Why learn Natural Language Processing
with EduMonk?
Turn raw language into measurable features and useful systems. Progress from text cleaning and classical models to embeddings, transformers and task-specific NLP evaluation.
The online syllabus follows a deliberate rhythm: learn the underlying concept, apply it in guided practice, confirm it with a checkpoint, and connect it to a project decision. By the end, you will have more than lesson completion—you will have evidence you can discuss.
Start learning for ₹1,650 today.
For the Natural Language Processing Certificate of Specialisation, pay ₹1,650 now and the remaining ₹1,500 next month. The two payments together cover the complete ₹3,150 programme fee.
Build the skills
behind your career.
Technical knowledge is only one part of becoming career-ready. Your Natural Language Processing enrolment also includes a focused professional-development journey at no additional cost.
FREE
EduMonk Career Edge
60-Day Soft Skills & Career Readiness Program
Spend approximately 20 minutes every day developing the communication, confidence, workplace and career-readiness skills that complement your technical education.
What you'll learn in Natural Language Processing.
Every outcome uses an observable action—something you can build, evaluate, explain or improve.
Where Natural Language Processing is used
Use the programme workflow to frame, build and evaluate sentiment and intent classification.
Use the programme workflow to frame, build and evaluate document search.
Use the programme workflow to frame, build and evaluate entity extraction.
Use the programme workflow to frame, build and evaluate text moderation and routing.
Natural Language Processing skills
you'll build.
The programme develops eight connected skills and gives each one a place in the syllabus, lab work or assessment.
Your 2-month Natural Language Processing
learning plan.
A sustainable sequence that gives you time to understand, practise and produce useful work.
Enter AI foundations
Complete Introduction to Natural Language Processing and Python for NLP.
Build with data and ML
Complete Text Preprocessing, Understanding Text as Data and the Level 1 projects.
Apply modern AI
Work through Modules 5–8 and complete the applied AI projects.
Understand generative systems
Complete Part-of-Speech Tagging & Linguistic Analysis and Topic Modelling.
Build AI applications
Practise Neural Networks for NLP and Recurrent Neural Networks.
Integrate, evaluate & demonstrate
Complete the remaining Level 3 modules and deliver the final specialisation capstone.
Natural Language Processing syllabus:
24 modules, 30 hours.
This is the complete planned syllabus for the Natural Language Processing Certificate of Specialisation. The 24 focused modules combine concept learning, hands-on practice and completion checks across the two-month journey.
Build practical capability in introduction to natural language processing.
01What is Natural Language Processing?Lesson
02Artificial Intelligence, Machine Learning and NLPLesson
03Why human language is difficult for computersLesson
04Structured vs unstructured textLesson
05Natural Language UnderstandingLesson
06Natural Language GenerationLesson
07NLP pipelineLesson
08Challenges in NLPLesson
Time includes lesson study, guided practice, checkpoint preparation and project integration. Learners may spend longer when extending project work.
Hands-on Natural Language Processing
course projects.
Build 9 practical applications across the syllabus's progressive levels. The 3 capstones ask you to combine each level's skills, evaluate the result and explain the decisions behind it.
SMS Spam Detection System
Build, test and document a practical sms spam detection system using the skills developed in Level 1.
News Category Classification System
Build, test and document a practical news category classification system using the skills developed in Level 1.
Customer Review Sentiment Analysis System
Build, test and document a practical customer review sentiment analysis system using the skills developed in Level 1.
Resume Information Extraction System
Build, test and document a practical resume information extraction system using the skills developed in Level 2.
Customer Feedback Topic Analyzer
Build, test and document a practical customer feedback topic analyzer using the skills developed in Level 2.
Deep Learning-Based Sentiment & Emotion Analysis System
Build, test and document a practical deep learning-based sentiment & emotion analysis system using the skills developed in Level 2.
Transformer-Based News Classification System
Build, test and document a practical transformer-based news classification system using the skills developed in Level 3.
Semantic Search Engine
Build, test and document a practical semantic search engine using the skills developed in Level 3.
Intelligent Document Understanding & Question Answering Platform
Build, test and document a practical intelligent document understanding & question answering platform using the skills developed in Level 3.
Natural Language Processing tools you'll work with
How the Natural Language Processing
course is assessed.
Your result reflects steady application across the programme—not one high-pressure exam.
Module checkpoints
24 focused checks confirm that core concepts and terminology are secure.
Hands-on labs
Every module includes a guided lab tied directly to the syllabus.
Level projects
Complete 6 focused Natural Language Processing builds across the three levels.
Capstone projects
Plan, build, test and explain 3 progressively more complete solutions.
Certificate eligibility
Complete all required modules, submit the assignments and capstone, and achieve at least 60% overall.
Who should take this
Natural Language Processing course?
College students
Build practical Natural Language Processing evidence alongside your academic work.
Working professionals
Use Natural Language Processing to strengthen your current role or move towards artificial intelligence work.
Builders & analysts
Turn concepts into a guided project, capstone and documented decisions.
Career switchers
Follow a clear starting path with no assumption of professional experience.
Natural Language Processing course prerequisites
- Basic Python
- Machine-learning concepts helpful
- No linguistics background required
- A willingness to practise and complete the capstone
Natural Language Processing career paths
and applications.
This programme does not promise a job. It helps you build relevant capability and evidence for conversations around roles such as:
Natural Language Processing guides,
roadmaps and comparisons.
Use these editorial resources to understand where Natural Language Processing fits, what a sensible learning path looks like and how to turn the subject into project evidence.
Beginner guideArtificial Intelligence · Beginner guide · 10 min readNLP for beginnersLearn natural language processing through text preparation, classification, embeddings, transformers, language models and practical evaluation.
Read the guide ↗
Beginner guideArtificial Intelligence · Beginner guide · 9 min readPrompt engineering beginner guideLearn a disciplined prompt-engineering workflow based on task definition, context, output contracts, examples, evaluation and maintenance.
Read the guide ↗
RoadmapArtificial Intelligence · Roadmap · 12 min readMachine Learning roadmapFollow a practical machine-learning roadmap through Python, data preparation, modelling, evaluation, projects and responsible deployment thinking.
Read the guide ↗Your Natural Language Processing
Certificate & LOR.
Learners who successfully meet all programme completion requirements receive an EduMonk Certificate of Specialisation and a programme-specific Letter of Recommendation. Both documents are issued as soft copies, and hard copies are dispatched by post to the learner address on record.
Natural Language Processing Certificate of Specialisation
Natural Language Processing Letter of Recommendation
About these samplesFinal documents are personalised with the completed learner's name, programme record, dates and identifiers. Sample names and details are illustrative. Please keep the postal address in your learner record accurate for hard-copy dispatch.
Natural Language Processing course FAQs.
Is this specialisation beginner friendly?+
Natural Language Processing is marked intermediate. The syllabus begins with foundations and states any useful prior knowledge clearly. Professional experience is not required.
Is this a real 30-hour syllabus?+
Yes. The programme contains 24 focused modules with concept learning, hands-on practice and knowledge checks, planned across 30 learning hours in total.
What will I build?+
You will complete 9 projects across three levels, including 3 capstones. The sequence begins with SMS Spam Detection System and culminates in the Intelligent Document Understanding & Question Answering Platform.
How are learners assessed?+
Completion combines module checkpoints, hands-on labs, a guided project and the final capstone. A minimum overall score of 60% is required for certificate eligibility.
What support is included?+
Your enrolment includes the complete sequenced learning experience, downloadable resources, project guidance and learner support through the connected external learner portal.
Is EduMonk Career Edge included?+
Yes. This Certificate of Specialisation includes complimentary access to EduMonk Career Edge, a 60-day Soft Skills & Career Readiness Program with one focused lesson of approximately 20 minutes each day. Career Edge adds ₹0 to your ₹3,150 programme fee.
How do payment and programme access work?+
The Enrol Now button opens this specialisation’s secure Razorpay Payment Page. EduMonk does not collect card, UPI or bank credentials. After the payment is confirmed, access to this specialisation and EduMonk Career Edge is prepared manually and sent to your registered email within 4 hours.
What certificate will I receive?+
After meeting the completion requirements, you will earn a verifiable EduMonk Certificate of Specialisation in Natural Language Processing.
Which completion documents are issued?+
Learners who successfully meet the Natural Language Processing completion requirements receive a soft-copy Certificate of Specialisation and programme-specific Letter of Recommendation. Hard copies of both documents are also dispatched by post to the learner address on record.
How long can I access the programme?+
The structured learning journey lasts 2 Months. Access details, completion records and earned credentials are managed through the connected external learner portal.
