Courses
Academia
I am a graduate from Indian Institute of Technology (IIT) Kharagpur in Mathematics and Computing (Batch: 1999 - 2004). The curricula page lists the subjects that are covered under this course, with few minor additions/deletions of the subjects compared to our time.
MOOC Courses
Following are the list of online courses that I have completed:
Natural Language Processing
| Course | Author | Host | Year | Certificate |
|---|---|---|---|---|
| Natural Language Processing with Deep Learning(CS224n) | Stanford University | Stanford University | 2019 | |
| Natural Language Processing | Michael Collins (Columbia University) | Coursera | 2013 |
Machine Learning / Deep Learning
| Course | Author | Host | Year | Certificate |
|---|---|---|---|---|
| Building Applications with Vector Databases | Tim Tully | DeepLearning.ai | 2024 | Y |
| Introduction to Deep Learning & Neural Networks | AI Summer | Educative | 2023 | Y |
| Deep Learning with PyTorch Step-by-Step: Part I - Fundamentals | Daniel Voigt Godoy | Educative | 2023 | Y |
| Machine Learning with NumPy, pandas, scikit-learn, and More | Adaptilab | Educative | 2023 | Y |
| Neural Networks for Machine Learning | Geoffrey Hinton (University of Toronto) | Coursera | 2017 | Y |
| Statistical Learning | Hastie and Tibshirani (Stanford University) | Stanford Lagunita | 2016 | Y |
| Machine Learning | Andrew Ng (Stanford University) | Coursera | 2013 | Y |
Generative AI / Large Language Models (LLM)
| Course | Author | Host | Year | Certificate |
|---|---|---|---|---|
| Knowledge Graphs for RAG | Andreas Kollegger | DeepLearning.ai | 2024 | Y |
| Building Multimodal Search and RAG | Sebastian Witalec | DeepLearning.ai | 2024 | Y |
| Large Language Models with Semantic Search | DeepLearning.ai | DeepLearning.ai | 2024 | Y |
| Generative AI with Large Language Models | DeepLearning.ai, Coursera | Coursera | 2024 | Y |
| Quantization in Depth | Younes Belkada, Marc Sun | DeepLearning.ai | 2024 | Y |
| Quantization Fundamentals with Hugging Face | Younes Belkada, Marc Sun | DeepLearning.ai | 2024 | Y |
| How Diffusion Models Work | DeepLearning.ai, Coursera | DeepLearning.ai | 2024 | Y |
| Generative AI for Everyone | Andrew Ng | Coursera | 2023 |
MLOps
| Course | Author | Host | Year | Certificate |
|---|---|---|---|---|
| Weights & Biases 101 | Weights & Biases | Weights & Biases | 2023 | Y |
LLMOps
| Course | Author | Host | Year | Certificate |
|---|---|---|---|---|
| LangChain for LLM Application Development | Harrison Chase, Andrew Ng | DeepLearning.ai | 2024 | Y |
Big Data
| Course | Author | Host | Year | Certificate |
|---|---|---|---|---|
| Distributed Machine Learning with Apache Spark (CS120x) | Ameet Talwalkar & Jon Bates (University of California, Berkeley) | EdX | 2016 | |
| Introduction to Data Science | Bill Howe (University of Washington) | Coursera | 2013 | Y |
Image Processing
| Course | Author | Host | Year | Certificate |
|---|---|---|---|---|
| Image and video processing: From Mars to Hollywood with a stop at the hospital | Duke University | Coursera | 2013 | Y |
Data Structure & Algorithms
| Course | Author | Host | Year | Certificate |
|---|---|---|---|---|
| Algorithms: Design and Analysis, Part 1 | Tim Roughgarden ( Stanford University) | Coursera | 2013 | Y |
| C++ For C Programmers | Ira Pohl (University of California, Santa Cruz) | Coursera | 2013 | Y |
Statistics
| Course | Author | Host | Year | Certificate |
|---|---|---|---|---|
| Data Analysis and Statistical Inference | Mine Çetinkaya-Rundel (Duke University) | Coursera | 2015 | Y |