Understand the core principles and challenges of Natural Language Processing. Learn text preprocessing, tokenization, and feature extraction techniques. Explore machine learning and deep learning methods used in NLP. Gain hands-on experience with tools like NLTK, spaCy, and Hugging Face Transformers. Build practical NLP applications such as chatbots, sentiment analyzers, and text classifiers. Understand ethical considerations and the impact of NLP in AI systems.
The Natural Language Processing Fundamentals course introduces learners to one of the most fascinating and rapidly advancing areas of Artificial Intelligence — teaching computers to understand, interpret, and generate human language. This course bridges the gap between linguistics and machine learning, providing a solid foundation in both theory and application.
Through a combination of interactive lessons and hands-on projects, students will explore how text data is processed, represented, and analyzed. They’ll learn to build models that can extract meaning, detect sentiment, summarize information, and even generate text. Using industry-standard tools like Python, NLTK, spaCy, and Hugging Face, learners will develop real-world applications that demonstrate the power of NLP.
This program is ideal for data scientists, AI enthusiasts, and developers who want to expand their expertise in machine learning and work on language-based AI projects such as chatbots, voice assistants, or document analysis systems.
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