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Learn Natural Language Processing online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
310 courses
Harvard University
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
Stanford CS25: Transformers United Since their introduction in 2017, transformers have revolutionized Natural Language Processing (NLP). Now, transformers are finding applications all over Deep Learning, be it computer vision (CV), reinforcement learning (RL), Generative Adversarial Networks (GANs)…
Harvard University
Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. Before you know it, you’ll be implementing an entire TinyML application.
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai
Natural language processing (NLP) is a crucial part of artificial intelligence (AI), modeling how people share information. In recent years, deep learning approaches have obtained very high performance on many NLP tasks. In this course, students gain a thorough introduction to cutting-edge neural n…
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai
Language models serve as the cornerstone of modern natural language processing (NLP) applications and open up a new paradigm of having a single general purpose system address a range of downstream tasks. As the field of artificial intelligence (AI), machine learning (ML), and NLP continues to grow,…
Harvard University
Learn to process and convert raw data into formats needed for analysis.
MIT OpenCourseWare
This course is a graduate introduction to natural language processing - the study of human language from a computational perspective. It covers syntactic, semantic and discourse processing models, emphasizing machine learning or corpus-based methods and algorithms. It also covers applications of th…
Natural language processing (NLP) or computational linguistics is one of the most important technologies of the information age. Applications of NLP are everywhere because people communicate almost everything in language: web search, advertising, emails, customer service, language translation, virt…
IIT Kharagpur
Computer Science and Engineering course by Prof. Pawan Goyal.
DeepLearning.AI
In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. By the end, you will be able to build and t…
MIT OpenCourseWare
This is MIT’s introductory course on deep learning methods with applications to computer vision, natural language processing, biology, and more! Students will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow. Course concl…
DeepLearning.AI
In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications. By taking this course, you'll learn to: - Deeply understand generative AI, describing the key steps in a typical LLM-based generative AI lif…
DeepLearning.AI
LangChain: Chat With Your Data delves into two main topics: (1) Retrieval Augmented Generation (RAG), a common LLM application that retrieves contextual documents from an external dataset, and (2) a guide to building a chatbot that responds to queries based on the content of your documents, rather…
Harvard University
Get the opportunity to see TinyML in practice. You will see examples of TinyML applications, and learn first-hand how to train these models for tiny applications such as keyword spotting, visual wake words, and gesture recognition.
This project-oriented class is focused on developing systems and algorithms for robust machine understanding of human language. It draws on theoretical concepts from linguistics, natural language processing, and machine learning. There will be special lectures on developing projects, presenting res…
Great Learning
This free NLP training course equips you with the foundational skills to understand how machines process, analyze, and interpret human language. You’ll learn NLP fundamentals, common challenges, essential libraries, key terminology, real-world applications, domain-specific use cases, and the workfl…
