Natural Language Processing with Python: From Text Vectors to Agentic AI

Language is the core of human communication, and teaching computers to understand it is one of the most exciting frontiers in technology. This course provides a clear, step-by-step introduction to Natural Language Processing (NLP) using Python, guiding you from raw text to intelligent systems. You will transition from analyzing simple text files to building functional machine learning models that can classify sentiment, generate text, and retrieve information. Through clear written explanations and structured code examples, you will gain the practical skills needed to work with modern language technologies and understand the mechanics behind today's generative AI. What you'll learn: - Understand foundational text preprocessing techniques including tokenization, stemming, lemmatization, and parts-of-speech tagging. - Convert unstructured text into numerical data using vector models like TF-IDF, Word2Vec, and GloVe. - Apply probability-based Markov models for text classification, article spinning, and basic text generation. - Build machine learning classifiers to automatically categorize documents and analyze sentiment. - Explore the fundamental concepts behind modern Transformer models, prompt engineering, and Retrieval-Augmented Generation (RAG). - Practice implementing NLP workflows in Python using industry-standard libraries like NLTK. The journey begins with core terminology, text cleaning, and basic linguistic concepts before moving into mathematical vector representations. From there, you will progress to probabilistic modeling and finish by exploring how these foundational methods power modern agentic AI and large language models. This text-based course is designed for beginners, software developers, and aspiring data scientists who want to understand NLP from the ground up. No prior background in machine learning is required, though a basic familiarity with Python programming is helpful. Start reading today to unlock the potential of natural language processing and build your first text-driven AI applications.