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Natural Language Processing Courses

117 Courses

California Institute of Technology Miríadax

moocTLH: Nuevos retos en las tecnologías del lenguaje humano

Descubre los fundamentos y desafíos de las Tecnologías del Lenguaje Humano (TLH) con el curso "moocTLH: Nuevos retos en las tecnologías del lenguaje humano", ofrecido por Miríadax. Aunque este MOOC ya se realizó, registrándote podrás acceder a los contenidos clave y vídeos, aunque sin opción a realizar actividades o certificación. Mantente atento p.
provider Miríadax
pricing Free Online Course
duration 8 weeks, 2-3 hours a week
sessions On-Demand
California Institute of Technology Udemy

Introduction to Natural Language Processing

Join our engaging online course, "Introduction to Natural Language Processing," on Udemy, tailored for those eager to dive into the world of NLP. This course covers the fundamental concepts of Natural Language Processing, beginning with Regular Expressions and moving onto essential Text Pre-processing techniques, all through the versatile language.
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provider Udemy
pricing Free Online Course
sessions On-Demand
California Institute of Technology Udemy

Python for Natural Language Processing (NLP)

Course Title: Python for Natural Language Processing (NLP) Embark on a comprehensive journey through the world of Natural Language Processing (NLP) with a special focus on Python. This course, offered by Udemy, is designed to equip participants with the knowledge and skills to build NLP models effectively. Delve deep into the realms of Python progr.
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provider Udemy
pricing Paid Course
duration 3 hours
sessions On-Demand
California Institute of Technology Coursera

Using the Natural Language API from Google Docs

Title: Using the Natural Language API from Google Docs Description: Dive into the world of Natural Language Processing (NLP) with this exciting self-paced lab, brought to you by Google Cloud. Participants will have the opportunity to leverage Apps Script to interface with the Natural Language API directly from Google Docs. The primary focus will be.
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provider Coursera
pricing Paid Course
sessions On-Demand
California Institute of Technology Pluralsight

TensorFlow Developer Certificate - Natural Language Processing (NLP)

Embark on a journey to master Natural Language Processing (NLP) techniques with the TensorFlow Developer Certificate course offered by Pluralsight. This comprehensive program is designed to arm you with the skills to analyze text, generate novel content, and classify intentions using the latest TensorFlow 2 technologies. Whether you're interested i.
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provider Pluralsight
pricing Free Trial Available
duration 2 hours 11 minutes
sessions On-Demand
California Institute of Technology Google Cloud Skills Boost

Intro to ML: Language Processing

Embark on an enlightening journey into the world of machine learning with our introductory course focused on language processing. As machine learning continues to revolutionize the tech industry, Google Cloud Platform (GCP) stands at the forefront of this transformation, offering an extensive array of APIs tailored for various machine learning appl.
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provider Google Cloud Skills Boost
pricing Paid Course
duration 3 hours 15 minutes
sessions On-Demand
California Institute of Technology Microsoft Learn

Develop natural language processing solutions with Azure AI Services

Title: Develop Natural Language Processing Solutions with Azure AI Services. Description: Dive into the world of natural language processing (NLP) with Azure AI Services. This comprehensive course, provided by Microsoft Learn, covers everything you need to know to harness the power of Azure AI for analyzing and processing text, creating question an.
provider Microsoft Learn
pricing Free Online Course
duration 7 hours 58 minutes
sessions On-Demand
California Institute of Technology Hong Kong Polytechnic University

Text Mining for Marketing

Welcome to the Text Mining for Marketing course offered by the prestigious Hong Kong Polytechnic University, available on Coursera. This beginner-level course is designed to introduce you to the dynamic field of text mining within the context of marketing. Discover the essential principles and methodologies of text mining and how they can be applie.
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provider Coursera
pricing Free Online Course (Audit)
duration 21 hours
sessions On-Demand
California Institute of Technology Coursera

Natural Language Processing in Microsoft Azure

Title: Natural Language Processing in Microsoft Azure Description: Dive into the world of Natural Language Processing (NLP) with Microsoft Azure! This comprehensive course offers an in-depth exploration of how to harness Azure's text analytics, translation, and language understanding services to build applications that can seamlessly interact in na.
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provider Coursera
pricing Free Online Course (Audit)
duration 7-8 hours
sessions On-Demand
California Institute of Technology University of Manchester

Limpieza de datos para el procesamiento de lenguaje natural

Curso de Limpieza de Datos para Procesamiento de Lenguaje Natural Aprende a extraer, limpiar y preparar datos de diversas fuentes para su uso en procesamiento de lenguaje natural (NLP). Este curso, ofrecido por la University of Manchester y disponible en Coursera, está diseñado para aquellos con conocimientos de programación de nivel básico a medio.
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provider Coursera
pricing Free Online Course (Audit)
duration 13 hours
sessions On-Demand

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!