Specialize in a field that extends to computer science, artificial intelligence and linguistics"  

NLP technology is not new, but it is true that its evolution in recent years has undergone exponential growth due to the large volumes of data, current computing power and advances in the field of algorithms. Today, NLP is used for various functions such as mail filters, wizards, search results e.g. in Google, machine translations, sentiment analysis, automatic subtitles, among others.

This Postgraduate certificate Develop specialized knowledge of NLP and NLU. The latter is a branch of Natural Language is a branch of Natural Language Processing whose purpose is to enable a technological system to understand the meaning and intent of a sentence. technological system to understand the meaning and intention behind a sentence. The graduate will also analyze the operation of Word Embeddings and the word2vec library. With Word Embeddings you will study the different techniques in which words or phrases are related to each other, which can be represented in mathematical vectors.

Google, at the end of 2017, published a study called Attention is All You Need where the Transformer Architecture was presented. This degree develops in depth this architecture, which has allowed in recent years to advance in the field of NLP. To this end, it analyzes the main models: BERT, Roberta, GPT2, GPT3.

Additionally, the student has the best study methodology 100% online, which eliminates the need to attend classes in person or have to comply with a predetermined schedule. To this end, in only 6 weeks will delve into the scope of application of Cloud Computing, understanding the competitive advantages they provide, so they will be positioned at the technological forefront and will be able to lead ambitious projects in the present and in the future. 

NLP opens the doors to a truly mature really mature and efficient data and efficient" 

This Postgraduate certificate in NLP/NLU. contains the most complete and up-to-date program on the market. The most important features include:

• The development of practical cases presented by experts in NLP/ NLU.
• The graphic, schematic, and practical contents with which they are created, provide practical information on the disciplines that are essential for professional practice
• Practical exercises where the self-assessment process can be carried out to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

Develops specialized knowledge about NLP and NLU, their main current uses and libraries that allow to work with them"

The program’s teaching staff includes professionals from the sector who contribute their work experience to this training program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide professionals with situated and contextual learning, i.e., a simulated environment that will provide immersive training, designed for training oneself in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise throughout the program. For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.

Study through the different techniques in which words or phrases are related to each other Cone Word Embedings"

Develop in depth La architecture the Transformer, which has allowed in recent years to advance in the field from NLP"

This Postgraduate certificate contains in a module specialized knowledge on the different options offered NLP technology and NLU. It also offers a complete and specialized view of the meaning of Word Embeddings and the word2vec library, as well as an advanced knowledge of the Transformer Architecture. All this from a practical and innovative business perspective, thereby ensuring that the contents have a highly practical focus.  

NLP tries to make human language understandable to a machine in five major areas: phonology, morphology, syntax, semantics and pragmatics"

Module 1. - R&D and AI NLP/NLU. Embeddings and Transformers

1.1. Natural Language Processing (NLP)

1.1.1. Natural Language Processing. Uses of NLP 
1.1.2. Nautral Language Processing (NLP). Libraries 
1.1.3. Stoppers in NLP Application

1.2. Natural Language Understanding/Natural Language Generation. (NLU/NLG)

1.2.1. NLG. I.A. NLP/NLU. Embeddings and Transformers 
1.2.2. NLU/NLG. Uses 
1.2.3. NLP/NLG. Differences

1.3. Word Embeddings

1.3.1. Word Embeddings 
1.3.2. Word Embeddings Uses 
1.3.3. Word2vec. Libraries

1.4. Embeddings. Practical Application

1.4.1. word2vec Code 
1.4.2. Word2vec. Real Cases 
1.4.3. Corpus for Word2vec Use. Examples:

1.5. Transformers

1.5.1. Transformers 
1.5.2. Models Created with Transformers 
1.5.3. Pros and Cons of Transformers

1.6. Sentiment Analysis

1.6.1. Sentiment Analysis 
1.6.2. Practical Application of Sentiment Analysis 
1.6.3. Uses of Sentiment Analysis

1.7. GPT Open AI

1.7.1. GPT Open AI 
1.7.2. GPT 2. Free Disposal Model 
1.7.3. GPT 3. Payment Model

1.8. Hugging Face Community

1.8.1. Hugging Face Community 
1.8.2. Hugging Face Community Possibilities 
1.8.3. Hugging Face Community Examples:

1.9. Barcelona Super Computing Case

1.9.1. BSC Case 
1.9.2. MARIA Model 
1.9.3. Existing Corpus 
1.9.4. Importance of Having a Large Spanish Language Corpus

1.10. Practical Applications

1.10.1. Automatic Summary 
1.10.2. Text Translation 
1.10.3. Sentiment Analysis 
1.10.4. Speech Recognition

As processing power and automation improves, the tools already developed are advanced and new ways of applying NLP emerge"