Natural Language Processing Certification

Top 3 Natural Language Processing Certification Programs

In simple terms, Natural Language Processing (NLP) is the study of how computers can process natural human language. It is not an easy task but this guide explores the best natural language processing certification programs available today.

Our Top 3 Picks

Udacity Logo
Natural Language Processing Nanodegree
Best all-around NLP program
DataCamp
Natural Language Processing in Python
Best Python-based NLP skill track
University of Canterbury
Professional Certificate in Text Analytics
Best starter text analytics certification

1. Natural Language Processing Nanodegree (Udacity)

Udacity Logo

Gain the skills to train computers to process and understand human language using natural language processing algorithms. During the 3-month Natural Language Processing Nanodegree program, you will develop your NLP skills with experts from Amazon Alexa and IBM Watson.

Throughout the program, you will learn how to build probabilistic models, use sentiment analysis, and machine translation from real data. Finally, you will use deep learning models to understand human speech and perform machine translation in natural language processing.

Courses

  1. Introduction to Natural Language Processing – In this course, you will work through beginner-friendly concepts on how to process and understand human language. For instance, you will understand the structure of words, the ways in which English words are used, and the ways in which they can be interpreted. At the end of the course, you will build a speech tagging model to automatically tag and label speech content from sentences.
  2. Computing with Natural Language – In this course, you will gain the knowledge and skills necessary to build a machine translation model. You will also learn how to use word embeddings and how to use deep learning and recurrent neural network architectures to improve the translation quality.
  3. Communicating with Natural Language – In this deep neural networks course, you will create a speech recognition model that can translate voice to text and vice versa.  By using machine learning to train your automatic speech recognition (ASR) pipeline, you can efficiently understand and interpret natural language into transcribed text.

Skills Acquired

  • Automatic Speech Recognition (ASR)
  • Deep Learning
  • Probabilistic Models
  • Hidden Markov Models
  • Speech Recognition
  • Machine Translation
  • Table Lookups
  • N-grams
  • Speech Tagging
  • ML Pipelines

For more information, read our review of the Udacity Natural Language Processing Nanodegree.

  • PREREQUISITES: This program requires a solid foundation in Python, statistics, machine learning, and deep learning.

2. Natural Language Processing in Python Skill Track (DataCamp)

DataCamp

The Natural Language Processing in Python Skill Track from DataCamp is more for hands-on learners. You’ll work with NLP libraries like NLTK, scikit-learn, and spaCy to process and interpret language.

First, you’ll learn how to build a chatbot that can transform customer interactions into effective communication. Upon completion, you will know how to extract insights from audio files and explore transcription techniques using everyday sources.

Simplified Courses

  1. Natural Language Processing and Sentiment Analysis – Get up to speed with the basics of natural language processing and extract insights from text data. Additionally, this course covers sentiment analysis with scikit-learn to understand if the feeling is positive, negative, or neutral.
  2. Building Chatbots in Python – Get started with creating bots using Python in this popular course from DataCamp. You will learn about rule-based systems, machine learning, and the basics of natural language processing.
  3. Advanced NLP with spaCy – This course is all about spaCy, which is an open source Python library for handling large volumes of NLP text. You will learn how to leverage its rule-based approach to build an advanced NLP system.
  4. Spoken Language Processing in Python – You will learn how to process and transcribe human speech from audio files using the Python PyDub library and SpeechRecognition libraries.
  5. Feature Engineering for NLP in Python – In this course, you will use feature engineering to extract text information into a usable format for ML model

Skills Acquired

  • Natural Language Processing
  • NLTK
  • scikit-learn
  • Python
  • spaCy
  • SpeechRecognition
  • PyDub
  • Sentiment Analysis
  • Chatbox Building
  • Machine Learning
  • Feature Engineering
  • Transcription Analysis
  • N-gram modeling
  • Rasa NLU
  • INFORMATION: This program contains 6 courses in a duration of 25 hours.

3. Professional Certificate in Text Analytics with Python (University of Canterbury)

University of Canterbury

Get the skills you need to build text analytics applications using unstructured data. The Certificate in Text Analytics with Python will teach you how to use machine learning classifiers with computational linguistics.

In this natural language processing certification program, you will work through various case studies. Get a certificate in text analytics that will help you analyze text data with statistical significance.

Simplified Courses

  1. Text Analytics 1: Introduction to Natural Language Processing – This online course will teach you how to use machine learning classifiers to understand and interpret the meanings of text. Secondly, this course is designed to help you understand the ethical implications of text analytics.
  2. Text Analytics 2: Visualizing Natural Language Processing – Unlock the power of natural language processing and understand the ways in which it can be used to analyze text. Work through a series of case-study exercises that will help you better understand the core techniques used in natural language processing.

Skills Acquired

  • Natural Language Processing
  • Python
  • Text Analytics
  • Machine Learning Classifiers
  • Document Similarity
  • Topic Models
  • Statistical Significance Testing
  • Unstructured Data Applications
  • Ethical Foundations
  • INFORMATION: This program contains 2 skill-building courses to be completed in a duration of 3 months.

Best Natural Language Processing Certification Programs

It is not an easy task for computers to understand the intent of sentences written in any language. If a sentence seems complex, it makes it difficult for computers to process it using NLP tools.

Natural Language Processing helps computers understand the human language. As globalization rises, the demand for professionals in the field of NLP is increasing at a rapid pace.

If you plan on entering this thriving field and becoming one of the top specialists, this article explored some of the best natural language processing certification programs available today.

Have you tried any of these courses? We’d love some more feedback on them. Please leave a comment below.

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