Text Classification Courses and Certifications

Generative AI Language Modeling with Transformers

140 ratings at Coursera

Learn to apply transformer-based models for NLP tasks, covering encoder-decoder architectures, attention mechanisms, and implementations of BERT and GPT models using PyTorch for text classification and translation.

• Coursera
• 9 hours 18 minutes
• On-Demand
• Paid Course

Transformer Models and BERT Model

125 ratings at Coursera

Explore Transformer architecture and BERT model, learning key components like self-attention and applications in text classification, question answering, and natural language inference.

• Coursera
• 51 minutes
• On-Demand
• Paid Course

Microsoft Applied Skills: Azure AI Language

113 ratings at Udemy

APL-3003. Use portal, Python and C#. Extract information, classify text, ask questions, summarize text-Azure AI Language

• Udemy
• 3 hours 21 minutes
• On-Demand
• Paid Course

Natural Language Preprocessing Using spaCy

88 ratings at Udemy

Discover step-by-step Natural Language Processing (NLP) in Python using spaCy! Explore practical NLP project

• Udemy
• 6 hours 5 minutes
• On-Demand
• Paid Course

Machine Learning on Google Cloud: Sequence and Text Models

47 ratings at Udemy

Advanced Machine Learning on Google Cloud: Sequence Models & NLP (Natural Language Processing) on Google Cloud

• Udemy
• 3 hours 29 minutes
• On-Demand
• Paid Course

Python for Natural Language Processing (NLP)

44 ratings at Udemy

Learn Natural Language Processing (NLP) and its Python Implementation. Build NLP models.

• Udemy
• 3 hours
• On-Demand
• Paid Course

Text Mining & NLP

37 ratings at Udemy

Master text mining and NLP techniques including Named Entity Recognition, sentiment analysis, TF-IDF, word embeddings, and text classification to extract valuable insights from unstructured data.

• Udemy
• 16 hours 19 minutes
• On-Demand
• Paid Course

Edureka

Machine Learning and NLP Basics

33 ratings at Coursera

Comprehensive exploration of machine learning, deep learning, and NLP fundamentals. Covers core concepts, algorithms, and practical applications, equipping learners with essential skills for AI and data science.

• Coursera
• 19 hours 31 minutes
• On-Demand
• Paid Course

EDUCBA

Python Case Study - Sentiment Analysis

17 ratings at Coursera

Master sentiment analysis by building a complete Python-based text classification system using NLP techniques, machine learning algorithms, and evaluation metrics.

• Coursera
• 3 hours 13 minutes
• On-Demand
• Paid Course

Packt Microcredential

Deep Learning: Recurrent Neural Networks with Python

5 ratings at Coursera

Master RNNs, GRUs, and LSTMs for deep learning tasks. Build and implement neural networks using TensorFlow, culminating in projects like automatic book writing and stock price prediction.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course

Applied Natural Language Processing in Engineering Part 1

Discover NLP fundamentals from text classification to neural networks, optimization techniques, word embeddings, and parsing methods for engineering applications.

• Coursera
• 1 day 3 hours 45 minutes
• On-Demand
• Paid Course

Coursera

Generative AI with Vertex AI: Build a customer chatbot

Learn to build a customer support chatbot using Vertex AI, including text summarization and classification, through hands-on projects in Google Cloud console and Colab.

• Coursera
• 2 hours 50 minutes
• On-Demand
• Paid Course

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
• On-Demand
• 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
• On-Demand
• Paid Course

Microcredential

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 a week
• On-Demand
• $618.00
• 2 courses