Certified Professional in AI for Natural Language Processing
-- ViewingNowThe Certified Professional in AI for Natural Language Processing course is a comprehensive program that equips learners with essential skills in AI-driven natural language processing (NLP). This course is increasingly important as businesses rely more on NLP technologies to analyze customer interactions, improve sentiment analysis, and enhance decision-making processes.
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• Introduction to AI & NLP: Basics of Artificial Intelligence, Natural Language Processing, and its importance.
• Text Preprocessing: Tokenization, Stop-word removal, Stemming, Lemmatization, and Cleaning techniques.
• Feature Extraction: Bag of Words, TF-IDF, N-grams, and Word Embeddings.
• Deep Learning for NLP: Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), and Gated Recurrent Units (GRU).
• Convolutional Neural Networks (CNN) for NLP: Text classification, Sentiment analysis, and Named Entity Recognition.
• Transformers & Attention Mechanisms: Transformer architecture, Self-attention, and Multi-head attention.
• BERT & Transfer Learning: BERT model, Fine-tuning, and Application cases.
• Question Answering & Chatbots: QA systems, Dialogue management, and Chatbot development.
• Evaluation Metrics: Accuracy, Precision, Recall, F1-score, Perplexity, and ROUGE.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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