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Certificate Programme in Introduction to Natural Language Processing
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- Introduction to Natural Language Processing
- Text Preprocessing and Cleaning: Tokenization, Stemming, Lemmatization
- Word Embeddings and Vector Representations: Word2Vec, GloVe
- Recurrent Neural Networks (RNNs) for NLP
- Natural Language Understanding: Part-of-Speech Tagging and Named Entity Recognition
- Sentiment Analysis and Opinion Mining
- Machine Translation
- Introduction to Deep Learning for NLP
CareerPath
Career Role Description Natural Language Processing (NLP) Engineer Develops and implements NLP algorithms and models for various applications, including machine translation and chatbot development.
High demand, excellent salary potential.
NLP Data Scientist Collects, cleans, and analyzes large datasets to train and improve NLP models.
Requires strong statistical and programming skills.
Growing market with competitive salaries.
NLP Research Scientist Conducts cutting-edge research in NLP, pushing the boundaries of the field.
Requires advanced knowledge and a PhD in a related field.
Highly specialized role.
Linguistics Specialist (NLP) Applies linguistic knowledge to improve the performance of NLP systems.
Crucial for ensuring accuracy and natural language understanding.
Strong demand.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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- TwoThreeHoursPerWeek
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