Program Highlights:

• Learn Python and R programming languages

• Learn Machine Learning (Decision Tree, Random Forest, SVM, Linear Model, etc.)

• Learn Deep Learning (CNN, RNN, LSTM, GAN, Transformers, Auto-encoders, etc.)

• Basics of Statistics and Exploratory Data Analysis (EDA)

• Optimization Techniques (Random Algorithms, Genetic Algorithms)

• Hands-on practice on Image Processing, Natural Language Processing (NLP), Generative AI, LLMs, Internet of Things (IoT), Cloud Services, Time Series, Dashboard Development (PowerBI, and Tableau) and Deployment of prediction models.

• Special sessions on Agentic AI and Mobile APP development.

• Projects: 5 Major projects and 15 minor projects. All projects needs to upload on GitHub for showcase.

• 10 Machine Learning competitions on www.kaggle.com and top ranker will be awarded prizes.

• Miscellaneous: (1) Learn how to write research papers and patents (2) How to get internship through cold emailing.

• Resource persons are from Thapar and Industry.

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​​Target Audience

UG/PG/ PhD students of all the streams and all years

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Contact for more information:

Dr. Prashant Singh Rana

prashant.singh@thapar.edu
+91-9313889932