Master in Artificial Intelligence and Natural Language Processing
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Syllabus
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Summary
Natural language processing (PLN) is a fundamental discipline or branch in artificial intelligence, with chatbots applications, virtual assistants, content automation and automatic translation. This mastery in natural language processing will help you obtain advanced knowledge about models such as GPT, Bert and Transformers, addressing their training, evaluation and deployment. During training techniques are explored to text generation, automatic summary and NLG in multimodality, along with tools such as Spacy, NLTK, Tensorflow and Hugging FACE. In addition, aspects of mlops, explainability and deployment in the cloud are covered, allowing scalable and efficient PLN solutions to be implemented.
Goals
Professional opportunities
To prepare you
Natural language processing (PLN) is a fundamental discipline or branch in artificial intelligence, with chatbots applications, virtual assistants, content automation and automatic translation. This mastery in natural language processing will help you obtain advanced knowledge about models such as GPT, Bert and Transformers, addressing their training, evaluation and deployment. During training techniques are explored to text generation, automatic summary and NLG in multimodality, along with tools such as Spacy, NLTK, Tensorflow and Hugging FACE. In addition, aspects of mlops, explainability and deployment in the cloud are covered, allowing scalable and efficient PLN solutions to be implemented.
Who is it addressed to?
Natural language processing (PLN) is a fundamental discipline or branch in artificial intelligence, with chatbots applications, virtual assistants, content automation and automatic translation. This mastery in natural language processing will help you obtain advanced knowledge about models such as GPT, Bert and Transformers, addressing their training, evaluation and deployment. During training techniques are explored to text generation, automatic summary and NLG in multimodality, along with tools such as Spacy, NLTK, Tensorflow and Hugging FACE. In addition, aspects of mlops, explainability and deployment in the cloud are covered, allowing scalable and efficient PLN solutions to be implemented.
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Certification
Official Master's degree in Artificial Intelligence and Natural Language Processing from the Davinci University with the recognition of Official Validity of Studies (RVOE).
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