Natural Language Processing
Unlock the power of language AI with our comprehensive NLP course. Learn to build applications that can understand, interpret, and generate human language, from chatbots to translation systems.
What You'll Learn
- Text preprocessing and tokenization techniques
- Word embeddings and semantic similarity
- Sentiment analysis and text classification
- Named entity recognition and information extraction
- Language generation and machine translation
- Working with transformer models and BERT
Course Overview
Natural Language Processing stands at the intersection of linguistics, computer science, and artificial intelligence, enabling machines to understand, interpret, and generate human language in valuable ways. From virtual assistants like Siri and Alexa to real-time translation services and sentiment analysis tools, NLP is transforming how we interact with technology and extract insights from text data.
This comprehensive 10-week course takes you on a journey through the fascinating world of NLP, starting with fundamental concepts and progressing to state-of-the-art techniques. You'll begin by understanding how computers process and represent text, learning about tokenization, stemming, lemmatization, and building vocabularies. From there, you'll explore classical NLP methods including n-gram models, TF-IDF, and traditional machine learning approaches to text classification.
The course then transitions into modern deep learning approaches to NLP. You'll learn about word embeddings like Word2Vec and GloVe, understanding how these representations capture semantic relationships between words. We'll explore sequence models including RNNs and LSTMs for tasks like language modeling and machine translation. The curriculum culminates with transformer-based models, where you'll work with BERT, GPT, and other cutting-edge architectures that have revolutionized the field.
Practical applications are at the heart of this course. You'll build real-world projects including a sentiment analysis system for social media monitoring, a chatbot using intent recognition and entity extraction, a text summarization tool, and a question-answering system. Each project is designed to give you hands-on experience with popular NLP libraries including NLTK, spaCy, Hugging Face Transformers, and Gensim.
Our instructors are NLP practitioners who have built language understanding systems used by millions of people. They'll share insights into best practices, common challenges, and emerging trends in the field. With access to pre-trained models, extensive code examples, and a supportive learning community, you'll develop the skills needed to tackle complex language processing challenges and build innovative NLP applications.