What is covered in the NLP course at AlgoAcademy Chennai?

The NLP course covers text preprocessing, tokenization, word embeddings, BERT fine-tuning, Transformer architecture, spaCy, HuggingFace and building end-to-end NLP pipelines.

What projects will I build in the AI with NLP course?

You will build a customer support chatbot, sentiment analysis API, resume parser, multilingual text classifier and a document summarisation tool.

What is the difference between NLP and Generative AI?

NLP focuses on understanding and processing text (classification, NER, summarisation). Generative AI uses large language models to create new text, code or content. Both skills complement each other well.

What salary can I expect after an NLP course in Chennai?

NLP engineers in Chennai earn ₹7–18 LPA depending on experience and projects. Roles include NLP Engineer, ML Engineer and AI Researcher.

Is the NLP course suitable for non-technical backgrounds?

A basic understanding of Python is helpful. We cover all required Python and ML concepts at the start of the course so you can follow along effectively.

NLP Course in Chennai | BERT Transformers

📚 Course Syllabus

NLP Skills You'll Master

Every module is outcome-driven — you build something real at the end of each one.

NLP pipelineNLTKspaCyTokenizationPOS taggingNER

Build a text preprocessing pipeline from scratch

Extract named entities from documents

Tag parts of speech for downstream tasks

Clean and structure any text data for AI processing

Bag of WordsTF-IDFCountVectorizerN-gramsVocabulary building

Convert text to numerical features

Measure word importance with TF-IDF

Build document similarity systems

Represent text numerically for ML models

Word2VecGloVeFastTextEmbedding spaceCosine similarity

Train custom word embeddings

Visualize word relationships in 2D

Build semantic search systems

Represent word meaning in high-dimensional vector space

Naive BayesSVM for textLogistic RegressionMulti-classEvaluation

Build spam and sentiment classifiers

Handle imbalanced text datasets

Evaluate with precision, recall, F1

Build production-ready text classification systems

RNNLSTMGRUSequence-to-sequenceLanguage modeling

Build recurrent models for text sequences

Train character-level language models

Apply LSTMs to sentiment analysis

Build models that understand language context and order

Self-attentionMulti-head attentionPositional encodingEncoder-decoderTransformer architecture

Implement attention mechanism from scratch

Understand how BERT and GPT are built

Build a mini transformer in PyTorch

Understand the architecture powering every modern LLM

BERTHuggingFaceFine-tuningTask-specific headsTransfer learning

Fine-tune BERT for classification and NER

Use HuggingFace pipelines for rapid prototyping

Evaluate BERT vs classic models

Fine-tune state-of-the-art transformer models for any NLP task

FastAPIStreamlitModel serializationBatch inferenceCloud deploy

Expose NLP models via REST APIs

Build interactive text apps with Streamlit

Handle concurrent requests in production

Deploy NLP models as production-grade APIs and web apps

🛠 Tech Stack

NLP Tools & Frameworks

Industry-standard tools you'll use throughout this program — exactly what employers want.

🤗

HuggingFace

Transformers hub

🔥

PyTorch

Model training

🌿

NLTK

Text preprocessing

🐯

spaCy

Industrial NLP

⚡

FastAPI

API serving

🎯

Streamlit

App deploy

🔢

Scikit-learn

Classic ML

📓

Jupyter

Experimentation

💻 Real Projects

NLP Applications You'll Build

Portfolio-ready projects that demonstrate your skills to recruiters from day one.

PROJECT 01

BERT Sentiment Analyzer

Fine-tune BERT on IMDb and Twitter datasets — deployed as a REST API.

HuggingFaceBERTFastAPIPyTorch

✅ Live sentiment API with 92%+ accuracy

PROJECT 02

AI Chatbot

Rule-based + transformer-based hybrid chatbot for customer support queries.

spaCyTransformersStreamlitPython

✅ Interactive chatbot deployed as a web app

PROJECT 03

Smart Email Classifier

Classify emails into categories (spam, urgent, promotions) using TF-IDF and BERT.

Scikit-learnBERTPandasFastAPI

✅ Production email classification API

PROJECT 04

Named Entity Extractor

Extract people, organizations, locations from news articles in real time.

spaCyNLTKStreamlitBeautifulSoup

✅ Real-time entity extraction dashboard

🎯 Transformation

NLP Engineer Roles You'll Land

By the end of this program, you won't just have knowledge — you'll have career-changing proof.

💬

NLP Engineer

₹12L–₹28L at Zoho, IBM, Freshworks

🤖

Chatbot Builder

Deploy AI chatbots end-to-end

🔍

Text Intelligence

Process millions of text documents

🚀

LLM Ready

Seamless path into Generative AI

🏢 Placement Network

Our Students Work Here

Frequently Asked Questions

About the AI with NLP Course in Chennai

The NLP course is 3 months long covering text processing, classical NLP, BERT, Transformers, HuggingFace and building production NLP applications.

You will learn NLTK, spaCy, HuggingFace Transformers, BERT, GPT, sentence-transformers and Streamlit for building and deploying NLP applications.

Basic Python knowledge is helpful but not mandatory. The program covers Python fundamentals before moving into NLP concepts.

NLP engineers in India typically earn ₹8–18 LPA. Specialists with BERT, Transformers and HuggingFace experience at product companies can command ₹25 LPA and above.

You will build a sentiment analysis system, chatbot, text summariser, named entity recognition tool and a BERT-powered document search engine.

NLP Course in Chennai — BERT, Transformers & Text AI

NLP Skills You'll Master

NLP Tools & Frameworks

NLP Applications You'll Build

NLP Engineer Roles You'll Land

Our Students Work Here

Start Your AI Journey Today

Frequently Asked Questions

About the AI with NLP Course in Chennai

NLP Course in Chennai — BERT, Transformers & Text AI

NLP Skills You'll Master

NLP Tools & Frameworks

NLP Applications You'll Build

NLP Engineer Roles You'll Land

Our Students Work Here

Start Your AI Journey Today

Frequently Asked Questions

About the AI with NLP Course in Chennai

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