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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 blown away by the Natural Language Processing course at Stanmore School of Business! As a professional in the field, I was looking to enhance my skills in text analysis and machine learning. The course content was incredibly comprehensive, covering everything from the basics of NLP to advanced topics like deep learning for language modeling. I particularly appreciated the practical examples and case studies, which helped me understand how to apply the concepts to real-world problems. The course materials were top-notch, with engaging video lectures, informative readings, and challenging assignments that pushed me to think critically. Overall, I'm extremely satisfied with the course and feel confident in my ability to tackle complex NLP tasks. The instructors were also very responsive and provided valuable feedback throughout the course.

LH
Leila Hassan
EG · Course completed

I took the Natural Language Processing course at Stanmore School of Business and it was a great experience! I'm from Egypt, and I was a bit worried that the course might not be relevant to my local context, but I was pleasantly surprised to find that the examples and case studies were diverse and applicable to different regions. The course covered a wide range of topics, from sentiment analysis to language translation, and I appreciated the focus on practical skills. I gained a lot of hands-on experience with popular NLP libraries like NLTK and spaCy, and I'm now able to apply these skills to my work in social media analysis. The course materials were well-organized and easy to follow, although I did find some of the assignments to be a bit challenging. Overall, I'm happy with the course and would recommend it to anyone interested in NLP.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Natural Language Processing course at Stanmore School of Business was amazing! I'm a huge fan of machine learning and AI, and this course did not disappoint. The instructors were super knowledgeable and enthusiastic, and the course content was incredibly engaging. I loved the interactive quizzes and discussions, which made the course feel really immersive and fun. The practical projects were also fantastic, and I appreciated the opportunity to work on real-world problems like chatbot development and text classification. The course materials were top-quality, with plenty of code examples and datasets to work with. I'm now able to build my own NLP models and deploy them in production, which is a huge confidence booster. Overall, I'm so glad I took this course and I would highly recommend it to anyone interested in NLP or AI.

RS
Rafaela Silva
BR · Course completed

I recently completed the Natural Language Processing course at Stanmore School of Business, and I'm really happy with the experience. As a beginner in the field, I was a bit intimidated by the course content, but the instructors were super supportive and helpful. The course covered a lot of ground, from the basics of NLP to more advanced topics like named entity recognition and dependency parsing. I appreciated the focus on practical skills, and I gained a lot of experience working with popular NLP tools like Stanford CoreNLP and Gensim. The course materials were well-organized and easy to follow, although I did find some of the readings to be a bit dense. Overall, I'm satisfied with the course and feel like I have a solid foundation in NLP. I would recommend this course to anyone looking to learn about NLP, especially those with a background in computer science or linguistics.


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Recently updated!

May 2026