Natural Language Processing Courses

111 Courses

Generative AI: Boost Your Cybersecurity Career

This short course provides cybersecurity professionals and enthusiasts with the latest Generative AI tools to address complex cybersecurity challenges. The course focuses on combating the exploitation of undetected vulnerabilities for which organizations increasingly turn to Artificial Intelligence (AI) and Machine Learning (ML). Generative A.
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provider Coursera
pricing Free Online Course (Audit)
duration 10 hours
sessions On-Demand

NLP. Procesamiento del lenguaje natural con NLP y Python

NLP: Procesamiento del Lenguaje Natural con NLP y Python | Udemy Aprende a usar Machine Learning, Scikit-learn, Spacy y NLTK para procesar textos de ficheros y documentos con NLP. Este curso te ofrece habilidades prácticas y conocimientos fundamentales para dominar el Procesamiento del Lenguaje Natural con Python. University: Udemy Python Cour.
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Introduction to NLP for Data Practitioners

Introduction to NLP for Data Practitioners Have you ever wondered how virtual assistants understand voice commands or how social media deciphers sentiments? This course will teach you how to extract insights from text data by executing an end-to-end NLP pipeline. Besides deriving meaningful insights from data such a.
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AWS Machine Learning Engineer Nanodegree

AWS Machine Learning Engineer Nanodegree AWS Machine Learning Engineer Nanodegree The AWS Machine Learning Engineer (MLE) Nanodegree program aims to empower software developers and data scientists with essential data science and machine learning skills. This program emphasizes the construction and deployment of machine learning.
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Natural Language Processing

Natural Language Processing Course | Udacity Master the skills to get computers to understand, process, and manipulate human language with Udacity's comprehensive Natural Language Processing course. Build models on real data, and gain hands-on experience with key techniques like sentiment analysis and machine translation. U.
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2025 Introduction to Spacy for Natural Language Processing

Embark on an exciting journey into the world of Natural Language Processing and boost your career in Data Science. This course offers an in-depth introduction to Spacy, a leading tool in NLP. Unlike other courses, NLTK is not part of this curriculum, allowing you to dive deep into mastering Spacy. Conducted by renowned experts on Udemy, thi.
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Machine Learning: Master the Fundamentals

Discover the essentials of machine learning with Udemy's comprehensive course, "Machine Learning: Master the Fundamentals." This online course guides you through the intricacies of Python programming, Natural Language Processing (NLP), and Deep Learning techniques. Whether you're a beginner or looking to upgrade your skills, this course provi.
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Sentiment Analysis with NLP using Python and Flask

Embark on an enlightening journey with the "Sentiment Analysis with NLP using Python and Flask" course offered by Udemy. This course encompasses the enticing domains of Sentiment Analysis and Natural Language Processing (NLP), fortified by Python and Flask, providing a hands-on project to solidify your learning. As you delve into this course,.
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Hands On Natural Language Processing (NLP) using Python

Embark on a comprehensive journey through the intricate world of Natural Language Processing (NLP) using Python with this hands-on course. Perfect for enthusiasts and professionals alike, this course offered by Udemy provides an exhaustive exploration of NLP and Text Mining techniques. Learn how to construct robust text classifiers and e.
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AWS Machine Learning Engineer Nanodegree

AWS Machine Learning Engineer Nanodegree The AWS Machine Learning Engineer (MLE) Nanodegree program aims to provide software developers and data scientists with the essential data science and machine learning expertise needed to create and deploy machine learning models in production using Amazon SageMaker. The curriculum emphasizes the latest b.
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provider Udacity  Nanodegree
pricing Paid Course
duration 6 months

Who is a neural network developer?

An NLP engineer is a specialist who has competences in the fields of applied mathematics, linguistics and software development.

Introduction to NLP

As a technical specialist, an NLP engineer is responsible for empowering businesses with natural language processing. He implements knowledge-intensive rules and algorithms and applies machine learning (ML) tools.

In addition, an NLP engineer solves tasks of analysing and extracting information from texts, including ML methods. However, his tasks may not be limited to machine learning, as some of them require advanced knowledge of mathematics, linguistics and algorithm theory.

And of nlp courses, an NLP engineer should be a good programmer. In order to analyse and extract data from texts, you need not only to answer a lot of engineering challenges, but also to be able to prepare such data correctly.

In 2017, there was a revolution in the field of artificial intelligence and machine learning. The neural network architecture "transformer" appeared. It allowed to achieve incredible results in solving tasks of automated text data processing.

NLP-engineers got tools that in a short period of time significantly improved the quality of analysing unstructured information.

Learning Outcomes

Profile skills, without which the specialist will not be able to fulfil the assigned tasks:

Personal qualities allow you to perform work nlp online courses tasks efficiently and move up the career ladder.

Career Pathways and Enrollment Details

NLP jobs in most cases require a major in computer science, computational maths, physics or related fields. Sometimes at least a Master's degree or a specialisation.

But there are other options: for example, nlp deep learning courses. For this you need to fill in an application form on the website and you are already a student. Don't waste time, join machine learning nlp courses now.

The pool of work in the natural language based neural network training profession depends directly on the specific business objective. For example, a large marketplace wants a query processing system to understand human-entered text and show the right product. In this case, an NLP engineer will proceed after neuro linguistic programming courses as follows:

A profession in machine learning and natural language processing involves a combination of three components. The specialist should have a deep knowledge of mathematics and statistics, be able to program at a high level, and have an understanding of linguistics. The NLP Engineer profession is quite new and not all employers separate it from a Machine Learning Engineer (ML Engineer), although the specifics of work and knowledge of these specialists can be very different!