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End-to-End NLP with Python: Build Chatbots and LLM
End-to-End NLP with Python: Build Chatbots and LLM Applications
NLP in Python takes you on a journey from basic ideas to more advanced uses. It covers text preprocessing, sequence models, transformers, and conversational AI. It offers knowledge from fundamental ideas to sophisticated applicati
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Course outline
Industry focussed curriculum designed by experts
NLP Foundations
3 items
0.28 hr
- Intro to Natural Language Processing
- Different tasks in NLP
- How are NLP problems solved
Text Mining and Pre-processing
6 items
1.16 hr
- NLP- Text Preprocessing- Part 1
- NLP- Text Preprocessing- Part 2
- Text Preprocessing - Lemmatization
- Text Preprocessing - Stemming
- Vectorization Techniques
- NLP- Hands-on Word Vectorization
Sequence Models and Chatbots
13 items
3.24 hr
- Introduction to Sequence to Sequence models
- Types of Seq 2 seq models
- Bag of Words Recap
- Chatbot evolution and its types
- Chatbots Common Architectures
- Chatbots architectures - Google Dialogflow & RASA
- Workflow of chatbots
- How do chatbots work
- Steps involved in building chatbots
- Hands-on Chatbots - Part 1
- Hands-on Chatbots - Part 2
- Applications of Chatbots
Sequence Models and Transformers
8 items
1.03 hr
- Need for Transformer Models
- Attention, Self-Attention and Multi-head Attention
- NLP Problem Categories and Encoder versus Decoder
- The Encoder and Decoder Attention Layer
- The Decoder Deconstructed
- The Decoder's Sequential Nature
- Transformer Architectures for NLP
- Building the transformer in PyTorch
Applied NLP with Transformers and Large Language Models
4 items
1.08 hr
- Sarcasm Detection with Transformers - EDA and Text Pre-processing
- Sarcasm Detection with Transformers - Model Building
- Sarcasm Detection with Transformers - Model Training and Evaluation
- Large Language Models - Demo
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Start 7-Day Free TrialGuided Projects
Solve real-world projects with a step-by-step guide, starter code templates, and access to model solutions to boost your skills and build a standout resume.
- GUIDED PROJECT 1
- AI-Powered Customer Support System for E-commerce
- This project focuses on building an intelligent customer support system for an e-commerce platform using NLP and Generative AI. Learners will combine core NLP techniques—text preprocessing, sentiment analysis, sequence models, transformers, GPT/BERT, and conversational AI frameworks—to design a chatbot capable of answering queries, analyzing customer feedback, and providing personalized recommendations. The project integrates the entire NLP course, offering a real-world, end-to-end solution for modern businesses.
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Start 7-Day Free TrialCourse Instructors
Dr. Abhinanda Sarkar
Senior Faculty & Director Academics, Great Learning
Mr. Anand Sivaraman Subramaniam
Head - AI Practice
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