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: LLM Application, Large Language Modeling, Generative Model Architectures, Natural Language Processing, Open Source Technology, Prompt Engineering, Containerization, Application Deployment, Application Programming Interface (API), Machine Learning

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    Skills you'll gain: Predictive Modeling, Natural Language Processing, Social Media, Text Mining, Cloud Computing, Unstructured Data, Big Data, Analytics, Data Analysis, Geospatial Information and Technology, Machine Learning Methods, Business Intelligence, Internet Of Things, Deep Learning

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    Skills you'll gain: Responsible AI, Generative AI, Microsoft Azure, Image Analysis, Computer Vision, OpenAI, Artificial Intelligence, Natural Language Processing, Machine Learning, Deep Learning, Text Mining, Data Science

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    Skills you'll gain: Amazon Web Services, AWS SageMaker, Amazon S3, Natural Language Processing, Text Mining, Unstructured Data, Solution Architecture, Software Architecture

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    Skills you'll gain: Machine Learning Algorithms, Natural Language Processing, Machine Learning Methods, Applied Machine Learning, Text Mining, Data Processing, Data Cleansing, Predictive Modeling, Python Programming, Data Analysis, Analysis, Algorithms, Integrated Development Environments

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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: Responsible AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Jenkins, CI/CD, Java, Continuous Deployment, Java Programming, Artificial Intelligence, Apache Spark, Applied Machine Learning, Decision Tree Learning, Deep Learning, Machine Learning, Fraud detection, Spring Boot, Natural Language Processing, Regression Analysis, Reinforcement Learning, Debugging

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    Skills you'll gain: Natural Language Processing, Large Language Modeling, Generative AI, Text Mining, Prompt Engineering, LLM Application, Applied Machine Learning, Data Processing