NLP Training Courses
Local, instructor-led live Natural Language Process (NLP) training courses demonstrate through interactive discussion and hands-on practice how to extract insights and meaning from this data. Utilizing different programming languages such as Python and R and Natural Language Processing (NLP) libraries, our trainings combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to help participants understand the meaning behind text data. NLP trainings walk participants step-by-step through the process of evaluating and applying the right algorithms to analyze data and report on its significance. NLP training is available as "onsite live training" or "remote live training". Onsite live training can be carried out locally on customer premises in Canada or in NobleProg corporate training centers in Canada. Remote live training is carried out by way of an interactive, remote desktop. NobleProg -- Your Local Training Provider
Client Testimonials
I did like the exercises
Office for National Statistics
Course: Natural Language Processing with Python
This is one of the best hands-on with exercises programming courses I have ever taken.
Laura Kahn
Course: Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP
This is one of the best quality online trainings I have ever taken in my 13 year career. Keep up the great work!
Course: Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP
The trainer very easily explained difficult and advanced topics.
Leszek K
Course: Artificial Intelligence Overview
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Course Outlines
| Code | Name | Duration | Overview |
|---|---|---|---|
| aiint | Artificial Intelligence Overview | 7 hours | This course has been created for managers, solutions architects, innovation officers, CTOs, software architects and anyone who is interested in an overview of applied artificial intelligence and the nearest forecast for its development. |
| nlp | Natural Language Processing | 21 hours | This course has been designed for people interested in extracting meaning from written English text, though the knowledge can be applied to other human languages as well. The course will cover how to make use of text written by humans, such as blog posts, tweets, etc... For example, an analyst can set up an algorithm which will reach a conclusion automatically based on extensive data source. |
| python_nltk | Natural Language Processing with Python | 28 hours | This course introduces linguists or programmers to NLP in Python. During this course we will mostly use nltk.org (Natural Language Tool Kit), but also we will use other libraries relevant and useful for NLP. At the moment we can conduct this course in Python 2.x or Python 3.x. Examples are in English or Mandarin (普通话). Other languages can be also made available if agreed before booking. |
| tsflw2v | Natural Language Processing with TensorFlow | 35 hours | TensorFlow™ is an open source software library for numerical computation using data flow graphs. SyntaxNet is a neural-network Natural Language Processing framework for TensorFlow. Word2Vec is used for learning vector representations of words, called "word embeddings". Word2vec is a particularly computationally-efficient predictive model for learning word embeddings from raw text. It comes in two flavors, the Continuous Bag-of-Words model (CBOW) and the Skip-Gram model (Chapter 3.1 and 3.2 in Mikolov et al.). Used in tandem, SyntaxNet and Word2Vec allows users to generate Learned Embedding models from Natural Language input. Audience This course is targeted at Developers and engineers who intend to work with SyntaxNet and Word2Vec models in their TensorFlow graphs. After completing this course, delegates will:
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| aitech | Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP | 21 hours | This course is aimed at developers and data scientists who wish to understand and implement AI within their applications. Special focus is given to Data Analysis, Distributed AI and NLP. |
| NPL_LBG | Natural Language Processing - AI/Robotics | 21 hours | This classroom based training session will explore NLP techniques in conjunction with the application of AI and Robotics in business. Delegates will undertake computer based examples and case study solving exercises using Python |
| w2vdl4j | NLP with Deeplearning4j | 14 hours | Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Spark, DL4J is designed to be used in business environments on distributed GPUs and CPUs. Word2Vec is a method of computing vector representations of words introduced by a team of researchers at Google led by Tomas Mikolov. Audience This course is directed at researchers, engineers and developers seeking to utilize Deeplearning4J to construct Word2Vec models. |
| nlpwithr | NLP: Natural Language Processing with R | 21 hours | It is estimated that unstructured data accounts for more than 90 percent of all data, much of it in the form of text. Blog posts, tweets, social media, and other digital publications continuously add to this growing body of data. This course centers around extracting insights and meaning from this data. Utilizing the R Language and Natural Language Processing (NLP) libraries, we combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically understand the meaning behind text data. Data samples are available in various languages per customer requirements. By the end of this training participants will be able to prepare data sets (large and small) from disparate sources, then apply the right algorithms to analyze and report on its significance. Audience Format of the course |
| pythontextml | Python: Machine Learning with Text | 21 hours | In this instructor-led, live training, participants will learn how to use the right machine learning and NLP (Natural Language Processing) techniques to extract value from text-based data. By the end of this training, participants will be able to:
Audience
Format of the course
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| nlg | Python for Natural Language Generation | 21 hours | Natural language generation (NLG) refers to the production of natural language text or speech by a computer. In this instructor-led, live training, participants will learn how to use Python to produce high-quality natural language text by building their own NLG system from scratch. Case studies will also be examined and the relevant concepts will be applied to live lab projects for generating content. By the end of this training, participants will be able to:
Audience
Format of the course
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| python_nlp | Natural Language Processing with Deep Dive in Python and NLTK | 35 hours | By the end of the training the delegates are expected to be sufficiently equipped with the essential python concepts and should be able to sufficiently use NLTK to implement most of the NLP and ML based operations. The training is aimed at giving not just an executional knowledge but also the logical and operational knowledge of the technology therein.
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| opennlp | OpenNLP for Text Based Machine Learning | 14 hours | The Apache OpenNLP library is a machine learning based toolkit for processing natural language text. It supports the most common NLP tasks, such as language detection, tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing and coreference resolution. In this instructor-led, live training, participants will learn how to create models for processing text based data using OpenNLP. Sample training data as well customized data sets will be used as the basis for the lab exercises. By the end of this training, participants will be able to:
Audience
Format of the course
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| textsum | Text Summarization with Python | 14 hours | In Python Machine Learning, the Text Summarization feature is able to read the input text and produce a text summary. This capability is available from the command-line or as a Python API/Library. One exciting application is the rapid creation of executive summaries; this is particularly useful for organizations that need to review large bodies of text data before generating reports and presentations. In this instructor-led, live training, participants will learn to use Python to create a simple application that auto-generates a summary of input text. By the end of this training, participants will be able to:
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| dlfornlp | Deep Learning for NLP (Natural Language Processing) | 28 hours | Deep Learning for NLP allows a machine to learn simple to complex language processing. Among the tasks currently possible are language translation and caption generation for photos. DL (Deep Learning) is a subset of ML (Machine Learning). Python is a popular programming language that contains libraries for Deep Learning for NLP. In this instructor-led, live training, participants will learn to use Python libraries for NLP (Natural Language Processing) as they create an application that processes a set of pictures and generates captions. By the end of this training, participants will be able to:
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| chatbotpython | Building Chatbots in Python | 21 hours | ChatBots are computer programs that automatically simulate human responses via chat interfaces. ChatBots help organizations maximize their operations efficiency by providing easier and faster options for their user interactions. In this instructor-led, live training, participants will learn how to build chatbots in Python. By the end of this training, participants will be able to:
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Upcoming Courses
| Course | Course Date | Course Price [Remote / Classroom] |
|---|---|---|
| Natural Language Processing with TensorFlow - Calgary - Sun Life | Mon, Aug 6 2018, 9:30 am | CA$11950 / CA$14350 |
| Natural Language Processing - AI/Robotics - Vancouver - Park Place | Tue, Aug 7 2018, 9:30 am | CA$6350 / CA$8345 |
| Building Chatbots in Python - Toronto - West Toronto - Etobicoke | Wed, Aug 8 2018, 9:30 am | CA$6350 / CA$8240 |
| Python: Machine Learning with Text - Quebec - Sainte Foy | Wed, Aug 8 2018, 9:30 am | CA$6350 / CA$8450 |
| Text Summarization with Python - Brampton - Brampton County Court | Tue, Aug 14 2018, 9:30 am | CA$4300 / CA$6060 |
Other regions
Other countries
Consulting
Course Discounts
| Course | Venue | Course Date | Course Price [Remote / Classroom] |
|---|---|---|---|
| Enabling SOA with BPM and BPMN | Quebec - Sainte Foy | Tue, Aug 21 2018, 9:30 am | CA$3870 / CA$5770 |
| Nato Architecture Framework (NAF) | London - London City Centre | Mon, Sep 10 2018, 9:30 am | CA$9405 / CA$11705 |
| Lua Fundamentals | Halifax - Purdy's Wharf | Thu, Sep 27 2018, 9:30 am | CA$3870 / CA$5760 |
| Drupal 8 for Developers | Vancouver - Park Place | Mon, Oct 15 2018, 9:30 am | N/A / CA$6130 |
| Haskell Fundamentals | Ottawa – Albert & Metcalfe | Tue, Nov 27 2018, 9:30 am | CA$3870 / CA$5690 |
Some of our clients
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