Course Title:

Natural Language Processing (NLP)

Course ID:

2512150101307ESH

Course Start Date :

15/12/2025

 -

19/Dec/2025

Course Duration :

5

Course Location:

London

UK

Course Fees GBP £ :

£5,120.30

Course Fees USD $:

$6,906.44

Course Category:

Professional and CPD Training Programs

Leadership and Management Excellence

Leadership and Management Excellence

Course Certified By:

New paragraph

Course Information

Introduction

Natural Language Processing (NLP) is at the forefront of modern technology, bridging the gap between human communication and machines. This 5-day intensive workshop provides participants with a comprehensive understanding of NLP techniques, tools, and applications, equipping them to design and implement cutting-edge solutions in various domains. From sentiment analysis to language generation, this course covers the essentials needed to unlock the potential of NLP in professional and research environments.

Objectives

By the end of this course, participants will be able to:

Understand the foundational concepts of NLP and its significance in modern industries.
Utilize key NLP tools and libraries for data preprocessing and language modeling.
Apply techniques such as tokenization, stemming, and lemmatization to real-world problems.
Build and evaluate models for text classification, sentiment analysis, and language translation.
Implement advanced NLP techniques, including transformers and large language models.
Explore ethical considerations and future trends in NLP applications.

Who Should Attend?

This course is ideal for:

Data scientists and machine learning engineers seeking to enhance their NLP expertise.
Software developers and IT professionals interested in language-based solutions.
Academicians and researchers exploring NLP for academic projects.
Business professionals aiming to leverage NLP for decision-making and automation.
Anyone with a basic understanding of programming and an interest in language technology.

Training Method

Program Support

Course Agenda

Course Outlines

Week 1

This course has past please contact us for more information

Week 02

Week 3

Week 04

Week 05

Week 06