Classic NLP Masterclass
A 20-hour NLP masterclass on the classical text-analytics stack — cleaning, TF-IDF, POS tagging, named-entity recognition, topic modeling and text classification. You leave able to turn raw, unstructured text into structured signals your models can use.
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Course Info
- Type
- Certification
- Subject
- Individual & Professional Certification
- Duration
- 20 hours
- Course code
- CNLPCM
- Prerequisites
- Basic computer literacy; no advanced prerequisites.
Delivery
- Live-virtual — Instructor-led online cohorts.
- On-site — In-person at your premises or ours.
Tools
- Text cleaning
- regex
- TF-IDF
- POS
- NER
- topic modeling
- classification
What you'll learn
A 20-hour NLP masterclass on the classical text-analytics stack — cleaning, TF-IDF, POS tagging, named-entity recognition, topic modeling and text classification. You leave able to turn raw, unstructured text into structured signals your models can use.
Working on real text, you clean and represent it (regex, TF-IDF), tag and extract entities, model topics, and build classifiers. The capstone is a working text-analytics pipeline.
- Analysts and data scientists working with text data.
- Teams building search, tagging or document-classification features.
- Clean, normalize and represent text data.
- Extract entities and part-of-speech information.
- Model topics across a document collection.
- Build accurate text-classification models.
- Assemble an end-to-end NLP pipeline.
- Hands-on labs throughout the program (70% project-based).
- A capstone project demonstrating end-to-end skills.
- Build text-classification and entity-extraction pipelines.
- Turn unstructured text into structured, analyzable signals.
Globally accredited certificate issued by Epsilon AI Learning — USA, with a unique Certificate ID and EPSILON ID. Awarded on 80% attendance, 80% final exam, and a capstone project.
Program Curriculum
- Cleaning and normalizing text
- Tokenization and stemming/lemmatization
- Regular expressions (regex)
- Bag-of-words and TF-IDF
- N-grams and vocabularies
- Feature extraction for models
- Part-of-speech (POS) tagging
- Named-entity recognition (NER)
- Building extraction pipelines
- Topic modeling (LDA)
- Clustering documents
- Interpreting topics
- Building classifiers
- Evaluation and imbalance
- Sentiment and intent
- Framing a text problem
- Building an end-to-end pipeline
- Turning text into structured signals
Frequently asked questions
Is this about large language models (LLMs)?
No — this masterclass covers the classical NLP stack (cleaning, TF-IDF, NER, topic modeling, classification). LLMs and generative NLP are covered in the Generative AI program (CGAIP), which comes before it on the NLP Engineer path.
What do I need to know first?
It is recommended after CDSP, DLM and CGAIP on the NLP Engineer path — you then work on real text data throughout, from cleaning to classification.
What can I build with it?
Text-classification, entity-extraction and topic-modeling features — the capstone is a working text-analytics pipeline.
How much does the program cost?
We quote on a call rather than publishing a figure, because the price depends on the format you pick — live online, onsite, or a private cohort for a team — and because we would rather check the programme is right for you before talking about money. An advisor goes through what it covers, what you will be able to do at the end, and the prerequisites, and then gives you the exact price and the payment options. It takes about twenty minutes and there is no obligation. Request it from the form on this page.
When does the next cohort start?
New cohorts open regularly, online and onsite, and we confirm dates on the same call as the price — partly because they move, and partly because the right date depends on which format suits you and whether you meet the prerequisites yet. Ask on the form and an advisor will give you the next available starts that fit your schedule.
Is the program online or onsite, and in which language?
Both — Epsilon runs live, instructor-led sessions online and onsite, plus dedicated corporate cohorts. Programs are delivered in English and Arabic, with bilingual materials and instructor support. Tell us your preference in the registration form.
What certificate will I receive?
A globally accredited certificate from Epsilon AI Learning — USA, carrying a unique Certificate ID and Epsilon ID. It is awarded on 80% attendance, an 80% final exam, and a completed capstone project, and it is verifiable online.
Continue your pathway
This program is part of the Epsilon certification framework. Explore the full seven-level pathway and top-up programs to build on what you learn here.
NLP Engineer
- Certified Data Scientist Professional
- Deep Learning Masterclass
- Certified Generative AI Professional
- Classic NLP Masterclass
Led by Epsilon's expert instructors
Every program is delivered by practitioners who ship AI and analytics in industry — the same team across all Epsilon programs.
Where our graduates work
A sample of the employers hiring Epsilon Learning graduates across the region and beyond.
Earning your accredited certificate
To receive the accredited certificate you need at least 80% attendance, at least 80% in the final exam, and a completed capstone project.
When the next cohort starts
Dates are confirmed on the same call as the price, because they move and because the right start depends on the format that suits you. Ask to be told when the next one opens and an advisor will come back with the starts that fit your schedule.
Tell me when the next one opens
Your name and a way to reach you. No newsletter — we write when there is a date.
Register — Classic NLP Masterclass
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