Natural Language Processing (NLP) Full Course โ€“ Beginner to Advanced [2026] | Learn NLP with Python

edureka! ยท Beginner ยท๐Ÿง  Large Language Models ยท5d ago
๐Ÿ”ฅPost Graduate Program in Generative AI and ML: https://www.edureka.co/executive-programs/pgp-generative-ai-machine-learning-certification-training ๐Ÿ”ฅIntegrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-certification-programs/ms-data-science-pgp-gen-ai-ml-birchwood This Natural Language Processing (NLP) full course is designed to help you build a strong foundation in one of the most important fields of artificial intelligence. Starting from the basics, youโ€™ll learn how machines understand and process human language using core NLP techniques like tokenization, stemming, โ€ฆ
Watch on YouTube โ†— (saves to browser)

Chapters (25)

Introduction
1:42 Natural Language Processing In 10 Minutes
9:24 Python NLTK Explained
1:27:20 NLP & Text Mining Using NLTK
2:04:03 Stemming And Lemmatization
2:13:54 Context Free Grammar Using NLP In Python
2:45:05 Text Classification Explained
2:47:43 What is Supervised Learning?
2:57:20 What is Unsupervised Learning?
3:04:37 Decision Tree Algorithm
3:49:29 Random Forest
4:21:33 Support Vector Machine In Python
4:35:07 What is a Neural Network?
4:42:03 Neural Network in Python
4:58:57 Artificial Neural Networks
5:31:17 Recurrent Neural Networks
6:00:13 Transformers Neural Networks
6:11:49 Transformers Explained Using Generative AI
6:19:27 What is Generative AI?
6:34:42 What is LLM?
6:52:02 Chat GPT Explained In 10 Minutes
7:01:41 Prompt Engineering For Code Generation
7:11:00 What is LangChain?
7:28:14 What is RAG?
7:51:05 Deep Learning Interview Questions and Answers
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Next Up
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)