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Dive into the transformative world of Natural Language Processing (NLP) with this comprehensive course designed to equip you with modern skills and tools. From foundational principles to advanced techniques, you鈥檒l develop a thorough understanding of NLP, including pre-trained models, vector databases, and prompt engineering. The course begins with essential system setups and an introduction to NLP, where you'll explore concepts like word embeddings, sentiment analysis, and transformers. Progressing further, you'll learn to leverage powerful tools like Huggingface for pre-trained models, experiment with various applications such as text summarization, translation, and question answering, and build skills in model finetuning with hands-on coding exercises. Next, you鈥檒l delve into vector databases and data augmentation, uncovering techniques for managing and enhancing large datasets. Advanced topics such as retrieval-augmented generation (RAG), open-source LLMs, and sophisticated prompt engineering will prepare you for cutting-edge AI applications. Finally, you鈥檒l apply your knowledge to a capstone project, creating a climate change chatbot using state-of-the-art methods. This course is ideal for intermediate learners with a basic understanding of Python and machine learning. Whether you鈥檙e an AI enthusiast, a data scientist, or a professional looking to enhance your NLP expertise, this course will take your skills to the next level.