Course Description
This concise course provides an applied introduction to Natural Language Processing (NLP), covering fundamental concepts, common techniques, and their practical application in developing conversational AI systems. Students will learn to process, analyze, and understand human language using computational methods, exploring topics such as text pre-processing, feature extraction, word embeddings (like Word2Vec and BERT), and sequence models. A significant focus is placed on the design and implementation of intelligent chatbots, covering architecture, intent recognition, entity extraction, dialogue management, and deployment strategies. Practical exercises will use popular NLP libraries and frameworks. By the end of the course, students will be able to build and evaluate functional NLP models and simple, task-oriented chatbots.
Course Content
1. Introduction to NLP
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Introduction to NLP
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Key Concepts
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Example
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Takeaway
Lessons:
