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What is Natural Language Processing (NLP)?

  • Tuition USD $112
  • Reviews star_rate star_rate star_rate star_rate star_half 4425 Ratings
  • Course Code W7108G-WBT
  • Duration 4.5 hours
  • Available Formats Self Paced

This IBM Web-Based Training (WBT) is Self-Paced and includes:
- Instructional content available online for duration of course
- Visuals without hands-on lab exercises

This course introduces key concepts and methods in Natural Language Processing (NLP), the subfield of data science and artificial intelligence that deals with computer interaction with human language. The course covers 1) The definition of NLP, and its relationship to data science, artificial intelligence, and other subfields therein, 2) Historical thought and development in NLP as well as recent breakthroughs in NLP enabled by artificial intelligence, and 3) Select methods and use cases for NLP, focused mainly on business contexts. The course will also briefly introduce learners to award-winning IBM Watson NLP tools, which make the discussed technologies accessible to non-technical users. 

Upon completion of the course, learners will feel comfortable describing what NLP is, how it has evolved from historical precedents to contemporary developments, and several specific methods and use cases for NLP technologies in organizational settings. Learners will leave this course well-prepared for more applied and technical courses on NLP.

 

IBM Customers and Sellers: If you are interested in this course, consider purchasing it as part of one of these Individual or Enterprise Subscriptions:

  • IBM Learning for Data and AI Individual Subscription (SUBR022G)
  • IBM Learning for Data and AI Enterprise Subscription (SUBR004G)
  • IBM Learning Individual Subscription with Red Hat Learning Services (SUBR023G)

Skills Gained

- Defining NLP 
- NLP History 
- NLP Applications 
- Working With Text 
- From Models to Systems

Who Can Benefit

The course is intended primarily for learners with a focus on business and/or technology, and specifically those seeking to better understand what NLP is, where it came from, and how it can benefit their organizations. Although the course does not cover the technical aspects of building NLP systems, Data Scientists, Machine Learning Engineers, and other technically-inclined learners may still find concepts and best practices introduced in the subject matter to be useful.

Prerequisites

No prerequisite knowledge is assumed, however a basic understanding of artificial intelligence and machine learning (i.e. what they are, what they do) will be beneficial.

Course Details

Course Outline

Defining NLP 
- Defining natural languages, and contrasting them from constructed and formal languages 
- Examining the ways that computers handle natural language as numbers (data) 
- Recognizing simple applications for computer processing of natural language data 

NLP History 
- Identifying early thinkers who speculated about computation, computers, and human language 
- Analyzing successes and failures in early NLP experiments in machine translation and chatbots 
- Examining key enabling technologies that supported the advancement of NLP over the past few decades 

NLP Applications 
- Relating early NLP experiments to modern applications for individuals and organizations 
- Describing specific sources of value brought by NLP applications to businesses, such as in customer engagement and sentiment analysis 
- Considering the future of common NLP applications 

Working With Text 
- Identifying computer processes (algorithms) useful for handling and transforming text 
- Recognizing common challenges in working with textual data, such as issues related to data quality 
- Analyzing components of NLP frameworks, and linking them to common NLP methods such as named-entity recognition (NER) 

From Models to Systems 
- Differentiating text-level NLP methods from NLP systems 
- Relating system-level NLP to NLP applications 
- Recognizing the intuitions behind two complex NLP systems: Information Extraction and Conversational AI

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.

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