An NLP Training opens doors to work in the field of AI and Data Science. Discover everything you need to know about Natural Language Processing and how to train to become a professional. Over the past few years, artificial intelligence has seen significant growth. Some branches of AI, such as NLP or Natural Language Processing, have experienced a true boom.
What is NLP ?
Natural Language Processing (NLP) is a branch of artificial intelligence that involves training computers to understand, process, and generate human language.
NLP is based on a combination of Machine Learning and computational linguistics. Systems are trained using text data to learn how to recognize words and how they come together.
Sentences, text excerpts, or even entire books are used to feed ML systems. This training data is processed, and the system learns to predict the next part of text by identifying patterns.
Web search engines, automatic translation services, and voice assistants rely on this technology. Whenever you perform a search on Google or Bing, the results are interpreted using NLP to ensure relevance and improve future search results.
Another application is chatbots. These artificial intelligences can analyze human language to answer questions. The same goes for voice assistants like Siri or Alexa.
There is a wide variety of NLP tools, such as the NLTK framework, open-source libraries like SpaCy and Gensim, or cloud services like Amazon Comprehend, IBM Watson Tone Analyzer, and Google Cloud Translation.
Many renowned companies, such as Accenture or Verizon, use NLP. That’s why learning to harness this technology can open up many opportunities for you.
Why take an NLP training?
NLP is highly utilized in the business world. As a result, experts in this technology are in high demand and can enjoy lucrative salaries.
Natural Language Processing is notably used by Data Scientists, Machine Learning engineers, and software engineers. The number of job opportunities for these roles is experiencing significant growth.
Pursuing an NLP training can, therefore, open up numerous professional opportunities for you. If you aspire to work in AI or Data Science, mastering this field is imperative.
The rise of IoT, Cloud, and various NLP applications for customer service are driving market growth. New applications will emerge over the years, and this discipline will continue to reveal its potential
In 2023, NLP is one of the seven most sought-after skills in the technology sector. By 2025, the market value is expected to exceed 34 billion dollars, representing a growth rate of 21.5%.
In the United States, an NLP specialist earns between 75,000 and 110,000 dollars per year. This expertise can indeed lead to a highly attractive salary.
How do I follow an NLP training course?
An NLP engineer or scientist plays a pivotal role in designing and developing systems and applications capable of understanding human language.
Their primary tasks include engineering devices that can comprehend human language, creating computers capable of analyzing and generating human language, and developing applications that can understand spoken language.
They themselves must be experts in syntax and grammar in at least one language. Furthermore, these professionals possess skills in Data Science and Machine Learning.
To excel in this role, you must master various tools such as fastText, PyTorch, spaCy, AdaptNLP, PySpark, SparkNLP, BERT, Hugging Face, CoreNLP, GPT-3, Seq2seq, TensorFlow, Alexa, NLTK, Scikit-Learn, and programming languages like Python, R, Java, and Julia.
For youe NLP training, DataScientestis the place to be.
Our Data Science programs cover Machine Learning and various AI branches, including NLP. You will learn to use Natural Language Processing tools and techniques.
Our different programs are available through Continuing Education or Intensive Bootcamps. Learning is 85% online through a coached platform and 15% through Masterclasses.
DataScientest’s programs lead to a diploma certified by MINES ParisTech / PSL Executive Education. Over 80% of alumni have found immediate employment.
