Natural Language Processing Course

Price
$1,895.00 USD

Duration
2 Days

Delivery Methods
Virtual Instructor Led
Private Group

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Natural Language Processing Course Overview

Natural Language Processing is the use of machine learning and data analysis to build models and reveal insights based on natural text data. This course is designed for experienced Python developers who want to learn how to apply state of the art Natural Language Processing frameworks and techniques, such as the open source frameworks SpaCy and NLTK, to any kinds of natural language text data. Students taking this course will discover the latest techniques in semantic analysis, topic modeling, text classification, and more!

Private classes on this topic are available. We can address your organization’s issues, time constraints, and save you money, too. Contact us to find out how.

This course includes 6-months access to the full course content in on-demand format to support post-class reference and review.

What Is Included

Expert-Led Instruction – Learn from certified instructors with real-world IT experience.
Guaranteed-to-Run Courses – We never cancel a scheduled course, ensuring your training stays on track.
Flexible Rescheduling – Option to reschedule your course if needed (see conditions).
Free Course Retake Option – Retake the course at no additional cost (see conditions).

Course Objectives

Learn to work with Text Files with Python
Learn how to work with PDF files in Python
Utilize Regular Expressions for pattern searching in text
Use Spacy for ultra fast tokenization
Learn about Stemming and Lemmatization
Understand Vocabulary Matching with Spacy
Use Part of Speech Tagging to automatically process raw text files
Understand Named Entity Recognition
Visualize POS and NER with Spacy
Use SciKit-Learn for Text Classification
Use Latent Dirichlet Allocation for Topic Modelling
Learn about Non-negative Matrix Factorization
Use the Word2Vec algorithm
Use NLTK for Sentiment Analysis
Use Deep Learning to build out your own chat bot

Who Should Attend?

Intermediate to experienced Python developers or experienced developers coming from another programming language.

Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

Q: What is Natural Language Processing (NLP)?
A: NLP is a field of artificial intelligence that focuses on the interaction between computers and human language, enabling machines to understand, interpret, and generate text-based data.

Q: Why should I take the Natural Language Processing course?
A: NLP is at the heart of many AI-driven applications, from virtual assistants and chatbots to automated translation and sentiment analysis. Mastering NLP will give you a competitive edge in a world increasingly driven by intelligent automation. This course equips you with the skills to build real-world NLP applications, providing hands-on experience and best practices from industry experts.

Q: Who should attend this course?
A: This course is ideal for intermediate to experienced Python developers or experienced developers from other programming languages interested in extracting insights from text data and building intelligent applications.

Q: What are the prerequisites for this course?
A: Participants should have completed "Introduction to Python" and "Python for Data Science." "Python for Machine Learning" is also recommended to ensure readiness for the course content.

Q: Is there a free retake option?
A: Yes, our “Guaranteed-to-Run” policy includes an option for a free course retake under certain conditions.

Q: Are private classes available?
Yes! Private classes on this topic are available. We can tailor the training to address your organization’s specific challenges, time constraints, and budget. Contact us to learn how we can help.

Learning Credits: Learning Credits can be purchased well in advance of your training date to avoid having to commit to specific courses or dates. Learning Credits allow you to secure your training budget for an entire year while eliminating the administrative headache of paying for individual classes. They can also be redeemed for a full year from the date of purchase. If you have previously purchased a Learning Credit agreement with New Horizons, you may use a portion of your agreement to pay for this class.

If you have questions about Learning Credits, please contact your Account Manager.

Course Prerequisites

Introduction to Python and Python for Data Science; Python for Machine Learning recommended

Natural Language Processing Agenda

Handling Text with Python

Working with PDFs

Regular Expressions

Natural Language Processing

Tokenization
Stemming
Lemmatization

Part of Speech Tagging

Named Entity Recognition
Sentence Segmentation

Text Classification

Semantics and Sentiment Analysis

Topic Modeling

SpaCy

NLTK

Deep Learning for Natural Language Processing

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We can enroll multiple students in an upcoming class or schedule a dedicated private training event designed to meet your organization’s needs.