How to Develop Chatbots. 6 Free Courses on Natural Language Processing

Natural Language Processing is one of the most in-demand skills for professionals working with artificial intelligence and machine learning. This overview includes free courses for those who want to learn how to develop and configure chatbots based on NLP.

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Introduction to Natural Language Processing in Python by DataCamp

The course provides the fundamentals of working with text, including analysis, vectorization, and machine learning methods for NLP. It is a great starting point for practicing the creation of text-based applications. Suitable for beginners in NLP and Python.

Duration: 4 hours

UCx: Text Analytics 1: Introduction to Natural Language Processing by University of Canterbury

The course introduces basic methods of natural language processing and computational linguistics. It offers a practical and scientific introduction to natural language processing over six weeks. You will learn to use Python packages such as pandas, scikit-learn, and TensorFlow. Suitable for both experienced and new professionals.

Duration: 6 weeks

UCx: Text Analytics 2: Visualizing Natural Language Processing by University of Canterbury

The course provides a practical and scientific introduction to text analytics, continuing the exploration of how to give meaning to results through real-world visualizations. You will learn to visualize and interpret text analytics results, create various visualizations, work with real examples using Jupyter notebooks, and understand what it means to comprehend language through computation, including how word embeddings and topic models relate to human cognition. Suitable for both experienced and new professionals.

Duration: 6 weeks

Sequence Models by DeepLearning.AI

The course focuses on sequence models, which form the basis for working with text in NLP. It includes 37 hours of study on RNNs, LSTMs, and GRUs—key methods for building language models and chatbots. Designed for those already familiar with machine learning and Python.

Duration: 5 weeks

Natural Language Processing with Classification and Vector Spaces by DeepLearning.AI

The course covers the fundamental principles of NLP, such as text classification and vector space representation, spanning 33 hours. It examines classification methods commonly used in building chatbots. Suitable for beginners who are familiar with the basics of Python and machine learning.

Duration: 5 weeks

Natural Language Processing: Foundations by National University of Singapore

The course helps you expand your NLP skills through two assignments: creating your own text classification application and a generative text sentence system. Upon completion, you will have a solid understanding of how to work with written language. Suitable for both beginners and experienced programmers.

Duration: 4 weeks