Global Certificate in Practical Language AI Techniques
-- ViewingNowThe Global Certificate in Practical Language AI Techniques is a crucial course designed to meet the surging industry demand for AI literacy. This certificate program empowers learners with essential skills in Natural Language Processing, Chatbot Development, and Text Analytics, making them highly attractive to employers in today's data-driven world.
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โข Introduction to Language AI Techniques: Overview of language AI techniques, including natural language processing (NLP), natural language understanding (NLU), and natural language generation (NLG).
โข Data Preprocessing for Language AI: Techniques for preparing and cleaning text data, including tokenization, stemming, lemmatization, and stop word removal.
โข Word Embeddings and Neural Networks: Introduction to word embeddings and neural networks, including word2vec, GloVe, and recurrent neural networks (RNNs).
โข Text Classification and Sentiment Analysis: Techniques for classifying text into categories and analyzing sentiment, including logistic regression, decision trees, and support vector machines (SVMs).
โข Named Entity Recognition and Information Extraction: Methods for identifying and extracting named entities from text, including part-of-speech tagging, named entity recognition (NER), and dependency parsing.
โข Question Answering and Dialogue Systems: Approaches for building question answering systems and dialogue systems, including sequence-to-sequence models and transformers.
โข Evaluation Metrics for Language AI: Techniques for evaluating the performance of language AI models, including precision, recall, F1 score, perplexity, and BLEU score.
โข Ethics and Bias in Language AI: Discussion of ethical considerations and potential sources of bias in language AI, including fairness, accountability, and transparency.
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