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Intermediate10 weeks

Natural Language Processing (NLP)

Teach computers to read, understand, and generate human language.

BERT, transformers, and text AI.

What You'll Learn

Preprocess raw text: tokenisation, stemming, lemmatisation, stopword removal
Represent text with Bag of Words, TF-IDF, and word embeddings
Train Word2Vec and GloVe embeddings on custom corpora
Fine-tune transformer models (BERT) with HuggingFace
Perform sentiment analysis, NER, and text classification
Generate text with GPT-2 and sequence-to-sequence models
Deploy an NLP model as a REST API

Course Curriculum

Week 1–2Text Preprocessing
  • Tokenisation and normalisation
  • Stopword removal and stemming (NLTK, spaCy)
  • Regex for text cleaning
  • Bag of Words and TF-IDF vectorisation
Week 3–4Word Embeddings
  • Word2Vec (CBOW and Skip-gram)
  • GloVe pre-trained embeddings
  • Sentence similarity with cosine distance
  • Visualising embeddings with t-SNE
Week 5–7Transformers & BERT
  • Attention mechanism and self-attention
  • BERT architecture and tokenisation
  • Fine-tuning BERT for classification
  • HuggingFace Transformers library
Week 8–9NLP Applications
  • Named Entity Recognition (NER)
  • Question answering systems
  • Text summarisation (extractive & abstractive)
  • Machine translation basics
Week 10Deployment & Capstone
  • Exporting HuggingFace models
  • REST API with FastAPI
  • Building an AI chatbot
  • Capstone project presentations

Projects You'll Build

Sentiment analysis engine (Twitter data)Resume keyword extractorAI-powered news summariserCustomer support chatbot

Tools & Technologies

PythonNLTKspaCyHuggingFace TransformersPyTorchFastAPIGoogle Colab
Prerequisites
  • ▸Machine Learning Essentials
  • ▸Comfort with Python and Pandas
Who It's For
  • ▸College students (CS, AI, linguistics)
  • ▸Developers building chatbots or text tools
  • ▸Anyone interested in search, summarisation, or language AI

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Natural Language Processing (NLP)

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10 weeks
Duration
Intermediate
Level
Yes
Certificate
Online / Offline
Mode