NLP 10 Weeks • Live Sessions

Natural Language Processing

Build chatbots, sentiment analysis tools, and language models using transformers and modern NLP techniques. Master the art of making machines understand human language.

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650+ enrolled

What You'll Master

  • Transformer Architectures
  • BERT, GPT & T5 Models
  • Chatbot Development
  • Text Generation & Summarization

Course Overview

Dive deep into Natural Language Processing with this comprehensive 10-week course. You'll learn to build intelligent systems that can understand, interpret, and generate human language using cutting-edge transformer architectures and pre-trained models.

From basic text preprocessing to advanced language models like BERT and GPT, you'll gain hands-on experience with the latest NLP techniques. Build chatbots, sentiment analyzers, and text generation systems that businesses are actively seeking.

Curriculum

Weeks 1-2: NLP Foundations

  • • Text Preprocessing and Tokenization
  • • Word Embeddings (Word2Vec, GloVe)
  • • Named Entity Recognition
  • • Part-of-Speech Tagging

Weeks 3-4: Traditional ML for NLP

  • • Text Classification with Naive Bayes
  • • TF-IDF and N-gram Models
  • • Sentiment Analysis Techniques
  • • Topic Modeling with LDA

Weeks 5-6: Deep Learning for NLP

  • • RNNs and LSTMs for Sequence Modeling
  • • Attention Mechanisms
  • • Sequence-to-Sequence Models
  • • Introduction to Transformers

Weeks 7-8: Modern NLP with Transformers

  • • BERT for Text Understanding
  • • GPT for Text Generation
  • • Fine-tuning Pre-trained Models
  • • Hugging Face Transformers Library

Weeks 9-10: Advanced Applications

  • • Conversational AI and Chatbots
  • • Text Summarization Systems
  • • Question Answering Models
  • • Production NLP Deployment

Projects You'll Build

Customer Service Chatbot

Build an intelligent chatbot that can handle customer inquiries using transformers.

News Summarization Engine

Automatically summarize news articles using extractive and abstractive techniques.

Social Media Sentiment Monitor

Real-time sentiment analysis of social media posts and brand mentions.

Document QA System

Question-answering system that can understand and respond to document queries.

Course Details

Duration: 10 weeks
Schedule: 2x/week
Time: 7-9 PM EST
Format: Live Online
Students: Max 20
Level: Intermediate

Prerequisites:

  • • Python programming experience
  • • Basic machine learning knowledge
  • • Understanding of neural networks

What's Included:

  • 20 Live Sessions
  • Pre-trained Model Access
  • 4 Capstone Projects
  • Code Review Sessions
  • Industry Certification

Meet Your Instructor

Learn from NLP experts

EP

Dr. Elena Petrov

Senior NLP Researcher at OpenAI

Dr. Petrov is a leading researcher in natural language processing with 12+ years of experience. She has contributed to major breakthroughs in transformer architectures and has published 40+ papers in top-tier conferences. She previously led NLP teams at Google and Microsoft.