Text Classification Courses and Certifications

Packt

Building AI Agents – Fundamentals to Advanced

Master AI agent development from fundamentals to advanced applications, building autonomous systems for email management, scheduling, and automation using N8N integration.

• Coursera
• 5 hours 39 minutes
• Self-Paced
• Paid Course

H2O.ai

H2O Label Genie Starter Track

Master H2O Label Genie to accelerate data labeling workflows with AI-powered annotation tools for text, image, and audio data, reducing manual effort by over 50%.

• Coursera
• 1 hour 9 minutes
• Self-Paced
• Paid Course

Credential

Text Analytics with Python

Explore text analytics and NLP using Python, covering core techniques, machine learning pipelines, and ethical considerations while working with real-world case studies and popular libraries.

• edX
• 12 weeks, 3-6 hours/week
• Self-Paced
• $618.00
• 2 courses

Packt Credential

Modern Natural Language Processing

Master neural networks, probability models, and Transformers for text classification, NER, POS tagging, and advanced NLP applications using TensorFlow and Python.

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

Packt

Natural Language Processing - Deep Learning Models in Python

Master deep learning models for NLP with Python, implementing neural networks, CNNs, and RNNs for text classification, embeddings, and sequential data processing using TensorFlow.

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

Packt

Deep Learning: Convolutional Neural Networks with TensorFlow

Unlock the potential of deep learning by mastering Convolutional Neural Networks and Transfer Learning with hands-on TensorFlow and Keras experience for image and text classification.

• Coursera
• 5 hours 14 minutes
• Self-Paced
• Paid Course

Packt

NLP – Machine Learning Models in Python

Master natural language processing with Python through practical applications in spam detection, sentiment analysis, text summarization, and topic modeling using algorithms like Naive Bayes, logistic regression, TextRank, and LDA.

• Coursera
• 8 hours 40 minutes
• Self-Paced
• Paid Course

Classify Text into Categories with the Natural Language API

This is a self-paced lab that takes place in the Google Cloud console. In this lab you’ll learn how to classify text into categories using the Natural Language API.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Coursera

Create Chatbots & NLP Apps

Master chatbot development with RAG systems, dialog optimization, named entity recognition, and text vectorization techniques for intelligent customer interactions.

• Coursera
• 3 hours 40 minutes
• Self-Paced
• Paid Course

EDUCBA

Build Intelligent iOS Apps with Core ML 3: Learn & Apply AI

Master Core ML 3 to build intelligent iOS apps with real-time image and text classification, camera integration, and seamless AI-powered user experiences.

• Coursera
• 7 hours 33 minutes
• Self-Paced
• Paid Course

Coursera

Build & Evaluate NLP Transformer Pipelines

Master transformer-based NLP pipelines from tokenization to deployment, implementing ROUGE metrics and human-in-the-loop evaluation for production-ready sentiment analysis and content categorization solutions.

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

Edureka

AutoML: Build ML Models without Code

Master Google Vertex AI's AutoML platform to build, deploy, and monitor ML models for structured data, images, and text without coding through hands-on cloud demonstrations.

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

Board Infinity

Transformers and NLP: Fine-Tuning Models with Hugging Face

Master transformer architectures, fine-tune BERT, GPT, and T5 models with Hugging Face, build reproducible ML pipelines, and deploy production-ready NLP APIs using FastAPI and CI/CD practices.

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

From 0 to 1: Machine Learning, NLP & Python-Cut to the Chase

904 ratings at Udemy

A down-to-earth, shy but confident take on machine learning techniques that you can put to work today

• Udemy
• 19 hours 50 minutes
• Self-Paced
• Paid Course

CIMPA UCR

Analysis of Emotions in Textual Documents

Explore emotion analysis in text using psychological models, supervised/unsupervised methods, and symbolic data analysis for automatic lexicon extraction and classification.

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