Text Classification Courses and Certifications

Open Data Science

Using Generative AI to Better Understand B2B Audiences: From Topic Modeling to Text Classification

Unlock the potential of Generative AI and ML for B2B audience understanding. Explore innovative techniques in topic modeling and text classification using LLMs to enhance marketing strategies and data-driven decision-making.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Shaw Talebi

Fine-Tuning BERT for Text Classification - Python Code Tutorial

Dive into fine-tuning BERT for text classification, focusing on phishing URL detection. Learn key concepts and implement Python code to enhance your natural language processing skills.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Data Science Festival

Using Generative AI to Better Understand B2B Audiences - From Topic Modelling to Text Classification

Explore how Generative AI and LLMs enhance B2B audience understanding through topic modeling and text classification, improving data quality and audience interest analysis.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Career Certificate

Token Classification in NLP using spaCy

A focused path to building spaCy NLP pipelines for token classification, covering linguistic foundations, real-world applications, and classification model fine-tuning.

• CodeSignal
• 7 hours
• Self-Paced
• Free Certificate
• 3 courses

Practical Applications of spaCy for Real-Life Tasks

Apply spaCy to practical NLP problems through case studies in spam detection, review analysis, and legal-document information extraction.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Career Certificate

Introduction to Natural Language Processing

1 rating

Learn to explore and preprocess text, apply TF-IDF vectorization, and build and evaluate machine-learning classifiers in Python.

• CodeSignal
• 10 hours
• Self-Paced
• Free Certificate
• 4 courses

Chatbots

Build and optimize chatbots with Amazon Lex and AWS, then evaluate them with BERT text classifiers in R and TensorFlow using ML performance metrics.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Intro to Natural Language Processing (NLP) in Python for AI

3098 ratings at Udemy

Learn the NLP Technology Behind AI Tools Like ChatGPT: Understanding, Generating, and Classifying Human Language

• Udemy
• 3 hours 41 minutes
• Self-Paced
• Paid Course

Fundamentals of Natural Language Processing

20 ratings at Coursera

Build N-gram language models, logistic regression text classifiers, and word representations: tokenization, smoothing, stochastic gradient descent, TF-IDF, PMI, LSA, and Word2Vec.

• Coursera
• 4 weeks, 6 hours a week
• Self-Paced
• Paid Course

Hands-on Text Mining and Analytics

40 ratings at Coursera

Build text mining applications with the y-TextMiner Java toolkit through labs in text preprocessing, term weighting, document classification, sentiment analysis, and topic modeling.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Coursera

Transfer Learning for NLP with TensorFlow Hub

183 ratings at Coursera

Fine-tune pre-trained text embedding models from TensorFlow Hub, build and compare several text classification models, and visualize performance metrics in TensorBoard.

• Coursera
• 2 hours
• Self-Paced
• Paid Course

Hands On Natural Language Processing (NLP) using Python

1888 ratings at Udemy

Learn Natural Language Processing ( NLP ) & Text Mining by creating text classifier, article summarizer, and many more.

• Udemy
• 10 hours 33 minutes
• Self-Paced
• Paid Course

Generative AI for NLP with PyTorch Capstone Project

Build an end-to-end text classification workflow in PyTorch: tokenization, vocabulary and DataLoaders, RNN versus LSTM training, and fine-tuning pretrained Hugging Face transformers.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Coursera

AI-Powered Jira Automation and Workflow Optimization

Build AI-augmented Jira automations: summarize tickets into release notes, design triage classifiers, measure precision and recall, and add human-in-the-loop checks.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Packt

NLP – Machine Learning Models in Python

Build NLP applications in Python: spam detection with Naive Bayes, sentiment analysis with logistic regression, TextRank summarization, and topic modeling with LDA, NMF, and LSA.

• Coursera
• 7 weeks, 1 hour a week
• Self-Paced
• Paid Course