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Natural Language Processing

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Overview

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Learning outcomes

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Course content

1

Introduction To Nlp

2

Text Preprocessing

3

Language Modeling

4

Sentiment Analysis

5

Machine Translation

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

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We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
Ready when you are
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

I'm blown away by the Natural Language Processing course at Stanmore School of Business! As a data scientist from the United States, I was looking to upgrade my skills in NLP, and this course exceeded my expectations. The instructor's explanations of deep learning models for text classification and language modeling were crystal clear, and I appreciated the emphasis on practical applications. I was able to apply the knowledge I gained to a project at work, where I developed a chatbot that improved our customer service response times by 30%. The course materials were top-notch, with relevant examples and case studies that made the concepts more accessible. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to break into NLP.

LH
Leila Hassan
EG · Course completed

I found the Natural Language Processing course at Stanmore School of Business to be really helpful in achieving my learning goals. As someone from Egypt with a background in computer science, I was interested in learning more about the applications of NLP in Arabic language processing. The course covered a wide range of topics, from tokenization to sentiment analysis, and the instructor provided plenty of examples and exercises to practice. One thing that stood out to me was the discussion on language modeling and how it can be used to generate text. I was able to use this knowledge to develop a simple language model for generating Arabic text, which was a great learning experience. The course materials were good, but sometimes I felt that they could be more comprehensive. Still, I'd recommend the course to anyone looking to get started with NLP.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Natural Language Processing course at Stanmore School of Business was an incredible experience! As a researcher from Japan, I was looking for a course that would give me a solid foundation in NLP, and this course delivered. The instructor was enthusiastic and knowledgeable, and the course materials were engaging and easy to follow. I loved the hands-on approach, with plenty of opportunities to practice and apply the concepts to real-world problems. One of the highlights of the course was the section on named entity recognition, which I found really fascinating. I was able to use this knowledge to develop a system for extracting entities from Japanese text, which has a lot of potential applications. Overall, I'm so glad I took this course and would highly recommend it to anyone interested in NLP!

RS
Rafaela Silva
BR · Course completed

I took the Natural Language Processing course at Stanmore School of Business and found it to be a great introduction to the field. As a linguist from Brazil, I was interested in learning more about the computational aspects of NLP, and the course covered a lot of ground. The instructor was clear and concise, and the course materials were well-organized and easy to understand. I appreciated the focus on practical applications, such as text classification and language translation. One thing that I found particularly useful was the discussion on word embeddings, which I hadn't encountered before. I was able to use this knowledge to develop a simple text classification system for Portuguese text, which was a great learning experience. Overall, I'd recommend the course to anyone looking to get started with NLP, but I do wish there had been more opportunities for feedback and discussion.





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Recently updated!

May 2026