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Natural Language Processing

Natural Language Processing course teaches English language AI models for text analysis and human-computer interaction applications effectively online
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Flexible schedule
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2 months to complete
at 2-3 hours a week

Overview

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Learning outcomes

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Course content

1

Natural Language Understanding

2

Machine Translation

3

Sentiment Analysis

4

Speech Recognition

5

Text Summarization

6

Sentiment Analysis

7

Named Entity Recognition

8

Text Classification

9

Machine Translation

10

Question Answering

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

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

60 sec
From enrol to start
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Course access
Self-paced
Learn on your time
Certificate
Included in fee

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
Most learners finish reading the FAQs and enrol in the same minute.
Self-paced · Certificate included · 24/7 access · 60-second start.
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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 International Business
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
Open enrolment · Start today

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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 1,120 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United Kingdom
EP
Emily Patel
GB · Course completed

I'm absolutely thrilled with the Natural Language Processing course at Stanmore School of Business! The comprehensive curriculum and excellent instruction helped me achieve my learning goals, particularly in understanding the nuances of text preprocessing and sentiment analysis. The course materials were of the highest quality, with relevant examples and case studies that made the concepts more accessible. I was able to apply my newfound knowledge to a project at work, where I successfully implemented a chatbot using NLTK and spaCy. The overall learning experience was engaging, and I appreciated the support from the instructors and peers. I'd highly recommend this course to anyone interested in NLP!

LC
Liam Chen
US · Course completed

I took the Natural Language Processing course at Stanmore School of Business, and it was a great experience. The course content was pretty cool, and I liked how we got to learn about named entity recognition, topic modeling, and machine translation. The instructors were knowledgeable, and the course materials were decent. I appreciated the flexibility of the online platform, which allowed me to balance my coursework with my job. One thing that would've made the course better was more hands-on projects, but overall, I'm satisfied with what I learned. I was able to build a simple language model using TensorFlow, which was a fun project. I'd recommend this course to anyone looking to get started with NLP.

RG
Rahul Gupta
IN · Course completed

Wow, just wow! The Natural Language Processing course at Stanmore School of Business exceeded my expectations in every way! The course content was incredibly comprehensive, covering everything from the basics of NLP to advanced topics like deep learning for language modeling. The instructors were enthusiastic and supportive, and the course materials were top-notch. I was blown away by the quality of the video lectures, which made complex concepts seem easy to understand. I gained so much practical knowledge and skills from this course, including how to work with popular NLP libraries like NLTK, spaCy, and Gensim. I'm now confident in my ability to tackle NLP projects and contribute to the field. Thank you, Stanmore School of Business, for an amazing learning experience!

SR
Sophia Rodriguez
ES · Course completed

I recently completed the Natural Language Processing course at Stanmore School of Business, and I must say that it was a thoroughly enjoyable and informative experience. The course was well-structured, with a clear and logical progression from one topic to the next. The instructors provided detailed explanations and examples, which helped to clarify complex concepts. I appreciated the emphasis on practical applications of NLP, such as text classification, sentiment analysis, and language translation. The course materials were comprehensive and included a wide range of resources, including research papers, articles, and online tutorials. One area for improvement could be the addition of more interactive elements, such as discussion forums or live sessions, to facilitate collaboration and feedback among students. Nevertheless, I'm satisfied with the knowledge and skills I acquired, and I'm confident that they will serve me well in my future endeavors.





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Taught in English

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Recently updated!

March 2026