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U&P AI - Natural Language Processing (NLP) with Python cover image

U&P AI - Natural Language Processing (NLP) with Python
One Education

Master Text Mining & NLP with Python | Free CPD Certificate | Instructor-led | Easy Refund

Summary

Price
£19 inc VAT
Study method
Online, On Demand
Duration
5.8 hours · Self-paced
Qualification
No formal qualification
CPD
10 CPD hours / points
CPD What's this?
Certificates
  • Reed Courses Certificate of Completion - Free
Additional info
  • Tutor is available to students

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Overview

Are you ready to turn text into insight? Learn NLP with Python and build models that power everything from chatbots to search engines.

Step into the world of AI with one of the most in-demand skills in data science—Natural Language Processing. Master how machines understand human language and open doors to a high-paying, future-proof career.

Natural Language Processing (NLP) is at the core of AI-driven communication technologies. This course walks you through the principles and practical aspects of NLP using Python. From understanding raw text to developing your own NLP pipeline, this hands-on course helps you unlock data from language. Whether you’re exploring sentiment analysis, machine translation, or topic modelling, this course equips you with real-world applications and industry insights to get you project-ready.

What is Included:

  • Hands-on NLP training covering Word2Vec, feature engineering and text analysis
  • Practical Python coding exercises with real-world datasets
  • Expert tutor support throughout your learning journey
  • Industry-relevant curriculum designed by AI specialists
  • Free Certificate upon completion

What Makes This Course a Smart Career Move?

The demand for professionals skilled in NLP has surged, with applications in finance, healthcare, marketing, and customer service. According to job market data, NLP-related roles in the UK are projected to grow steadily, with AI Specialists earning an average of £60k–£90k annually.

By learning NLP with Python—one of the most used programming languages in data science—you’re equipping yourself with skills that are not only in demand but also highly transferable across industries. This course positions you at the intersection of language and machine intelligence, making you a valuable asset in today’s data-driven job market.

Enrol now to build intelligent language models and join the future of AI.

Certificates

Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.

CPD

10 CPD hours / points
Accredited by CPD Quality Standards

Curriculum

7
sections
69
lectures
5h 51m
total

    • 1: Section 1_2 - Introduction 02:59
    • 2: 3 - By The End Of This Course 01:18
    • 3: 4 - Installation 03:30
    • 4: 5 - Tips 00:30
    • 5: 6 - U - Tokenizing Data 01:15
    • 6: 7 - P - Tokenization 02:21
    • 7: 8 - U - Stemming 01:56
    • 8: 9 - P - Stemming 04:50
    • 9: 10 - U - Lemmatization 01:47
    • 10: 11 - P - Lemmatization 03:06
    • 11: 12 - U - Chunks 01:45
    • 12: 13 - P - Chunks 05:04
    • 13: 14 - U - Bag of Words 04:15
    • 14: 15 - P - Bag Of Words 04:20
    • 15: 16 - U - Category Predictor 04:29
    • 16: 17 - P - Category Predictor 05:49
    • 17: 18 - U - Gender Identification 01:07
    • 18: 19 - P - Gender Identifier 07:38
    • 19: 20 - U - Sentement Analysis 02:21
    • 20: 21 - P - Sentement Analyzer 06:58
    • 21: 22 - U - Topic Modeling 02:45
    • 22: 23 - P - Topic Modeling 05:54
    • 23: 24 - Summary 01:12

    • 24: Section 2_1 - Introduction 01:36
    • 25: 2 - One Hot Encoding 02:26
    • 26: 3 - Count Vectorizer 03:30
    • 27: 4 - N-grams 03:56
    • 28: 5 - Hash 01:35
    • 29: 6 - Word Embedding 10:40
    • 30: 7 - FastText 03:31

    • 31: Corpuses_WordNet - 1 - Introduction 01:06
    • 32: Corpuses_WordNet - 2 - in-built 05:45
    • 33: Corpuses_WordNet - 3 - external corpora 07:30
    • 34: Corpuses_WordNet - 4 - corpuses_FD 07:19
    • 35: Corpuses_WordNet - 5 - FD 05:57
    • 36: Corpuses_WordNet - 6 - WordNet 05:44
    • 37: Corpuses_WordNet - 7 - WordNet H_H 07:22
    • 38: Corpuses_WordNet - 8 - WordNet - The Average 06:44

    • 39: 1 - Introduction and Challenges 08:11
    • 40: 2-0Tokenization for Building your Vocabulary 02:25
    • 41: 2-1Tokenization for Building your Vocabulary 03:02
    • 42: 2-2Tokenization for Building your Vocabulary 07:11
    • 43: 2-3Tokenization for Building your Vocabulary 11:40
    • 44: 2-4Tokenization for Building your Vocabulary 06:13
    • 45: 2-5Tokenization DotProduct 03:12
    • 46: 2-6Measuring similarity using dotproduct 02:50
    • 47: 2-7-reducing dim of vocabA token improvement 02:03
    • 48: 2-8 N-grams for your vocabulary 09:30
    • 49: 2-9 Normalizing for your vocabulary 09:36
    • 50: 2-10 Case normalization for your vocab 05:10
    • 51: 2-11 When to use stemming and lemmatization 03:36
    • 52: 3 - 0Sentiment Analysis in details 05:00
    • 53: 3 - 1Approaches for SA 02:41
    • 54: vocab-17 - rule based 05:13
    • 55: vocab-18 - naive baies 10:21
    • 56: vocab-19 04:22
    • 57: vocab-20 - summary 00:48

    • 58: word2vec-1 04:14
    • 59: word2vec-2 13:59
    • 60: word2vec-3-4 08:22
    • 61: word2vec-5 10:30
    • 62: word2vec-6 16:19
    • 63: word2vec-7 10:26
    • 64: word2vec-8 03:03
    • 65: word2vec-9 02:00

    • 66: 1-keywordsearchVSss 04:04
    • 67: 2-problems in tfidf 10:00
    • 68: 3- TF-IDF vectors to Topic Vectors under 11:23

    • 69: Leave a Review 01:00

Course media

Description

This course is designed for learners who want to dive into the exciting world of Natural Language Processing using Python. It covers essential NLP concepts, tools, and methods, starting from the basics and advancing to powerful representation techniques such as Word2Vec and custom vocabulary creation. You will also explore how to interpret and find meaning in text—key to building intelligent, responsive AI systems.

You’ll engage in interactive lessons, practical exercises, and a final assignment designed to reinforce your learning. By the end of this course, you’ll have the skills to develop your own NLP models, a foundational understanding of how machines process human language, and a solid step toward a successful career in AI and data science.

Learning Objectives:

  • Understand the foundations and applications of NLP
  • Perform feature engineering on text data
  • Handle and manipulate corpora using tools like WordNet
  • Build custom vocabularies and use Word2Vec for semantic understanding
  • Identify key topics and meanings from natural language text

Why should you take this course?

NLP is one of the fastest-growing fields in artificial intelligence. As businesses continue to automate communication and decision-making, the demand for NLP professionals is higher than ever. This course provides a practical, project-based learning path designed for real-world applications. Whether you're new to data science or looking to expand your skill set, this course gives you a competitive edge in a high-growth area.

Course Curriculum:

  • Module 01: Getting an Idea of NLP and its Applications
  • Module 02: Feature Engineering
  • Module 03: Dealing with corpus and WordNet
  • Module 04: Create your Vocabulary for any NLP Model
  • Module 05: Word2Vec in Detail and what is going on under the hood
  • Module 06: Find and Represent the Meaning or Topic of Natural Language Text

Who is this course for?

  • Aspiring data scientists and AI professionals
  • Python learners interested in NLP
  • Software developers seeking to specialise in AI
  • Researchers and analysts handling text data
  • Anyone looking to enter the AI and language technology industry

Requirements

No prior experience required. Just a stable internet connection, a compatible device, and the motivation to learn NLP with Python.

Career path

  • NLP Engineer – 55k to 80k
  • Machine Learning Engineer – 60k to 95k
  • AI Specialist – 60k to 90k
  • Data Scientist – 45k to 85k
  • Text Analytics Consultant – 50k to 75k

Questions and answers

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Reviews

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Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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