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Introduction for NLP basic To Advance Course

Introduction for NLP basic To Advance Course

Natural Language Processing (NLP) is a branch of AI that enables computers to understand and work with human language. It powers tools like chatbots, translators, voice assistants, and text-analysis systems by helping machines read, interpret, and generate text.

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Expiry period Lifetime
Made in Bangla
Last updated at Thu Jan 2026
Level
Beginner
Total lectures 13
Total quizzes 0
Total duration 129:29:00 Hours
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Short description Natural Language Processing (NLP) is a branch of AI that enables computers to understand and work with human language. It powers tools like chatbots, translators, voice assistants, and text-analysis systems by helping machines read, interpret, and generate text.
Outcomes
  • Review the history and evolution of NLP techniques and applications, from traditional machine learning models to modern LLM approaches
  • Use traditional machine learning techniques to perform sentiment analysis, text classification, and topic modeling
  • Break down the main parts of the Transformers architecture, including embeddings, attention and feedforward neural networks (FFNs)
  • Walk through the NLP text preprocessing pipeline, including cleaning, normalization, linguistic analysis, and vectorization
  • Understand the theory behind neural networks and deep learning, the building blocks of modern NLP techniques
  • Use pretrained LLMs with Hugging Face to perform sentiment analysis, NER, zero-shot classification, document similarity, and text summarization & generation
Requirements
  • We strongly recommend taking our Data Prep & EDA with Python course first
  • Jupyter Notebooks (free download, we'll walk through the install)
  • Familiarity with base Python and Pandas is recommended, but not required Description