NLP

NLP — Course #407 · Powers Every AI Assistant

Teach Machines

Human Language 💬

NLP powers Siri, Alexa, ChatGPT, Google Translate, and Gmail Smart Reply. Master text preprocessing, word embeddings, transformers (BERT, GPT), sentiment analysis, NER, chatbots, and conversational AI — the skills behind every language-aware product built today.

Text Preprocessing TF-IDF & Embeddings BERT & GPT Transformers Sentiment Analysis NER Chatbots spaCy & NLTK Hugging Face Seq2Seq Models

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NLP — BERT Sentiment Analysis

from transformers import pipeline
nlp = pipeline("sentiment-analysis",
              model="distilbert-base-uncased")
results = nlp([
  "This course is absolutely amazing!",
  "I struggled with the concepts."
])
# [{'label': 'POSITIVE', 'score': 0.999},
#  {'label': 'NEGATIVE', 'score': 0.991}]

35K+

Jobs

NLP roles

40 hrs

Duration

Video content

Modules

Full syllabus

Cert

Included

Industry recognised

24/7

Support

Expert guidance

What You Master

The Complete NLP Skill Set

From text preprocessing and embeddings to Transformer models, chatbots, and production NLP systems.

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Transformers — BERT, GPT & LLMs

Master the Transformer architecture — self-attention, multi-head attention, encoder-decoder stacks. Fine-tune BERT for text classification, NER, and Q&A. Use GPT for text generation. Work with Hugging Face Transformers library to deploy state-of-the-art NLP models for production applications.

BERT Fine-TuningGPTHugging FaceSelf-AttentionNERClassificationQ&A SystemsSummarization

📝

Text Processing & Feature Engineering

Tokenization, stemming, lemmatization, TF-IDF, Word2Vec, GloVe — complete NLP preprocessing pipeline.

🤖

Chatbots & Conversational AI

Build intelligent chatbots with BERT Q&A, Rasa, Dialogflow, and OpenAI APIs for customer service automation.

🌍

Machine Translation & Text Generation

Seq2Seq models with attention, GPT fine-tuning for text generation, and neural machine translation systems.

Seq2SeqAttentionGPT

Syllabus

Course Curriculum

10 modules — from NLP basics to Transformers, LLMs, chatbots, and production deployment.

What is NLP & how machines understand language
Applications — Chatbots, Translation, Sentiment Analysis, Search
NLP Challenges — Ambiguity, Sarcasm, Polysemy
NLP Tools Overview — NLTK, spaCy, Hugging Face, Stanford NLP

Text Cleaning — Lowercasing, Stopword Removal, Punctuation
Tokenization — Word, Sentence, Subword (BPE)
Stemming vs. Lemmatization
Part-of-Speech (POS) Tagging & Dependency Parsing
Named Entity Recognition (NER)

Bag of Words (BoW) & N-grams
TF-IDF — Term Frequency-Inverse Document Frequency
Word Embeddings — Word2Vec, GloVe, FastText
Contextual Embeddings — ELMo, BERT, GPT

Supervised Learning for NLP — Naïve Bayes, Logistic Regression, SVM
Neural Networks for Text Classification
Sentiment Analysis with pretrained models
Using Hugging Face Pipelines for classification

Recurrent Neural Networks (RNNs) for NLP
LSTMs & GRUs for sequence problems
Language Models — N-gram to Neural
Transformer Architecture — Attention Mechanism, Self-Attention

BERT Architecture & Pre-training Objectives
Fine-tuning BERT for Classification, NER, Q&A
GPT Architecture & Autoregressive Generation
RoBERTa, DistilBERT, T5 — Efficient Transformers

Rule-Based vs Statistical vs Neural Translation
Seq2Seq with Attention Mechanism
Fine-tuning GPT for Text Generation
Summarization — Extractive vs Abstractive

Rule-Based vs ML-Based NER
Training Custom NER with spaCy & Hugging Face
Relation Extraction & Knowledge Graphs
Information Retrieval & Semantic Search

Open-Domain vs Closed-Domain Q&A
BERT for Extractive Q&A (SQuAD)
Building Chatbots with Rasa and Dialogflow
GPT-Powered Conversational Assistants

Zero-Shot & Few-Shot Learning in NLP
Multimodal NLP — Text + Images
Large Language Models — GPT-4, PaLM, LLaMA
Deploying NLP APIs with FastAPI & Hugging Face Spaces

Career Outcomes

NLP Careers in 2026

NLP powers every AI assistant, chatbot, and LLM. With the explosion of GenAI, demand for NLP engineers has never been higher. Google, OpenAI, Meta, Amazon, and thousands of startups actively recruit NLP specialists.

₹14–45L

India Avg LPA

$120K–$220K

USA Avg

35K+

Active Jobs

55% Growth

Year-on-Year

NLP Engineer

Build text processing pipelines, train NER models, and fine-tune transformer models for production apps

₹14–38 LPA · $120K–$190K USA

Conversational AI Developer

Design and build chatbots, voice assistants, and dialogue systems using BERT, GPT, and LangChain

₹16–42 LPA · $130K–$205K USA

LLM Engineer

Fine-tune and deploy large language models (GPT-4, LLaMA, Mistral) for enterprise AI applications

₹20–55 LPA · $145K–$230K USA

Search & Information Retrieval Engineer

Build semantic search, RAG pipelines, and knowledge graph systems for intelligent information systems

₹15–40 LPA · $125K–$200K USA

Teach Machines

Human Language 💬

The Complete NLP Skill Set

Course Curriculum

NLP Careers in 2026

Ready to Master NLP?