Word Embeddings Courses and Certifications

Mathematics Behind Large Language Models and Transformers

169 ratings at Udemy

Deep Dive into Transformer Mathematics: From Tokenization to Multi-Head Attention to Masked Language Modeling & Beyond

• Udemy
• 4 hours 34 minutes
• On-Demand
• Paid Course

Understanding and Applying Text Embeddings

56 ratings at Coursera

Explore text embeddings for classification, clustering, and semantic search. Learn to build Q&A systems using Vertex AI, combining embeddings with LLM capabilities for enhanced text analysis and applications.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Embedding Models: From Architecture to Implementation

Explore embedding models' evolution, architecture, and implementation. Learn to build and train dual encoders, understand BERT, and apply models in semantic search and RAG pipelines.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Deep Learning Foundations: Natural Language Processing with TensorFlow

500 ratings at LinkedIn Learning

Learn foundational deep learning techniques to classify, predict, and generate text using different neural networks.

• LinkedIn Learning
• 1 hour 48 minutes
• On-Demand
• Free Trial Available

Introduction to Large Language Models (LLMs)

Dive into the architecture, training, and applications of Large Language Models, from fundamental NLP concepts to advanced topics like RLHF, parameter-efficient tuning, and ethical considerations.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Deep Learning for Natural Language Processing

Master deep learning architectures and their NLP applications, from word embeddings to transformers, covering advanced topics like RLHF, PEFT, and large language models with hands-on tutorials.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Recurrent Neural Networks

143 ratings at LinkedIn Learning

Learn the basics of recurrent neural networks to get up and running with RNN quickly.

• LinkedIn Learning
• 1 hour 7 minutes
• On-Demand
• Free Trial Available

Learn to build basic language models in Python, including bag-of-words, tf-idf, and word embeddings. Develop skills for measuring word similarity and determining document importance.

• Codecademy
• 4 hours
• On-Demand
• Free Trial Available

Natural Language Processing with PyTorch

20 ratings at Pluralsight

This course covers the use of advanced neural network constructs and architectures, such as recurrent neural networks, word embeddings, and bidirectional RNNs, to solve complex word and language modeling problems using PyTorch. 

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Mastering Natural Language Processing (NLP) with Deep Learning

11 ratings at Pluralsight

Dive into text data analysis, preprocessing, word embeddings, sequence models and transformers. This course will teach you how to use the power of NLP with deep learning techniques.

• Pluralsight
• 42 minutes
• On-Demand
• Free Trial Available

Deep Learning with Keras - Python

Explore deep learning concepts and implement models using Keras in Python. Learn about neural networks, CNNs, RNNs, LSTM, and more for practical applications like chatbots.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

Implement Natural Language Processing for Word Embedding

This course will teach you how to use word embeddings to use deep learning for NLP.

• Pluralsight
• 1 hour 34 minutes
• On-Demand
• Free Trial Available

Launchpad

Applied Machine Learning for Startups - Arshak Navruzyan

Applied ML strategies for startups: practitioner training, team structures, guidelines, and cutting-edge techniques in NLP and deep learning.

• YouTube
• 32 minutes
• On-Demand
• Free Video

LiquidBrain Bioinformatics

Word Embedding with Keras - A RStudio Tutorial

Learn word embedding techniques using Keras in RStudio. Covers theory, concepts, and practical implementation, including Keras basics and machine learning fundamentals for natural language processing.

• YouTube
• 42 minutes
• On-Demand
• Free Video

tinyML

Structured Quantization for Neural Network Language Model Compression

探讨神经网络语言模型的结构化量化压缩技术,展示如何在不损失性能的情况下实现70-100倍的高压缩率,适用于资源受限场景。

• YouTube
• 32 minutes
• On-Demand
• Free Video