Natural Language Processing

Natural Language Processing (NLP) is an interdisciplinary field combining computer science, artificial intelligence and linguistics, aimed at enabling computers to understand, interpret, and generate human language. Coursera's NLP catalogue teaches you about the theoretical foundations and practical applications of NLP. You'll learn to develop systems for tasks such as text classification, machine translation, sentiment analysis, and speech recognition. You'll also gain a comprehensive understanding of various NLP algorithms, techniques for semantic analysis, and the use of machine learning and deep learning in NLP. By mastering these skills, you'll be prepared to create intelligent systems that can interact and interpret human language effectively.
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Find the best NLP course for your goals

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    Skills you'll gain: Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Time Series Analysis and Forecasting, Data Analysis, Machine Learning, Unstructured Data, Data Cleansing, Data Processing, Applied Machine Learning, Deep Learning, Unified Modeling Language, Machine Learning Algorithms

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    Skills you'll gain: Responsible AI, Microsoft Azure, Artificial Intelligence, Data Ethics, Image Analysis, Natural Language Processing, Computer Vision, No-Code Development, Text Mining, Machine Learning, Supervised Learning

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    Skills you'll gain: Generative Model Architectures, Generative AI, OpenAI, Large Language Modeling, Prompt Engineering, Artificial Neural Networks, Deep Learning, Natural Language Processing, Machine Learning Methods

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    Skills you'll gain: LLM Application, Generative AI, Natural Language Processing, Multimodal Prompts, Application Deployment, Open Source Technology, Applied Machine Learning, Image Analysis, User Interface (UI), Computer Vision

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    University of Michigan

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