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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

Tokenization

2

Part‑Of‑Speech Tagging

3

Named Entity Recognition

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

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

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.

During your course, you will have access to:

  • 24/7 access to course materials and resources
  • Technical support for platform-related issues
  • Email support for course-related questions
  • Clear course structure and learning materials

Please note that this is a self-paced course, and while we provide the learning materials and basic support, there is no regular feedback on assignments or projects.

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 Stanmore School of Business
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee

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

  • The course starts as soon as you pay 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.

Our course is designed as a comprehensive self-study program that offers:

  • Structured learning materials accessible 24/7
  • Comprehensive course content for self-paced study
  • Flexible learning schedule to fit your lifestyle
  • Access to all necessary resources and materials

This self-directed learning approach allows you to progress at your own pace, making it ideal for busy professionals who need flexibility in their learning schedule. While there are no live classes or practical sessions, the course materials are designed to provide a thorough understanding of the subject matter through self-study.

This course provides knowledge and understanding in the subject area, which can be valuable for:

  • Enhancing your understanding of the field
  • Adding to your professional development portfolio
  • Demonstrating your commitment to learning
  • Building foundational knowledge in the subject
  • Supporting your existing career path

Please note that while this course provides valuable knowledge, it does not guarantee specific career outcomes or job placements. The value of the course will depend on how you apply the knowledge gained in your professional context.

This program is designed to provide valuable insight and information that can be directly applied to your job role. However, it is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. Additionally, it should be noted that this course is not accredited by a accredited awarding body or regulated by an authorised institution/body.

What you will gain from this course:

  • Knowledge and understanding of the subject matter
  • A certificate of completion to showcase your commitment to learning
  • Self-paced learning experience
  • Access to comprehensive course materials
  • Understanding of key concepts and principles in the field

While this course provides valuable learning opportunities, it should be viewed as complementary to, rather than a replacement for, formal academic qualifications.

Our course offers a focused learning experience with:

  • Comprehensive course materials covering essential topics
  • Flexible learning schedule to fit your needs
  • Self-paced learning environment
  • Access to course content for the duration of your enrollment
  • Certificate of completion upon finishing the course

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 thrilled to have taken the Natural Language Processing course at Stanmore School of Business! As a data scientist in the US, I was looking to upskill in NLP, and this course exceeded my expectations. The instructor's explanations of deep learning models for text classification and language generation were superb. I gained practical knowledge in using popular libraries like NLTK and spaCy, which I've already applied to improve our company's chatbot. 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 interested in NLP.

LH
Leila Hassan
EG · Course completed

I found the Natural Language Processing course to be a great introduction to the field. Coming from an Arabic-speaking background, I was interested in learning more about language processing techniques that can be applied to my native language. The course covered a wide range of topics, from tokenization to sentiment analysis, and the instructor provided plenty of examples and exercises to help us practice. One thing that I found particularly useful was the discussion on preprocessing techniques for noisy text data, which is a common challenge in many NLP applications. While some of the course materials could be improved, overall I'm happy with what I learned and would recommend the course to others 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 software engineer in Japan, I was looking to expand my skill set and explore the exciting field of NLP. The course was fast-paced and challenging, but the instructor was always available to help and provided excellent feedback on our assignments. I loved learning about the latest advancements in NLP, including transformer models and attention mechanisms. The course materials were very comprehensive, with plenty of code examples and links to additional resources. I was able to apply what I learned to a project at work, building a Japanese-language chatbot that uses machine learning to respond to customer inquiries. I'm so grateful to have taken this course and can't wait to see where my new skills take me!

CS
Catarina Silva
BR · Course completed

I took the Natural Language Processing course at Stanmore School of Business and had a really positive experience. As a linguist in Brazil, I was interested in learning more about the computational aspects of language processing, and the course provided a great introduction to the field. The instructor was very knowledgeable and explained complex concepts in a clear and concise way. I appreciated the focus on practical applications of NLP, such as text classification and language modeling, and the opportunities to work on projects and collaborate with other students. One area for improvement could be more discussion of NLP applications in languages other than English, but overall I'm happy with what I learned and would recommend the course to others interested in NLP.


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Recently updated!

May 2026