Language AI

Natural Language Processing

Teach machines to understand, process, and generate human language with cutting-edge NLP techniques

15 Weeks
Intermediate
Specialized Certificate

Program Overview

Our Natural Language Processing program focuses on teaching machines to understand, interpret, and generate human language. You'll learn to build chatbots, sentiment analysis systems, language translation tools, and advanced text generation models using state-of-the-art NLP techniques.

This comprehensive program covers text preprocessing, word embeddings, sequence models, transformer architectures, and modern language models like BERT and GPT. You'll work with popular NLP libraries like NLTK, spaCy, Transformers, and Hugging Face to build real-world language understanding applications.

20+
NLP Techniques
10
Language Models
96%
Success Rate

Language Processing Pipeline

Curriculum

From text processing basics to advanced language models

1

Text Processing Fundamentals

Weeks 1-3
  • Text preprocessing and cleaning
  • Tokenization and normalization
  • Part-of-speech tagging
  • Named entity recognition
  • Regular expressions and text patterns
2

Word Embeddings & Vectorization

Weeks 4-5
  • Bag of words and TF-IDF
  • Word2Vec and GloVe embeddings
  • FastText and subword embeddings
  • Document embeddings and similarity
  • Word sense disambiguation
3

Sequence Models & RNNs

Weeks 6-8
  • Recurrent Neural Networks (RNNs)
  • LSTM and GRU architectures
  • Sequence-to-sequence models
  • Text classification with RNNs
  • Language modeling and generation
4

Transformer Architecture

Weeks 9-11
  • Attention mechanism and self-attention
  • Transformer encoder and decoder
  • BERT and bidirectional training
  • GPT and autoregressive generation
  • Fine-tuning pre-trained models
5

Advanced NLP Applications

Weeks 12-13
  • Sentiment analysis and opinion mining
  • Machine translation and multilingual models
  • Question answering systems
  • Text summarization and generation
  • Chatbots and conversational AI
6

Modern Language Models & Deployment

Weeks 14-15
  • Large language models (LLMs)
  • Prompt engineering and in-context learning
  • Model optimization and quantization
  • NLP model deployment and APIs
  • Ethics in NLP and bias mitigation

Skills You'll Master

Comprehensive NLP expertise for language AI professionals

Text Processing

  • NLTK & spaCy
  • Tokenization
  • POS Tagging
  • NER

Word Embeddings

  • Word2Vec
  • GloVe
  • FastText
  • Contextual Embeddings

Language Models

  • BERT
  • GPT
  • Transformers
  • Fine-tuning

NLP Applications

  • Chatbots
  • Sentiment Analysis
  • Machine Translation
  • Text Generation

Real-World Projects

Build practical NLP applications

Intelligent Chatbot

Develop a sophisticated chatbot using transformer models for customer service and support applications.

GPT Conversational AI

Sentiment Analysis Platform

Build a comprehensive sentiment analysis system for social media monitoring and brand reputation management.

BERT Sentiment Analysis

Machine Translation System

Create a neural machine translation system supporting multiple languages using sequence-to-sequence models.

Transformer Multilingual

Document Summarization

Develop an AI-powered document summarization tool for legal, medical, and business document processing.

Extractive Summarization Abstractive Summarization

Career Outcomes

Exciting opportunities in NLP and language AI

NLP Engineer

Build advanced language processing systems and models

$90,000 - $170,000

Conversational AI Developer

Create intelligent chatbots and virtual assistants

$85,000 - $160,000

Search Engine Engineer

Develop search algorithms and information retrieval systems

$95,000 - $180,000

AI Research Scientist

Conduct research in natural language understanding

$100,000 - $200,000

Ready to Master Language AI?

Join the NLP revolution and build the next generation of language understanding systems.

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