Natural Language Processing (NLP) Courses and Certifications

Natural Language Processing in TensorFlow

6536 ratings at Coursera

Learn to process text, tokenize sentences, and apply RNNs, GRUs, and LSTMs in TensorFlow for natural language processing tasks, including sentiment analysis and poetry generation.

• Coursera
• 23 hours 7 minutes
• Self-Paced
• Paid Course

NLP in Python - Natural Language Processing

NLP is a field concerned with the ability of a computer to understand, analyze, manipulate and potentially generate human language. In this course we study about NLP and use the NLP toolkit or NLTK in Python.

• YouTube
• 3 hours 30 minutes
• Self-Paced
• Free Video

Natural Language Processing with Classification and Vector Spaces

4638 ratings at Coursera

This is the Course 1 of the Natural Language Processing Specialization, offered by deeplearning.ai

• Coursera
• 1 day 9 hours 23 minutes
• Self-Paced
• Paid Course

Career Certificate

Natural Language Processing

6192 ratings at Coursera

Explore cutting-edge NLP techniques to analyze text, build language models, and create AI applications. Gain hands-on experience in sentiment analysis, machine translation, and chatbot development.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Computational Social Science Capstone Project

34 ratings

Integrative lab applying computational social science skills: web scraping, network analysis, NLP, and agent-based modeling to analyze social media data and simulate idea diffusion.

• Coursera
• 13 hours 38 minutes
• Self-Paced
• Paid Course

Natural Language Processing with Probabilistic Models

1783 ratings at Coursera

This is the Course 2 of the Natural Language Processing Specialization, offered by deeplearning.ai

• Coursera
• 1 day 6 hours 25 minutes
• Self-Paced
• Paid Course

Natural Language Processing with Sequence Models

1182 ratings at Coursera

Train neural networks for sentiment analysis, text generation, named entity recognition, and question comparison using advanced NLP techniques like GLoVe embeddings, GRUs, LSTMs, and Siamese models.

• Coursera
• 21 hours 6 minutes
• Self-Paced
• Paid Course

Natural Language Processing with Attention Models

1093 ratings at Coursera

Learn advanced NLP techniques including attention models, Transformers, and transfer learning to build applications for translation, summarization, question-answering, and chatbots.

• Coursera
• 1 day 2 hours 20 minutes
• Self-Paced
• Paid Course

Natural Language Processing (NLP) in Python

Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Natural Language Processing and Capstone Assignment

50 ratings at Coursera

Explore natural language processing, sentiment analysis, topic modeling, and emerging trends in data science. Apply learned techniques to develop a comprehensive data analytics plan.

• Coursera
• 4 hours 56 minutes
• Self-Paced
• Paid Course

Elvis Saravia

Prompt Engineering Overview

46 ratings

Comprehensive overview of prompt engineering techniques, from basics to advanced, with tools, applications, and future directions. Includes resources for further learning and practice.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Natural Language Processing on Google Cloud

540 ratings at Coursera

Explore NLP on Google Cloud: from APIs to advanced models. Learn AutoML, custom training, and end-to-end workflows using Vertex AI and TensorFlow. Covers text representation, neural networks, and state-of-the-art techniques.

• Coursera
• 8 hours 55 minutes
• Self-Paced
• Paid Course

Davidson College;  Galileo University

AI Technology for Marketing Optimization

49 ratings

Unlock the potential of AI in marketing by mastering advanced techniques such as predictive analytics, real-time optimization, NLP, email personalization, and social media strategy for impactful marketing.

• edX
• 3 weeks, 3-5 hours/week
• Self-Paced
• Free Online Course (Audit)

Data Science: Natural Language Processing (NLP) in Python

12911 ratings at Udemy

Applications: decrypting ciphers, spam detection, sentiment analysis, article spinners, and latent semantic analysis.

• Udemy
• 11 hours 56 minutes
• Self-Paced
• Paid Course

Natural Language Processing with Deep Learning in Python

8584 ratings at Udemy

Complete guide on deriving and implementing word2vec, GloVe, word embeddings, and sentiment analysis with recursive nets

• Udemy
• 12 hours 3 minutes
• Self-Paced
• Paid Course