Course description

Dive deep into the world of NLP with this hands-on course designed to teach you how machines understand, interpret, and generate human language. You'll gain proficiency in text analysis, working with libraries such as NLTK, spaCy, and Transformers, and applying NLP techniques to various practical use cases.

What will i learn?

  • Understand the fundamentals of NLP and text processing
  • Learn how to implement tokenization, text cleaning, and vectorization
  • Build models for text classification, sentiment analysis, and named entity recognition (NER)
  • Explore language models using BERT, GPT, and Transformers
  • Gain hands-on experience with popular NLP libraries like NLTK and spaCy
  • Implement real-world NLP projects such as chatbots and recommender systems

Requirements

  • Basic understanding of Python programming
  • Familiarity with machine learning concepts is helpful but not required
  • Interest in text analysis and language understanding

Frequently asked question

NLP is a branch of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language.

Yes, basic knowledge of Python is required, as the course involves coding and working with NLP libraries.

You will build applications such as chatbots, text sentiment classifiers, and language models for various domains like healthcare and finance.

Absolutely! NLP has numerous applications in industries like customer service, marketing, and data analysis, and you will learn how to apply these techniques to your own projects.

You will primarily work with Python, and tools like NLTK, spaCy, Transformers, and Hugging Face libraries.

This course is open to everyone. People from many departments like Computer Science, IT, Electronics, and even non-technical areas have taken it and found it helpful.

Yes, it is! This course is great for freshers and students who want to learn the basics and grow their skills for future jobs.

Yes, this course is a good fit for professionals who want to improve their skills or switch to a new field.

Yes, people with a career gap can take this course. It helps them update their knowledge and return to work confidently.

Yes, internships are optional but are available for top performers. It’s a great extra option for learning and gaining real-world experience.

Free

Lectures

0

Skill level

Advanced

Expiry period

Lifetime

Certificate

Yes

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