Certificate Programme in Named Entity Recognition Fundamentals

Tuesday, 10 February 2026 15:11:30

International applicants and their qualifications are accepted

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Overview

Overview

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Named Entity Recognition (NER) is a crucial skill in natural language processing. This Certificate Programme in Named Entity Recognition Fundamentals provides a strong foundation.


Learn key techniques in identifying and classifying entities like people, organizations, and locations. We cover rule-based methods and machine learning approaches to NER.


Ideal for data scientists, linguists, and anyone working with text data. Master Named Entity Recognition and advance your NLP career.


This practical programme uses real-world examples. Gain hands-on experience with popular NER tools.


Enhance your resume. Unlock new opportunities. Explore the programme today!

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Named Entity Recognition (NER) is a crucial skill in today's data-driven world. This Certificate Programme in Named Entity Recognition Fundamentals provides hands-on training in identifying and classifying entities like names, locations, and organizations within text. Master Natural Language Processing (NLP) techniques and build practical NER systems using state-of-the-art tools. Boost your career prospects in fields like data science, machine learning, and information extraction. This program offers a unique blend of theory and practical application, making you job-ready with a sought-after NER specialization. Learn Named Entity Recognition now and unlock exciting career opportunities.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Introduction to Named Entity Recognition (NER) and its Applications
• Fundamentals of Natural Language Processing (NLP) for NER
• Rule-based and Statistical NER Approaches
• Machine Learning for NER: Supervised, Unsupervised, and Semi-Supervised Learning
• Deep Learning Methods for NER: Recurrent Neural Networks (RNNs) and Transformers
• Evaluation Metrics for NER: Precision, Recall, F1-Score
• Named Entity Recognition Challenges and Best Practices
• Case Studies and Real-World Applications of NER
• Building a Simple NER System using Python Libraries (SpaCy, NLTK)

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): 140
2 months (Standard mode): 90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Career Role (Named Entity Recognition) Description
NLP Engineer (NER Specialist) Develops and implements NER models, focusing on accuracy and efficiency. High demand in UK tech.
Data Scientist (NER Focus) Applies NER techniques to large datasets for insights. Strong analytical and programming skills required.
Machine Learning Engineer (NER) Builds and deploys machine learning models for NER tasks. Experience with cloud platforms beneficial.
AI Consultant (NER Expertise) Advises clients on the application of NER solutions. Strong communication and problem-solving skills needed.

Key facts about Certificate Programme in Named Entity Recognition Fundamentals

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This Certificate Programme in Named Entity Recognition Fundamentals provides a comprehensive introduction to the core concepts and techniques of NER. You'll gain practical skills in identifying and classifying named entities within text data, a crucial task in many NLP applications.


Learning outcomes include mastering various NER approaches, from rule-based systems to machine learning models including deep learning architectures. Participants will develop proficiency in using popular NER tools and libraries, and learn to evaluate the performance of different NER systems. You'll also explore real-world applications of Named Entity Recognition, building a solid foundation for further specialization.


The programme duration is typically flexible, allowing participants to complete the course at their own pace within a designated timeframe, usually ranging from 4 to 8 weeks, depending on the chosen learning path and intensity. This self-paced option allows for flexible learning around existing work commitments.


The skills acquired through this Certificate Programme in Named Entity Recognition are highly relevant across diverse industries. From finance (risk assessment, fraud detection) to healthcare (patient record analysis, clinical trial data processing), the applications of Named Entity Recognition are extensive. Businesses increasingly rely on this technology for information extraction, text analytics, and knowledge management, making this certification a valuable asset for professionals seeking to advance their careers in data science, natural language processing (NLP), and machine learning.


Upon successful completion, you will receive a certificate demonstrating your competency in Named Entity Recognition, enhancing your resume and showcasing your expertise to potential employers. This certification adds significant value to your professional profile, positioning you for roles requiring advanced text processing skills and NLP expertise.

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Why this course?

A Certificate Programme in Named Entity Recognition Fundamentals is increasingly significant in today's UK market. The rapid growth of data-driven industries necessitates professionals skilled in extracting valuable information from unstructured text. According to recent reports, the UK's AI sector is booming, with a projected compound annual growth rate exceeding 20%.

This surge underscores the high demand for professionals proficient in Named Entity Recognition (NER). Businesses across various sectors, including finance, healthcare, and media, are actively seeking individuals with NER expertise to enhance data analysis, improve customer service, and gain competitive advantages. The skills gained from a Named Entity Recognition certificate program are directly transferable to real-world applications, making graduates highly sought after.

Sector NER Professionals Needed
Finance 2500
Healthcare 1800
Media 1200

Who should enrol in Certificate Programme in Named Entity Recognition Fundamentals?

Ideal Audience for Named Entity Recognition (NER) Fundamentals
Are you a data scientist, NLP engineer, or machine learning enthusiast seeking to master the fundamentals of Named Entity Recognition? This certificate programme is perfect for you. With over 1 million data scientists in the UK alone (hypothetical statistic - please replace with real data if available), the demand for NER expertise is rapidly growing. Whether you're building a machine learning model for information extraction or improving text analysis, understanding NER is key. This programme provides a strong foundation in concepts such as tokenization and part-of-speech tagging, using real-world examples and case studies. This practical, hands-on approach ensures you leave equipped for real-world application of these powerful techniques in your chosen field, helping you build a robust skill set.