Free Natural Language Processing Course – Level 3

Learn how computers prepare and represent human language with Oxford Home Study Centre. This free Level 3 course introduces the foundations of Natural Language Processing, including text preprocessing and feature representation.

The programme has an estimated duration of 200 hours and is open to learners without formal entry requirements. You can browse our complete online course catalogue, explore the wider artificial intelligence course collection or compare other free online courses.

Natural Language Processing, usually shortened to NLP, is an area of artificial intelligence concerned with computational methods for working with human language. Applications include text classification, search, translation, conversational systems and sentiment analysis.

This course focuses on the foundation stage of NLP. You will begin with an overview of the field before moving into text preprocessing and feature representation.

The course introduces techniques such as tokenisation, stop-word removal and stemming, then explains how text can be converted into numerical forms using approaches such as Bag of Words, TF-IDF and word embeddings.

The programme is intentionally narrower than our longer paid NLP course, which extends into syntax, semantics, sentiment analysis, sequence modelling and current NLP challenges.

Who Should Take This Course?

The course may suit beginners exploring artificial intelligence and language technology, students preparing for more technical NLP study, professionals curious about text-processing systems and learners considering further study in AI, data science or computational linguistics.

Free NLP Course or Advanced NLP Programme?

If you already understand preprocessing and feature representation and want broader study, compare our advanced Natural Language Processing programme.

The free course covers three foundation modules, while the paid programme extends into syntax, semantic analysis, sentiment classification, sequence modelling and current NLP challenges.

Frequently Asked Questions

Is this natural language processing course free?

Yes. You can study the course online without an enrolment fee. Optional certification is purchased separately after successful completion.

Do I need programming experience?

No formal entry requirements apply. The course introduces NLP concepts rather than assuming advanced technical knowledge.

What does the free NLP course cover?

It covers an overview of NLP, text preprocessing and feature representation, including Bag of Words, TF-IDF and word embeddings.

How long is the course?

The estimated study duration is 200 hours and the course is self-paced.

Does this course include an NLP certificate?

Certification is optional rather than included with free study. Check the current certificate page for available CPD and QLS options.

What should I study after NLP fundamentals?

The advanced NLP programme is the natural progression route if you want to continue into syntax, semantics, classification, sequence modelling and current NLP challenges.

What You Will Learn

Explain the purpose and scope of natural language processing.
Recognise common NLP applications and basic terminology.
Describe text preprocessing methods including tokenisation, stop-word removal and stemming.
Understand why text must be converted into numerical representations for machine-learning models.
Compare introductory feature approaches including Bag of Words, TF-IDF and word embeddings.

Free Study and Optional Certification

You can enrol on NLP Fundamentals for Beginners, access the online learning materials and complete the course without paying a course fee. Certification is optional, separate from free study and available after successful completion.

You may choose to purchase:

QLS-endorsed Certificate of Achievement
CPD-accredited certificate issued by the CPD Standards Office as a record of continuing professional development

You can order either certificate individually or purchase both for the same completed course. Buying one does not require you to buy the other.

Each certificate has its own price, and the total payable may vary according to the certificates selected, course level, format and delivery option. See our current certificate options and prices.

Certification is optional and is not required to access the course materials or complete your studies.

Course Content

Topics Covered in the Course

Course Syllabus

Module 1: Overview of Natural Language Processing

Begin with the role of NLP in artificial intelligence and human-computer interaction. Explore common language-processing tasks and the challenges involved in enabling computers to work with human language.

Module 2: Text Preprocessing Techniques

Learn how raw text can be cleaned and prepared for analysis. The module introduces tokenisation, stop-word removal, stemming and related preparation techniques.

Module 3: Feature Representation in NLP

Explore how language can be converted into numerical features that computational models can process. Compare Bag of Words, TF-IDF and word embeddings and consider what each representation captures.

How It Works

Build your knowledge through clear and accessible online learning.

Complete the assignments and achieve the required marks.

Choose an optional certificate after completing the course.

Why Choose a Certificate?

An optional certificate provides a clear record of successful course completion. Add it to your learning portfolio and share it where relevant.

Completing the course and its assessments shows your commitment to developing subject knowledge through focused, independent learning.

Use your new knowledge to support further study, workplace development or personal goals. A certificate records completion but does not guarantee employment or professional status.