Natural Language Processing - Course Outline

Detailed Course Outline for Natural Language Processing course. The 16-week intermediate course is designed to equip learners with both theoretical foundations and practical skills in language understanding for AI and robotics. The course begins with core concepts such as text preprocessing, speech processing, and text representation, and progresses through advanced topics including sentiment analysis, named entity recognition, topic modeling, and language models like BERT and GPT. It also covers machine translation, conversational AI, summarization, and question answering, with a strong emphasis on ethical considerations and responsible NLP practices. Each module includes hands-on labs using tools like NLTK, SpaCy, Hugging Face, and Scikit-learn, culminating in a final project or exam to demonstrate applied knowledge.

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