Basics of Natural Language Processing

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<div style=”background-color: #f7fafc; padding: 12px 20px; font-weight: bold; color: #2c5282;”>Attribute</div>
<div style=”background-color: #ffffff; padding: 12px 20px; font-weight: bold; color: #2c5282;”>Detail</div>

<div style=”background-color: #f7fafc; padding: 10px 20px; border-top: 1px solid #e2e8f0;”>Format</div>
<div style=”background-color: #ffffff; padding: 10px 20px; border-top: 1px solid #e2e8f0;”>Online, self-paced course</div>

<div style=”background-color: #f7fafc; padding: 10px 20px; border-top: 1px solid #e2e8f0;”>Level</div>
<div style=”background-color: #ffffff; padding: 10px 20px; border-top: 1px solid #e2e8f0;”>Basic / Beginner</div>

<div style=”background-color: #f7fafc; padding: 10px 20px; border-top: 1px solid #e2e8f0;”>Duration</div>
<div style=”background-color: #ffffff; padding: 10px 20px; border-top: 1px solid #e2e8f0;”>2–3 Weeks</div>

<div style=”background-color: #f7fafc; padding: 10px 20px; border-top: 1px solid #e2e8f0;”>Certification</div>
<div style=”background-color: #ffffff; padding: 10px 20px; border-top: 1px solid #e2e8f0;”>e-Certification</div>

<div style=”background-color: #f7fafc; padding: 10px 20px; border-top: 1px solid #e2e8f0;”>Fee</div>
<div style=”background-color: #ffffff; padding: 10px 20px; border-top: 1px solid #e2e8f0;”>Free Course</div>

<div style=”background-color: #f7fafc; padding: 10px 20px; border-top: 1px solid #e2e8f0;”>Tools</div>
<div style=”background-color: #ffffff; padding: 10px 20px; border-top: 1px solid #e2e8f0;”>NLP Concepts, Basic Python</div>
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<div style=”font-size: 24px; font-weight: bold; color: #2c5282; margin-bottom: 15px;”>About the Course</div>

<div style=”margin-bottom: 20px;”>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.</div>

<div style=”margin-bottom: 30px;”>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.</div>

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<div style=”font-size: 22px; font-weight: bold; margin-bottom: 15px;”>Program Highlights</div>
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<div style=”font-size: 14px;”>• Free beginner-level NLP course</div>
<div style=”font-size: 14px;”>• Online self-paced learning format</div>
<div style=”font-size: 14px;”>• Simple explanation of natural language processing concepts</div>
<div style=”font-size: 14px;”>• Covers text data, tokenization, sentiment analysis, and chatbots</div>
<div style=”font-size: 14px;”>• Real-world examples of NLP applications</div>
<div style=”font-size: 14px;”>• Suitable for students and first-time learners</div>
<div style=”font-size: 14px;”>• e-Certification upon successful completion</div>
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<div style=”font-size: 24px; font-weight: bold; color: #2c5282; margin-bottom: 20px;”>Course Curriculum</div>

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<div style=”font-weight: bold; color: #3182ce; margin-bottom: 10px; font-size: 18px;”>Module 1: Introduction to Natural Language Processing</div>
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<li>What is Natural Language Processing?</li>
<li>Why NLP is Important in AI</li>
<li>Human Language vs Machine Understanding</li>
<li>Real-World Applications of NLP</li>
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<div style=”font-weight: bold; color: #3182ce; margin-bottom: 10px; font-size: 18px;”>Module 2: Understanding Text Data</div>
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<li>What is Text Data?</li>
<li>Words, Sentences, Documents, and Corpora</li>
<li>Basic Text Cleaning Concepts</li>
<li>Tokenization and Stop Words</li>
</ul>
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<div style=”font-weight: bold; color: #3182ce; margin-bottom: 10px; font-size: 18px;”>Module 3: Basic NLP Techniques</div>
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<li>Introduction to Text Classification</li>
<li>Sentiment Analysis Concepts</li>
<li>Keyword Extraction and Text Summarization</li>
<li>Basic Search and Recommendation Ideas</li>
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<div style=”font-weight: bold; color: #3182ce; margin-bottom: 10px; font-size: 18px;”>Module 4: NLP Models and Applications</div>
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<li>Introduction to Language Models</li>
<li>Chatbots and Virtual Assistants</li>
<li>NLP in Translation, Search, and Customer Support</li>
<li>Responsible Use of NLP Systems</li>
</ul>
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<div style=”font-weight: bold; color: #3182ce; margin-bottom: 10px; font-size: 18px;”>Module 5: Applications and Next Steps</div>
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<li>NLP in Business, Healthcare, Education, and Research</li>
<li>Career and Learning Pathways in NLP</li>
<li>Introduction to Advanced NLP and Generative AI</li>
<li>Mini Learning Activity / Concept-Based Practice</li>
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<div style=”font-size: 20px; font-weight: bold; color: #2c5282; margin-bottom: 15px;”>Tools, Techniques, or Platforms Covered</div>
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<span style=”background: white; padding: 5px 15px; border: 1px solid #cbd5e0; border-radius: 20px; font-size: 13px;”>Natural Language Processing</span>
<span style=”background: white; padding: 5px 15px; border: 1px solid #cbd5e0; border-radius: 20px; font-size: 13px;”>Text Data</span>
<span style=”background: white; padding: 5px 15px; border: 1px solid #cbd5e0; border-radius: 20px; font-size: 13px;”>Tokenization</span>
<span style=”background: white; padding: 5px 15px; border: 1px solid #cbd5e0; border-radius: 20px; font-size: 13px;”>Sentiment Analysis</span>
<span style=”background: white; padding: 5px 15px; border: 1px solid #cbd5e0; border-radius: 20px; font-size: 13px;”>Text Classification</span>
<span style=”background: white; padding: 5px 15px; border: 1px solid #cbd5e0; border-radius: 20px; font-size: 13px;”>Chatbots</span>
<span style=”background: white; padding: 5px 15px; border: 1px solid #cbd5e0; border-radius: 20px; font-size: 13px;”>Basic Python</span>
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<div style=”font-size: 24px; font-weight: bold; color: #2c5282; margin-bottom: 15px;”>Real-World Applications</div>
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<li>Understanding how chatbots and virtual assistants work</li>
<li>Analyzing customer reviews and social media comments</li>
<li>Classifying text in emails, documents, and support tickets</li>
<li>Using NLP for search, translation, and summarization</li>
<li>Preparing for advanced learning in NLP, AI, and generative AI</li>
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<div style=”font-size: 24px; font-weight: bold; color: #2c5282; margin-bottom: 15px;”>Who Should Attend &amp; Prerequisites</div>
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<li>This course is suitable for students, beginners, freshers, and professionals who want to understand how AI works with human language.</li>
<li>It is also useful for learners from computer science, engineering, business, management, communication, linguistics, education, and other fields interested in AI and language technologies.</li>
</ul>
<strong>Prerequisites:</strong> No prior NLP or programming knowledge is required. Basic computer knowledge and interest in AI, language, or data are enough to begin.
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<div style=”font-size: 24px; font-weight: bold; color: #2c5282; margin-bottom: 20px;”>Frequently Asked Questions</div>

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<div style=”font-weight: bold; color: #2d3748;”>1. Is this Basics of Natural Language Processing course free?</div>
<div style=”color: #4a5568; font-size: 15px;”>Yes. This is a free online self-paced course designed for beginners.</div>
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<div style=”font-weight: bold; color: #2d3748;”>2. What will I learn in this NLP course?</div>
<div style=”color: #4a5568; font-size: 15px;”>You will learn the basics of text data, tokenization, sentiment analysis, text classification, chatbots, and language models.</div>
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<div style=”font-weight: bold; color: #2d3748;”>3. Do I need coding knowledge before joining?</div>
<div style=”color: #4a5568; font-size: 15px;”>No. The course focuses on beginner-level NLP concepts and does not require prior coding experience.</div>
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<div style=”font-weight: bold; color: #2d3748;”>4. Who can join this course?</div>
<div style=”color: #4a5568; font-size: 15px;”>Students, beginners, freshers, and professionals from any background interested in AI and language technologies can join.</div>
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<div style=”font-weight: bold; color: #2d3748;”>5. Will I receive a certificate?</div>
<div style=”color: #4a5568; font-size: 15px;”>Yes. Learners receive an e-Certification after completing the course.</div>
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<div style=”font-weight: bold; color: #2d3748;”>6. Is this course suitable for complete beginners?</div>
<div style=”color: #4a5568; font-size: 15px;”>Yes. The course is designed for complete beginners and explains NLP concepts in simple language using real-world examples.</div>
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<div style=”font-weight: bold; color: #2d3748;”>7. What is the duration of this course?</div>
<div style=”color: #4a5568; font-size: 15px;”>The Basics of Natural Language Processing course is designed as a 2–3 week online self-paced course.</div>
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<div style=”font-weight: bold; color: #2d3748;”>8. Does this course cover chatbots?</div>
<div style=”color: #4a5568; font-size: 15px;”>Yes. The course introduces chatbots and virtual assistants as important real-world applications of natural language processing.</div>
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<div style=”font-weight: bold; color: #2d3748;”>9. Is this course useful before learning generative AI?</div>
<div style=”color: #4a5568; font-size: 15px;”>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.</div>
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<div style=”font-weight: bold; color: #2d3748;”>10. What makes this NLP course beginner-friendly?</div>
<div style=”color: #4a5568; font-size: 15px;”>The course explains text data, tokenization, sentiment analysis, chatbots, and language models using simple examples without requiring prior NLP, programming, or advanced mathematics knowledge.</div>
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<div style=”margin-bottom: 30px; font-size: 15px; color: #2d3748;”>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.</div>

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