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Basics of Natural Language Processing
Original price was: INR ₹499.00.INR ₹199.00Current price is: INR ₹199.00.
Introduction to NLP concepts, text preprocessing techniques, and language representation methods.
Core tasks like text classification, sentiment analysis, and applications of NLP in real-world systems.
About the 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
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.
Prerequisites: No prior NLP or programming knowledge is required. Basic computer knowledge and interest in AI, language, or data are enough to begin.
Frequently Asked Questions
1. Is this Basics of Natural Language Processing course free?
Yes. This is a free online self-paced course designed for beginners.
2. What will I learn in this NLP course?
You will learn the basics of text data, tokenization, sentiment analysis, text classification, chatbots, and language models.
3. Do I need coding knowledge before joining?
No. The course focuses on beginner-level NLP concepts and does not require prior coding experience.
4. Who can join this course?
Students, beginners, freshers, and professionals from any background interested in AI and language technologies can join.
5. Will I receive a certificate?
Yes. Learners receive an e-Certification after completing the course.
6. Is this course suitable for complete beginners?
Yes. The course is designed for complete beginners and explains NLP concepts in simple language using real-world examples.
7. What is the duration of this course?
The Basics of Natural Language Processing course is designed as a 2–3 week online self-paced course.
8. Does this course cover chatbots?
Yes. The course introduces chatbots and virtual assistants as important real-world applications of natural language processing.
9. Is this course useful before learning generative AI?
Yes. NLP is an important foundation for understanding language models and generative AI, so this course is useful before moving into advanced NLP and generative AI topics.
10. What makes this NLP course beginner-friendly?
The course explains text data, tokenization, sentiment analysis, chatbots, and language models using simple examples without requiring prior NLP, programming, or advanced mathematics knowledge.
The Basics of Natural Language Processing course provides a simple and structured introduction to how computers understand and process human language. It helps learners build a foundation in text data, NLP techniques, chatbots, sentiment analysis, and language-based AI applications.
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