This complete “NLP Zero to Hero” course guides learners from the fundamentals of Natural Language Processing to advanced applications. The course begins with tokenization, teaching how text is broken down into meaningful units that machines can understand. Next, sequencing explains how sentences are transformed into structured data for analysis. Students then learn how to train models for sentiment analysis, enabling AI to recognize emotions in text. The curriculum progresses to machine learning with Recurrent Neural Networks (RNNs), showing how models can retain sequential context and understand dependencies over time. Long Short-Term Memory (LSTM) networks are introduced to handle long-term dependencies in text, crucial for more complex NLP tasks. Finally, the course explores creative AI applications, such as training models to generate poetry, demonstrating how NLP can go beyond analysis to creation. Through hands-on examples and practical Python implementations, learners develop a strong understanding of modern NLP pipelines, preparing them for real-world projects in AI, machine learning, and natural language understanding. This course is perfect for beginners and aspiring AI developers aiming to master NLP from scratch.