delhi are listed below. They are listed in the format of course name (semester, instructor, grade received):

• CSE663A: Meta-Learning (Winter’22, Prof. Gautam Shroff, A)
• CSE642: Advanced Machine Learning (Monsoon’21, Prof. Saket Anand, A)
• CSE556: Natural Language Processing (Monsoon’21, Prof. Md. Shad Akhtar, A)
• CSE564: Reinforcement Learning (Monsoon’22, Prof. Sanjit Kaul, A)
• CSE515: Bayesian Machine Learning (Monsoon’22, Prof. Ranjitha Prasad, A+)
• CSE656: Information Integration and Applications (Monsoon’21, Prof. Mukesh Mohania, A)
• CSE222: Analysis and Design of Algorithms (Winter’21, Prof. Syamantak Das, A)
• CSE202: Fundamentals of Database Management Systems (Winter’21, Prof. Mukesh Mohania, A)
• MTH204: Differential Equations (Winter’21, Prof. Ashish Pandey, A)
• MTH203: Multivariate Calculus (Monsoon’21, Prof. Sarthok Sircar, A)
• CSE201: Advanced Programming (Monsoon’21, Prof. Vivek Kumar, A-)
• CSE102: Data Structures and Algorithms (Winter’20, Prof. Subhabrata Samajder, A-)
• MTH201: Probability and Statistics (Winter’20, Prof. Sanjit Kaul, A)
• CSE101: Introduction to Programming (Monsoon’19, Prof. Vikram Goyal, A)

Aside: Since I took a few ML courses on online platforms (as listed below) in my 2nd year, I didn’t take CSE343: Machine Learning or CSE641: Deep Learning at IIIT-D because I had covered the basics of these courses elsewhere. Instead, I directly jumped into CSE642: Advanced Machine Learning and CSE663A: Meta-Learning, both of which required ML and DL as prerequisites and were more advanced in nature (especially since I was the only 3rd-year undergrad in a class of mostly Masters and Ph.D. students). These two courses were extremely enjoyable and well-taught, and I learned a lot from both of them.

Online Courses

When COVID-19 hit and the world went into lockdown in 2020, I enrolled in multiple online courses in the summer break to enhance my knowledge and skill set. Fortunately, online platforms like Coursera and edX provided enrollment for multiple courses free of charge (for college students) up to a certain time period. I took full advantage of this opportunity and enrolled in various courses that captured my interest.

• Natural Language Processing Specialization by deeplearning.ai (4 courses, completed November 2020) [CERTIFICATE]
• MITx 6.86x: Machine Learning with Python-From Linear Models to Deep Learning (completed December 2020) [CERTIFICATE]
• Applied Data Science with Python Specialization by University of Michigan (5 courses, completed October 2020) [CERTIFICATE]
• MITx 18.6501x: Fundamentals of Statistics (completed September 2020) [CERTIFICATE]
• Machine Learning: Algorithms in the Real World Specialization by Alberta Machine Intelligence Institute (4 courses, completed September 2020) [CERTIFICATE]
• TensorFlow Developer Specialization by deeplearning.ai (4 courses, completed October 2020) [CERTIFICATE]
• Mathematics for Machine Learning by Imperial College London (3 courses, completed September 2020) [CERTIFICATE]