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.
course image
provider Coursera
pricing Free Online Course (Audit)
duration 10 hours
sessions On-Demand

Mastering Natural Language Processing (NLP) with Deep Learning

Mastering Natural Language Processing (NLP) with Deep Learning Understanding the complex world of natural language processing can be a challenging but essential task in this rapidly growing industry. In this course, Mastering Natural Language Processing (NLP) with Deep Learning, you’ll gain the ability to analyze text data using advanced deep l.
course image

Exploitez des données textuelles

Bienvenue dans ce cours de traitement du langage naturel ! L’objectif de ce cours est de comprendre les méthodes qui permettent de transformer le texte en features exploitables par des algorithmes de machine learning classiques, et les architectures et modèles qui correspondent le mieux à ce type de données. En l’occurence un ensemble de documen.
provider OpenClassrooms
pricing Free Online Course
duration 12 hours
sessions On-Demand

NLP Modelos y Algoritmos

Curso de NLP: Modelos y Algoritmos Impartido por la University of Manchester y disponible en Coursera, este curso está diseñado para proporcionarte una comprensión profunda de los algoritmos de Procesamiento de Lenguaje Natural (NLP). A lo largo del curso, explorarás y aplicarás los últimos y más populares algoritos en NLP para resolver problemas e.
course image
provider Coursera
pricing Free Online Course (Audit)
duration 11 hours
sessions On-Demand

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.
course image
provider Coursera
pricing Free Online Course (Audit)
duration 13 hours
sessions On-Demand

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.
course image
provider Coursera
pricing Free Online Course (Audit)
duration 7-8 hours
sessions On-Demand

Exam Prep AI-102: Microsoft Azure AI Engineer Associate

Enroll in the Exam Prep AI-102: Microsoft Azure AI Engineer Associate Course offered by Coursera and elevate your skills in Azure AI Solutions! Focused on the AI-102: Designing and Implementing a Microsoft Azure AI Solution certification exam, this comprehensive training is designed to deepen your understanding and abilities in leveraging the power.
course image
provider Coursera
pricing Free Online Course (Audit)
duration 16 hours
sessions On-Demand

Machine Learning | Natural Language Processing | Streamlit

Title: Machine Learning & Natural Language Processing with Streamlit Description: Dive deep into the realms of Machine Learning (ML) and Natural Language Processing (NLP) by learning to build and host your own NLP web application using Streamlit—offered by Udemy. Provider: Udemy Categories: Machine Learning Courses, Data Science Courses, Natural La.
course image
provider Udemy
pricing Paid Course
duration 5 hours 11 minutes
sessions On-Demand

Data Science for Business | 6 Real-world Case Studies

Join our course, Data Science for Business | 6 Real-world Case Studies, and master the skills to tackle real business challenges. This comprehensive program on Udemy equips you with the expertise to build robust models in AI, Deep Learning (DL), and Natural Language Processing (NLP) applicable to Sales, Marketing, Operations, HR, and PR projects. E.
course image
provider Udemy
pricing Paid Course
duration 11 hours 41 minutes
sessions On-Demand

Natural Language Processing and Capstone Assignment

Natural Language Processing and Capstone Assignment | Vanderbilt University | Coursera Welcome to Natural Language Processing and Capstone Assignment. This course dives into how technical and business techniques can be harnessed to deliver business insights, competitive intelligence, and consumer sentiment. Hosted by Vanderbilt University on Cou.
course image
provider Coursera
pricing Free Online Course (Audit)
duration 4-5 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!