A support team gets hundreds of customer queries every day. A product team wants to read user feedback at scale. A learner hears terms like NLP, GPT, BERT, RASA, transformers, and LLM applications, but doesn’t know how they connect in one real project.
Great Learning’s NLP with Python course addresses this skill gap by bringing Natural Language Processing, Python, chatbot development, transformers, GPT, BERT, and conversational AI into one structured course. It helps learners understand how text-based AI systems work and how these systems support chatbots, customer support, sentiment analysis, and language-based applications.
About The Course
End-to-End NLP with Python: Build Chatbots and LLM Applications is a Pro+ course on Great Learning Academy that helps learners understand NLP and apply it to chatbot and LLM-based applications.
- The course is available on Great Learning Academy through a Pro+ subscription.
- It includes 12.5 hrs of structured learning across NLP, chatbot development, transformers, GPT, BERT, generative AI, and conversational AI.
- Learners receive the End-to-End NLP with Python: Build Chatbots and LLM Applications certificate after completing the course through Pro+.
- The course begins with Natural Language Processing foundations and gradually moves toward text preprocessing, sequence models, and transformer-based models.
- Learners study chatbot development using tools such as RASA and Dialogflow.
- The curriculum introduces applied NLP concepts through GPT, BERT, large language models, and conversational AI.
- The course includes 1 project named AI-Powered Customer Support System for E-commerce, where learners apply NLP concepts to a business use case.
Overview: Course Details
| Course Detail | Information |
|---|---|
| Course Name | End-to-End NLP with Python: Build Chatbots and LLM Applications |
| Category | Artificial Intelligence |
| Platform | Great Learning Academy |
| Access | Pro+ Subscription |
| Duration | 12.5 hrs |
| Project | 1 project |
| Certificate | End-to-End NLP with Python: Build Chatbots and LLM Applications |
| Trial Access | Start 7-Day Free Trial |
| Subscription Benefit | Get course + certificate with Pro+ subscription |
What Makes This Program Different?
Great Learning has designed this course as a complete NLP learning path. It does not stop at theory. It connects NLP basics with chatbot workflows, transformer models, GPT, BERT, and a guided project linked to customer support.
| Program Highlight | What It Means For Learners |
|---|---|
| Build Skills And Get Job Ready | Learners cover Foundations of NLP and applications, text preprocessing and vectorization, sequence models and transformers, chatbot development with RASA and Dialogflow, applied NLP with GPT, and BERT and LLMs. |
| Skill Prep | Academy Pro+ gives access to 500+ courses, 500+ coding exercises, and Microsoft and AWS certificates. |
| Job Prep | Learners get 50+ guided projects, AI Resume Builder, and AI Mock Interviews through Pro+. |
| Earn A Certificate With An Academy Pro+ Subscription | Learners receive the End-to-End NLP with Python: Build Chatbots and LLM Applications certificate. |
| Course Instructors | The course page lists Dr. Abhinanda Sarkar, Senior Faculty and Director Academics, Great Learning, and Mr. Anand Sivaraman Subramaniam, Head, AI Practice. |
Who Should Take This Course?
This course is suitable for learners who want to understand NLP from the ground up and apply it to chatbots, text analysis, and LLM-based applications. It is especially useful for those moving from basic AI awareness to practical NLP work.
- Learners New To NLP: The course begins with NLP foundations, common functions, and basic applications before moving to advanced models.
- Anyone Looking To Work With Text-Based Systems, Chatbots, Transformers, And Real-World Language Applications: The course directly supports this learning need through modules on RASA, Dialogflow, transformers, GPT, and BERT.
- Learners Focused On Chatbot Development: The chatbot section covers chatbot types, intents, entities, dialogue flow, RASA workflows, and hands-on chatbot building.
- Learners Building AI And NLP Skills With Python: The course uses Python-based NLP concepts along with PyTorch, transformer models, and applied LLM workflows.
What Will You Learn?
The curriculum moves from text fundamentals to chatbot development and large language model applications. Learners first understand how language data is prepared, then study models used to process and generate language.
| Module Name | What Learners Study |
|---|---|
| NLP Foundations | Natural Language Processing basics, primary functions, machine translation, and sentiment analysis. |
| Text Mining and Pre-processing | Tokenisation, stemming, lemmatisation, vectorisation, and word vectorization. |
| Sequence Models and Chatbots | Chatbot types, seq2seq models, Dialogflow, RASA, workflows, intents, entities, and hands-on chatbot building. |
| Sequence Models and Transformers | Attention, encoder-decoder structures, and building the transformer in PyTorch. |
| Applied NLP with Transformers and Large Language Models | Sarcasm detection, preprocessing, model building, model training, evaluation, and Large Language Models Demo. |
| GPT and BERT | Introduction to GPT, Introduction to BERT, Hands-on BERT, Named Entity Recognition using BERT, Next Sentence Prediction, Working of BERT, and Masked Language Model. |
| Generative AI Foundations | Generative AI definitions, supervised and unsupervised learning, Discriminative AI vs. Generative AI, history, models, and business problems. |
| Conversational AI | Introduction to Conversational AI, RASA Playground, RASA Workflow, Abstractive Question Answering Hands-on, and Conversational AI Summary. |
| AI-Powered Customer Support System for E-commerce | A guided project using text preprocessing, sentiment analysis, sequence models, transformers, GPT, BERT, and conversational AI frameworks. |
The guided project gives the course a clear business use case. Learners work on an AI-powered customer support system for an e-commerce platform. The project connects text preprocessing, sentiment analysis, sequence models, transformers, GPT/BERT, and conversational AI frameworks into one application-focused workflow.
Final Takeaway
End-to-End NLP with Python: Build Chatbots and LLM Applications gives learners a structured way to study Natural Language Processing and apply it through chatbots and LLM-based applications. The course brings together Python, RASA, Dialogflow, PyTorch, transformers, GPT, BERT, generative AI, and conversational AI in a single Pro+ learning path.
Learners who want to build practical NLP skills and earn a certificate from Great Learning Academy Pro+ should enroll in End-to-End NLP with Python: Build Chatbots and LLM Applications and start learning with the 7-Day Free Trial.
