| Attribute | Detail |
|---|---|
| Format | Online, self-paced course |
| Level | Beginner |
| Duration | 2–3 Weeks |
| Certification | e-Certification |
| Fee | ₹199 / $20 |
| Tools | Natural Language Processing Text Data Tokenization Sentiment Analysis Text Classification Chatbots Basic Python |
About the Basics of Natural Language Processing Course
The Basics of Natural Language Processing course is a free, beginner-friendly self-paced program designed to introduce learners to how computers understand, process, and analyze human language.
Learners will explore basic NLP concepts such as text data, tokenization, sentiment analysis, language models, chatbots, and text classification. This course is ideal for beginners who want to understand how AI works with text, speech, and language-based applications.
Program Highlights
• Free beginner-level NLP course
• Online self-paced learning format
• Simple explanation of natural language processing concepts
• Covers text data, tokenization, sentiment analysis, and chatbots
• Real-world examples of NLP applications
• Suitable for students and first-time learners
• e-Certification upon successful completion
Course Curriculum
Module 1: Introduction to Natural Language Processing
- What is Natural Language Processing?
- Why NLP is Important in AI
- Human Language vs Machine Understanding
- Real-World Applications of NLP
Module 2: Understanding Text Data
- What is Text Data?
- Words, Sentences, Documents, and Corpora
- Basic Text Cleaning Concepts
- Tokenization and Stop Words
Module 3: Basic NLP Techniques
- Introduction to Text Classification
- Sentiment Analysis Concepts
- Keyword Extraction and Text Summarization
- Basic Search and Recommendation Ideas
Module 4: NLP Models and Applications
- Introduction to Language Models
- Chatbots and Virtual Assistants
- NLP in Translation, Search, and Customer Support
- Responsible Use of NLP Systems
Module 5: Applications and Next Steps
- NLP in Business, Healthcare, Education, and Research
- Career and Learning Pathways in NLP
- Introduction to Advanced NLP and Generative AI
- Mini Learning Activity / Concept-Based Practice
Tools, Techniques, or Platforms Covered
Natural Language Processing Text Data Tokenization Sentiment Analysis Text Classification Chatbots Basic Python
Real-World Applications
- Understanding how chatbots and virtual assistants work
- Analyzing customer reviews and social media comments
- Classifying text in emails, documents, and support tickets
- Using NLP for search, translation, and summarization
- Preparing for advanced learning in NLP, AI, and generative AI
Who Should Attend & Prerequisites
- This course is suitable for students, beginners, freshers, and professionals who want to understand how AI works with human language.
- It is also useful for learners from computer science, engineering, business, management, communication, linguistics, education, and other fields interested in AI and language technologies.
Certification
