Courses

Courses Taught at TIET 

● PAI104 Advanced Deep Learning (ODD Semester 2025-26)

   (M.E. First Year)

● UCS761 Deep Learning (ODD Semester 2025-26)

    (B.E. Final Year)

●  PCS109 Advanced Algorithms (EVEN Semester 2024-2025)

     (M.E. First Year, MECS1-4)

●  PCS109 Advanced Algorithms Lab (EVEN Semester 2024-2025)

     (M.E. First Year, MECS2, MECS4)

●  UCS761 Deep Learning (ODD Semester 2024-25)

    (B.E. Final Year, 4CO15-28)

● UCS761 Deep Learning Lab (ODD Semester 2024-25)

   (B.E. Final Year, 4CS5-8, 4CO22-24, 4CO14-15, 4CO4-7)

● UCS301 Data Structures Lab (ODD Semester 2024-25)

   (B.E. Second Year, 2CO10, 2CO22)

● UCT501: DESIGN AND ANALYSIS OF ALGORITHMS

   (Summer Semester 2024, Self Study Mode)  

● UCS856: COMPUTER VISION AND AUGMENTED REALITY 

  (Summer Semester 2024, Self Study Mode)  

● UCS415: Design and Analysis of Algorithms (Even Semester 2023-24)

   B.E. COE/CSE (2nd Year, 4th Semester) 

● UCS415: Design and Analysis of Algorithms Lab (Even Semester 2023-24)

   B.E. COE/CSE (2nd Year, 2CO5, 2CO17, 2CO19, 2CO20, 2UoQ/2TCD) 

Courses Taught at Amrita Vishwa Vidyapeetham 

● 19CSE456: Neural Networks and Deep Learning (Odd Semester 2023-2024) 

    (V SEM-B Tech CSE-PE1)

● 21CS644/21AI604 Machine Learning (Odd Semester 2023-2024) 

   (I SEM -MTech CSE/AI (SoftCore1/Core))

● 19CSE205: Program Reasoning Lab 

    (III SEM-BTech CSE A)

    Jointly with Dr. Padmavathi S

●  21AI639: Computer Vision (Even Semester 2022-2023)

    (M.Tech CSE/AI - II Sem)

● 19CSE212: Data Structures and Algorithms (Even Semester 2022-2023)

   (B.Tech - CSE IV Sem - Sec A), Batch 2021-2025

● 19CSE212: Data Structures and Algorithms Lab (Even Semester 2022-2023)

    (B.Tech - CSE IV Sem - Sec A)

   Jointly with Ms. R. R. Sathiya and Ms. Anisha Radhakrishnan

● 19CSE302: Design and Analysis of Algorithms (Odd Semester 2022-2023)

   (V Sem. B.Tech. CSE)  

   Guest Lectures, Jointly with Dr. T. Gireesh Kumar 

●  19CSE435: Computer Vision (Odd Semester 2022-2023)

    (PE V - VII Sem. B.Tech. CSE)

    Guest Lecture, Nov 18th 2022 

Courses Taught at IIT Madras

● EE1102: Introduction to Programming (Feb - Mar 2022, Second Trimester)

   Jointly with Prof. Devendra Jalihal

● EE6130: Advanced Topics in Signal Processing (Semester Jan-May 2022)

   Course Webpage 

   Computational Imaging & Artificial Intelligence Based 3D Displays

● EE6130: Advanced Topics in Signal Processing (Semester Feb-May 2021)

   Computational Imaging & Displays

● EE6130: Advanced Topics in Signal Processing (Semester Jan-May 2020)

   Computational Imaging & Displays

● EE6130: Advanced Topics in Signal Processing (Session Jan-May 2019)

   Computational Multiview Imaging & 3D Display Technologies 

Online Courses/Certification Completed

Artificial Intelligence & Data Science Courses

● AI for Everyone [by Andrew Ng, DeepLearning.AI/Coursera]

● Python for Data Science, AI & Development [by Joseph Santarcangelo, Authorized by IBM]

● Fundamentals of Deep Learning [by Nvidia]

● Introduction to Data Engineering [by IBM]

● Exploratory Data Analysis for Machine Learning [by IBM Machine Learning]

● Introduction to Artificial Intelligence (AI) [by IBM]

● Introduction to Large Language Models [By Google Cloud]

● Generative AI Explained [By NVDIA DLI]

● Augment your LLM Using Retrieval Augmented Generation [By NVDIA DLI]

● Industrial Applications for AI [By L&T EduTech] 

● Innovative Teaching with ChatGPT [Generative AI and ChatGPT for K-12 Educators]

● An Even Easier Introduction to CUDA [By NVIDIA DLI]

● Generative AI Content Creation [By Adobe]

● Large Language Models with Semantic Search [By DeepLearning.AI]

● Foundations of Local Large Language Models [By Duke University]

● Large Language Models [By H20.ai]

● Developing Explainable AI (XAI) [By Duke University]

● Generative AI: Introduction and Applications [By IBM]

● Generative AI and LLMs: Architecture and Data Preparation [By IBM]

● Machine Learning with Python [By IBM]

● Introduction to Deep Learning & Neural Networks with Keras [By IBM]

● Building Generative AI-Powered Applications with Python [By IBM]

● Generative AI: Prompt Engineering Basics [By IBM]

● Fundamentals of AI Agents Using RAG and LangChain [By IBM]

● Generative AI Advance Fine-Tuning for LLMs [By IBM]

● Generative AI Engineering and Fine-Tuning Transformers [By IBM]

● Generative AI Language Modeling with Transformers [By IBM]

● Gen AI Foundational Models for NLP & Language Understanding [By IBM]

● Generative Pre-trained Transformers (GPT) [By University of Glasgow]

● How to Build a Diffusion Model - An Introduction [By Fractal] 

● Attention Mechanisms and Transformer Models Course [By Simplilearn]

● Introduction to Data Analytics [By IBM]  

● How Transformer LLMs Work [By DeepLearning.AI]

● Prompt Engineering for Vision Models [By DeepLearning.AI]

● Large Language Models with Semantic Search [By DeepLearning.AI]

● How Diffusion Models Work [By DeepLearning.AI]

Vision & Imaging Courses

● Computer Vision for Embedded Machine Learning [by Edge Impluse]

Cybersecurity Courses

● Introduction to Blockchain Technologies [by INSEAD]

Programming Courses

● Crash Course on Python [by Google]

Computing Courses 

● Introduction to Cloud Computing [By IBM]

● Quantum Computing for Everyone - An Introduction [By Fractal Analytics]

● Python Programming for Quantum Computing [By Packt]

Mathematics Courses 

● Linear Algebra from Elementary to Advanced Specialization [By Johns Hopkins University]