From customer-service chatbots to AI-enabled virtual assistants, the demand for technology that employs natural language processing (NLP) is growing at a phenomenal rate. According to Payscale, technology professionals with the training and skills to implement NLP applications now earn an average annual salary of $109,000.
Natural Language Processing, a 10-week online program available through the Executive Education program from Carnegie Mellon University School of Computer Science, provides both a fundamental understanding of NLP and an overview of its applications.
Source: Forbes
This 10-week online program will give you a foundational understanding of NLP. After completing the program, you will be able to:
Learn key machine learning concepts and deep learning methods to build cutting-edge NLP systems in any specific domain
Develop graphical models for lemmatization - a key step in many NLP tasks
Synthesize n-gram language models and make qualitative/quantitative comparison of simple to complex n-gram models
Utilize neural networks to label parts of speech (POS) and named entities (NER) in English and other languages
Train dependency parsers from treebanks and use them to perform NLP tasks
Automatically detect phrase structure grammar from tree banks by generating parse trees
This program consists of 10 modules that comprise a comprehensive overview of NLP and its practical applications. A short capstone project at the end of the program will enable you to demonstrate your proficiency.
Capstone Project: You will use combinations of tools and techniques learned during the program to build a realistic and complete NLP solution. Choose any functional application you are interested in:
Speech recognition
Question answering
Machine translation
Document summarization
Programming Assignments
Discussions
Guest Speakers
Knowledge Checks
Capstone Project
The program is particularly suitable for the following professionals:
Software developers and other technology professionals seeking a foundational understanding of NLP while adding a credential of repute to their CV
Data science, data analytics, and machine learning professionals who want a better understanding of NLP
Systems Scientist, Language Technologies Institute, School of Computer Science, Carnegie Mellon University
David Mortensen is a systems scientist and assistant professor in the Language Technologies Institute, which is part of CMU's School of Computer Science. A computational lingu...
Professor, Language Technologies Institute, School of Computer Science, Carnegie Mellon University
Alan Black is a professor in the Language Technology Institute at CMU. A world leader in the area of speech synthesis, Alan is the principal author of the Festival Speech Synt...
At Carnegie Mellon University School of Computer Science Executive Education, we provide organizations and people access to the skills and tools necessary to solve real-world technical problems by equipping the next generation of technology leaders with the experience, insights, and novel solutions developed by our community of computer science experts. From custom training programs to online individualized learning, our cutting-edge programming—backed by faculty who pioneered the field—takes your skillset to the next level, giving you the tools to tackle your company’s next great technological challenge.
Upon successful completion of the program, participants will receive a verified digital certificate of completion from Carnegie Mellon University School of Computer Science Executive Education. This is a training program and it is not eligible for academic credit.
Your digital certificate will be issued in your legal name and emailed to you at no additional cost, upon completion of the program, per the stipulated requirements. All certificate images are for illustrative purposes only and may be subject to change at the discretion of Carnegie Mellon University's School of Computer Science Executive Education.
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Please note that our team is away from December 23, 2024 to January 2, 2025 for the year-end holidays. We look forward to addressing your queries when we resume operations in the new year.
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