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Free Certificate

Introduction to Natural Language Processing Free Courses

Master the basics of human language tech with this Natural Language Processing course—covering tokenization, RegExp, spell correction, phonetic hashing, and spam detection. Develop NLP skills for AI, automation, and data-driven applications.

11 hours of learning

NLP

Workings of NFT

Lexical Processing

For enquiries call:
18002102020
Introduction to Natural Language Processing

Key Highlights Of This Natural Language Processing Course

What You Will Learn

Basic Lexical Processing

Learn basic lexical processing and preprocessing for text analytics. Apply it to machine learning, language models, chatbots, and sentiment analysis. Build a spam-ham detector with an unclean text corpus.

  • Tokenisation
    Break down large texts into individual words or tokens—an essential step that allows machine learning models to interpret and analyze text effectively.
  • Stop words removal
    Remove common yet uninformative words like “the,” “is,” or “and” to enhance the quality of text data and improve model accuracy.
  • Stemming
    Learn how to reduce words to their base or root form by chopping off suffixes—helpful in normalizing textual data for better analysis.
  • Lemmatization
    Unlike stemming, lemmatization considers the context to convert words to their meaningful base forms, ensuring more accurate and readable preprocessing.
  • Bag-of-words model
    Understand how to represent text as numerical vectors based on word frequency, forming the foundation for traditional machine learning algorithms in NLP.
  • TF-IDF model
    Learn to weigh terms based on their importance across documents using Term Frequency–Inverse Document Frequency—crucial for document classification and retrieval tasks

Advanced Lexical Processing

Despite preprocessing, data can have noise like spelling mistakes and informal words (‘lol’, ‘awsum’). You'll learn to identify and correct misspelled words and handle spelling variations from different pronunciations.

  • Phonetic hashing & the Soundex algorithm
    Explore phonetic algorithms like Soundex that encode words based on pronunciation—ideal for identifying similar-sounding words and resolving inconsistencies in user-generated text.
  • The minimum-edit-distance algorithm
    Understand how this algorithm calculates the least number of operations required to transform one word into another, widely used in spell-check and auto-correct systems.
  • PMI score
    Learn how Pointwise Mutual Information (PMI) measures the association between word pairs in a text, helpful in tasks like synonym detection, word clustering, and topic modeling.

Natural Language Processing Course Certification

Earn and Share Your Certificate

Official & Verifiable

Receive a signed and verifiable e-certificate from upGrad upon successfully completing the course.

Share Your Achievement

Post your certificate on LinkedIn or add it your resume! You can even share it on Instagram or Twitter.

Stand Out to Recruiters

Use your certificate to enhance your professional credibility and stand out among your peers!

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Why Enroll in a Natural Language Processing Free Course?

If you're curious about how machines understand human language or want to build your career in AI, a natural language processing free course is a great starting point. From mastering the basics like tokenization and regex to applying NLP in real-world projects, these courses help you build strong, in-demand skills without the cost barrier. 

Here’s what makes them worth your time:

Enhanced Language Understanding - Learn how computers interpret and process human language, enabling smoother interactions with AI tools, chatbots, and voice assistants. A natural language processing online free course helps bridge the gap between human intent and machine response.

Improved Data Analysis - With NLP, you can extract patterns, insights, and trends from massive volumes of unstructured text, boosting your analytical skills and making you more data-savvy.

Career Advancement - NLP is a fast-growing field with roles like NLP engineer, data scientist, and AI researcher in high demand. Completing an NLP course with free certification adds credibility to your resume and helps you stand out in job applications.

 Automation of Repetitive Tasks - NLP powers automation for tasks like sentiment analysis, text summarization, language translation, and spam detection, making your workflows more efficient and intelligent.

Personalized Learning Paths - In the world of edtech, NLP is used to create adaptive learning experiences. When you learn NLP, you not only gain tech skills but also understand how personalization in digital products works.

Access Without the Cost - These natural language processing free courses are budget-friendly. With no enrollment fees and optional certification, they make high-quality learning accessible to all.

Hands-On, Practical Skill Development - Many free NLP courses go beyond theory. You'll get to work on real datasets, apply what you learn in projects, and come away with tangible skills you can use immediately.

Who Should Enroll in This Natural Language Processing Course?

This Natural Language Processing course is ideal for anyone eager to work with text data. Gain job-ready NLP skills to build smarter applications, analyze language, and understand how AI interacts with human communication.

This course is ideal for

Aspiring Data Scientists & ML Engineers – Build essential NLP capabilities required to extract insights and drive predictions from unstructured text data.

Developers & Programmers – Learn to embed NLP functionalities like entity recognition, sentiment analysis, and chatbot logic into your codebase.

AI & ML Enthusiasts – Explore foundational techniques in NLP such as tokenization, stemming, and phonetic hashing to fuel your AI projects.

Students & Researchers – Gain conceptual clarity and practical skills that support academic work, competitive exams, or research in computational linguistics.

Product Managers & Tech Leads – Develop a functional understanding of NLP to align product roadmaps with AI-driven language capabilities.

Content & SEO Professionals – Understand how NLP enables search relevance, keyword extraction, and content personalization to optimize digital visibility.

What Makes This Course Different From Other Courses?

Unlike traditional AI courses that dive straight into complex math or theory, this Natural Language Processing course focuses on clarity, real-world relevance, and hands-on learning. It’s built for beginners who want to apply NLP practically.

How We Compare to Other Platforms:

Feature

This Course (upGrad)

Other Platforms

Course Fee

✅ 100% Free Natural Language Processing Course

❌ Paid content or limited-time free access

Lifetime Access

✅ Unlimited access to all modules

❌ Often restricted to subscription duration

Certification

✅ Free digital certificate on completion

❌ Certification usually behind a paywall

Practical NLP Skills

✅ Hands-on with spam detection, RegExp, TF-IDF, etc.

❌ Heavy on theory, light on application

Beginner-Friendly

✅ Built for non-coders and early-stage learners

❌ Assumes prior knowledge of ML or linguistics

Real-World Projects

✅ Includes use cases like sentiment analysis, chatbots

❌ Focuses on abstract algorithms without context

Learning Flexibility

✅ 100% self-paced and modular

❌ Fixed durations, batch-based learning

Free vs. Paid Courses: What Sets Them Apart?

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