Free Online Natural Language Processing Courses and Certifications 2025

This Clinical Natural Language Processing course teaches the fundamentals of NLP, including basic linguistic principals, writing regular expressions, and handling text data in R. You will learn practical techniques for text processing to extract information from clinical notes, and apply your skills to a real-world project to identify diabetic complications from clinical notes. This course is hosted by our Industry Partner Google Cloud and is a great way to learn the basics of NLP.

Learn to manipulate and analyze text data with this comprehensive course on Applied Text Mining in Python. Gain an understanding of how text is handled by Python, and explore the NLTK framework for text manipulation. Discover methods for text classification, regular expressions, cleaning text, and topic modelling. Take the next step in your data science journey with this course.

This course will teach you how to integrate Natural Language Processing into your App using Microsoft Cognitive Services Language Understanding Intelligent Service (LUIS API). You will learn how to build custom LUIS models, integrate them into Chatbot, Web App or IOT App, and use features like phrase list and active learning to improve the performance of your AI-powered applications. Enroll now to learn how to add Artificial Intelligence to your App!

This course will teach you how to use sequence models to perform natural language processing tasks such as sentiment analysis, named entity recognition, question-answering, language translation, and text summarization. You will learn how to use GLoVe word embeddings, Gated Recurrent Units (GRUs), Long Short-Term Memory (LSTM) networks, and Siamese LSTM models. This course is taught by two experts in NLP, machine learning, and deep learning. By the end of this Specialization, you will have the skills to design and build NLP applications.

Learn to build, train, and deploy ML pipelines using BERT in the Practical Data Science Specialization. This course will teach you to automate a natural language processing task by building an end-to-end machine learning pipeline using Hugging Face’s highly-optimized implementation of the state-of-the-art BERT algorithm with Amazon SageMaker Pipelines. You will learn to transform datasets into BERT-readable features, fine-tune a text classification model, and evaluate the model’s accuracy. Finally, you will deploy the model if the accuracy exceeds a given threshold. Leverage the agility and elasticity of the cloud to scale up and out at a minimum cost.

Learn how to make sense of text data with Visualizing Natural Language Processing. Join us and explore the power of text analytics.

Discover the power of Natural Language Processing (NLP) and Computational Linguistics with Text Analytics 1: Introduction to Natural Language Processing. Learn how to create automated pipelines for text classification and text similarity using Python packages like pandas, scikit-learn, and tensorflow. Understand the limits of a computational approach to language and the ethical guidelines for applying it to real-world problems. Explore topics like text processing, text mining, sentiment analysis, and topic modeling.

Discover the power of Natural Language Processing (NLP) with this four-week course. Learn how to work with text and explore traditional and modern approaches using deep learning. With over 30 years of experience, the instructor team will guide you through two assignments to create your own text classification application and a generative, text suggestion system. Join now and unlock the potential of NLP!

This course provides an introduction to AlphaCode, a new AI code generation technology. It covers the basics of competitive programming, how AlphaCode works, pretraining, sampling, ensemble, demo, graph, paper, copying, and examples. It is designed to help students gain a better understanding of AI code generation and online learning, as well as develop their skills in coding.

This course will teach you how to create useful chatbots without the need to write any code. You'll learn how to plan, implement, test, and deploy chatbots with IBM Watson's Natural Language Processing capabilities. No coding is required, and you'll be provided with a website to deploy your chatbot. Get ahead of the curve and learn this highly in demand skill set today!

Learn Natural Language Processing with Classification and Vector Spaces from Stanford and Google experts. In this Specialization, you will perform sentiment analysis, discover relationships between words, write a translation algorithm, and build a chatbot. Master the skills to design NLP applications and take your career to the next level.

This course teaches you how to use Python for Natural Language Processing (NLP) and Machine Learning Essential Training. Learn how to find free, public data sources on a wide range of business, education, and health issues, and how to download the data for your own analysis. It introduces a number of US government resources, ranging from the US Census Bureau to the US Patent and Trademark Office, and surveys datasets from international organisations such as the World Bank and the United Nations. It also goes over data search engines, web services, and even language resources like Google Books' Ngram Viewer. After completing this course, you will be better equipped to locate the information you require for your scholarship and data analysis efforts.

This course provides an introduction to Natural Language Processing (NLP) with BERT. Learn how to put the BERT model into action, analyze sentiment, and use Google Colab to code in Python. Gain the skills to apply NLP to real-world problems and become an expert in the field.

Learn Natural Language Processing with Probabilistic Models from Stanford and Google Brain experts. In this Specialization, you will create auto-correct algorithms, apply the Viterbi Algorithm for part-of-speech tagging, write an N-gram language model, and build a Word2Vec model. Design NLP applications and build a chatbot!

This online course covers a wide range of Natural Language Processing (NLP) tasks from basic to advanced, such as sentiment analysis, summarization, and dialogue state tracking. You will learn to recognize NLP tasks, propose approaches, and judge which techniques are likely to work best. The final project is to build a conversational chat-bot to assist with search on StackOverflow. You will gain hands-on experience with text classification, named entities recognition, and duplicates detection. The course also covers traditional and deep learning techniques in NLP, and provides an in-depth understanding of what's happening inside. Technical support is available via email.

This course introduces the products and solutions to solve Natural Language Processing (NLP) problems on Google Cloud. It explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow. Participants will learn to recognize the NLP products and the solutions on Google Cloud, create an end-to-end NLP workflow by using AutoML with Vertex AI, build different NLP models including DNN, RNN, LSTM, and GRU by using TensorFlow, recognize advanced NLP models such as encoder-decoder, attention mechanism, transformers, and BERT, understand transfer learning and apply pre-trained models to solve NLP problems. Basic SQL, familiarity with Python and TensorFlow are the prerequisites for this course.