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Course Description

Language Models predict words by looking at word probabilities. Therefore, in order to understand how Large Language Models work, it is critical to understand how Natural Language Processing functions. This course will provide an overview of the process of conducting natural language processing, including tokenization, stop words removal, word stemming, and the application of open-sourced BeautifulSoup library for parsing structured data. With the skills you gain in this course, you will be able to reason how Large Language Models could handle tasks such as summarization, translation, and classification under the hood. Using of Natural Language Processing will also expand your knowledge on prominent technologies including ChatGPT, Google Search and Amazon Alexa. You will also gain experience in applying Natural Language Processing to convert human language into a form that machine learning algorithms can understand. It is required that you have experience with Python programming before enrolling in this course.

Course Information

CCTB 252

Prerequisites

CCTB 251

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in

Section Title
Fundamentals of Natural Language Processing
Type
Discussion
Days
Friday
Time
6:00PM to 9:50PM
Dates
Jan 08, 2027
Type
Discussion
Days
Saturday
Time
8:00AM to 4:00PM
Dates
Jan 09, 2027
Type
Discussion
Days
Sunday
Time
8:00AM to 11:30AM
Dates
Jan 10, 2027
Schedule and Location
Contact Hours
14.0
Location
Delivery Options
Online w/instructor, set times  
Course Fee(s)
Tuition credit (0.5 to 1.5 units) $450.00
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