Learn NLP
29 expert-rated courses covering NLP. Compared by rating, price, difficulty, and job relevance so you can pick the right one.
NLP skills are in high demand across industries like healthcare, finance, e-commerce, and media. Professionals with NLP expertise can command a 20-30% salary premium over their peers. The global NLP market is expected to grow at a CAGR of 24% from 2022 to 2026, driven by the increasing use of AI-powered language models.
Key Facts About NLP
- 1NLP leverages machine learning models like transformers, RNNs, and CNNs to process and generate human language.
- 2Key NLP tasks include text classification, named entity recognition, sentiment analysis, language translation, and text generation.
- 3Leading NLP platforms and tools include spaCy, NLTK, Hugging Face Transformers, and Google's BERT and T5 models.
- 4Major industry applications of NLP include chatbots, content moderation, document summarization, and voice assistants.
- 5NLP is a rapidly evolving field, with advancements in few-shot learning, multimodal language models, and unsupervised pretraining.
Available on
Top NLP Courses
Develop NLP Solutions with Azure AI Services
Build natural language processing solutions with Azure AI Language. Cover text analysis, translation, question answering, and conversational AI.
Deep Learning Specialization
Five-course specialization on deep learning architectures including CNNs, RNNs, and transformers, with practical projects in TensorFlow.
The AI Engineer Course 2026: Complete AI Engineer Bootcamp
Comprehensive bootcamp covering AI fundamentals, Python, NLP, LLMs, LangChain, vector databases, and speech recognition.
Intro to Artificial Intelligence
Intermediate course covering AI foundations including machine learning, computer vision, NLP, and probabilistic reasoning.
Microsoft Certified: Azure AI Engineer Associate (AI-102)
Certification path for designing and implementing Azure AI solutions across NLP, computer vision, content moderation, and generative AI.
PyTorch for Deep Learning Professional Certificate
Hands-on professional certificate for building, optimizing, and deploying modern PyTorch deep learning systems.
Practical Deep Learning for Coders (2022)
Free practical deep learning course covering real-world applications, deployment, and foundational model building using PyTorch and fastai.
Practical Deep Learning for Coders (2018 Edition)
Free 7-week practical deep learning program with lesson-based progression across CV, NLP, and recommendation systems.
LLM Course
Comprehensive free course on NLP and LLMs using Transformers, Datasets, Tokenizers, Accelerate, and the Hugging Face Hub.
Transformer-Based NLP Applications
Build transformer-based NLP applications including text classification, named entity recognition, and question answering.
Computer Science Bachelor's - Artificial Intelligence Concentration
Online bachelor completion pathway with AI concentration covering machine learning, deep learning, NLP, computer vision, and human-AI interaction.
Advanced Natural Language Processing Regression 2024
In NLP, regression involves transforming text into coordinates, and then identifying the distribution of these coordinates. It's about converting textual data ...
Twitter sentiment analysis & Natural language processing (NLP) for ...
In this course will be fetching real-time tweets from Twitter and predicting sentiment of tweets using natural language processing and Python machine learning ...
Hugging Face Course for Beginners
Hugging Face is a company and open-source community that focuses on natural language processing (NLP) and artificial intelligence (AI). ... Python, AI ...
AI for Beginners: Learn Tools, Prompts & Use Cases
Build a basic Sentiment Analyzer using Python and scikit-learn. - Create a sample training dataset by collecting man sample product review comments and labeling ...
The Ultimate ChatGPT Class for Beginners 2023
Nlp is the tech that allows an AI model to understand, interpret, and generate human language in a way that's natural and easy for us to comprehend. Nlp is the ...
MLU: Accelerated Natural Language Processing
Accelerated NLP class with slides, notebooks, datasets, and a final project.
Generative AI and Large Language Models
Comprehensive introduction to generative AI technologies and large language models, covering architecture, training, and deployment. Learn to build and deploy LLM applications at scale.
Fundamentals Of Natural Language Processing
Learn the core concepts and techniques of natural language processing. Cover tokenization, text preprocessing, word embeddings, and fundamental NLP algorithms. Build understanding of how machines process and understand human language.
Create Chatbots and NLP Apps
Build intelligent chatbots and NLP applications from scratch. Learn chatbot architecture, dialogue systems, intent recognition, and entity extraction. Apply NLP techniques to create conversational AI that understands and responds to user input.
+ 9 more courses available
Pro Tips for Learning NLP
- #1Start with the fundamentals of natural language processing, including tokenization, lemmatization, and part-of-speech tagging.
- #2Build practical projects like chatbots, text summarizers, and sentiment analysis tools to reinforce your learning.
- #3Stay up-to-date with the latest advancements in transformer models, few-shot learning, and multimodal language understanding.
Why Learn NLP?
- Gain a competitive advantage in the job market by mastering an in-demand, future-proof AI skill.
- Develop the ability to create intelligent language-based applications that can automate and optimize a wide range of business processes.
- Contribute to the development of transformative AI technologies that will shape the future of human-machine interaction.