call  18001237099   |   send  info@gmu.ac.in

Natural language processing & AI – Project based learning

GMUSD64
Credits: 2.00
Prerequisites : Basic understanding of Python programming and machine learning concepts
Course Duration : 30 Hours / 12 Weeks
Start Date : 2024-03-12
End Date : 2024-03-23
Seats Remaining : 60
Domain: Computer Science, Information Technology, and Linguistics students interested in NLP and AI

BACK

Aim & Summary

The course covers fundamental NLP concepts such as text preprocessing, tokenization, part-of-speech tagging, named entity recognition, sentiment analysis, and topic modeling. Participants will also explore AI algorithms such as machine learning classifiers, sequence-to-sequence models, and transformers for NLP tasks. Through project-based learning, participants will apply NLP and AI techniques to solve practical problems, such as text classification, language translation, chatbot development, and information extraction. By working on hands-on projects, participants will gain valuable experience in building and deploying NLP and AI systems.

Course Content
Week 1 Introduction to Natural Language Processing and AI
Week 2 Text Preprocessing Techniques: Cleaning, Tokenization, and Normalization
Week 3 Part-of-Speech Tagging and Named Entity Recognition
Week 4 Sentiment Analysis and Opinion Mining

QUIZ 1

Week 5 Topic Modeling: Latent Dirichlet Allocation (LDA) and Latent Semantic Analysis (LSA)
Week 6 Introduction to Machine Learning for NLP: Supervised and Unsupervised Learning
Week 7 Text Classification with Naive Bayes, Support Vector Machines, and Neural Networks
Week 8 Sequence-to-Sequence Models for Language Translation

QUIZ 2

Week 9 Chatbot Development with Rule-Based Systems and Sequence Models
Week 10 Advanced Topics in NLP: Transformers and BERT
Week 11 Information Extraction and Named Entity Recognition
Week 12 Project Development: Building and Deploying NLP and AI Systems

PROJECT REPORT

Course Certification

Certificate will have your name, photograph and the score in the final exam with the breakup. It will have the logos of GMU and company handling the course.
I'm a beta version
©️ All rights reserved - GEM VENTURES LLP