Word2Vec Courses and Certifications

Yannic Kilcher

Word2Vec- Distributed Representations of Words and Phrases and Their Compositionality

Explore Word2Vec, a groundbreaking technique for creating word vectors. Learn about distributed representations, skip-gram model, negative sampling, and subsampling methods to improve vector quality and training efficiency.

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

UofU Data Science

Word Embeddings - Word2Vec Skip-Gram

Dive into word2vec skip-gram architecture to transform words into meaningful vector representations for natural language processing and machine learning applications.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Video

Packt

Advanced Semantic Processing

Master advanced semantic processing techniques for NLP, from fundamental concepts to distributional semantics, LSA, and Word2vec. Apply these skills to real-world scenarios and enhance your data analysis capabilities.

• Coursera
• 5 hours 42 minutes
• On-Demand
• Paid Course

Neural Breakdown with AVB

Natural Language Processing Evolution: From Word2Vec and RNNs to GPT - 50 Key Concepts

Explore the evolution of Natural Language Processing through 50 key concepts, from fundamental Word2Vec and RNNs to modern transformer architectures and GPT models, with clear technical explanations.

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

OWASP Foundation

How NLP Can Help Us Understand Web Attackers - Applying Word2Vec to Web Application Security

Explore how NLP techniques like Word2Vec can be applied to web security, enabling better understanding of attack patterns, tool modeling, and enhanced threat detection.

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

Natural Language Processing (NLP) Mastery in Python

1101 ratings at Udemy

Text Cleaning, Spacy, NLTK, Scikit-Learn, Deep Learning, word2vec, GloVe, LSTM for Sentiment, Emotion, Spam, CV Parsing

• Udemy
• 1 day 14 hours 24 minutes
• On-Demand
• Paid Course

Deep Learning for Natural Language Processing

375 ratings at Udemy

Master natural language processing fundamentals through word embeddings, sequence models, and transformer architectures like BERT and GPT, with hands-on applications in sentiment analysis and machine translation.

• Udemy
• 11 hours 12 minutes
• On-Demand
• Paid Course

Artificial Intelligence III - Deep Learning in Java

255 ratings at Udemy

Deep Learning Fundamentals, Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) + LSTM, GRUs

• Udemy
• 8 hours 7 minutes
• On-Demand
• Paid Course

Gen AI Foundational Models for NLP & Language Understanding

183 ratings at Coursera

Learn to implement, train, and evaluate generative AI models for NLP using PyTorch. Covers document classification, language modeling, translation, and building language models. Includes hands-on labs for practical application.

• Coursera
• 9 hours 57 minutes
• On-Demand
• Paid Course

NLP in Engineering: Concepts & Real-World Applications

Master practical NLP techniques and their engineering applications through word embeddings, neural networks, and deep learning models. Implement advanced methods for real-world problem-solving in natural language processing.

• Coursera
• 13 hours 28 minutes
• On-Demand
• Paid Course

Mastering Generative AI: Model Foundations and NLP

Gain job-ready skills in generative AI and NLP that employers need. Enhance your resume with in-demand expertise that will help you stand out as an AI engineer, AI developer, or data scientist.

• edX
• 2 weeks, 2-3 hours a week
• On-Demand
• Free Online Course (Audit)

Advanced NLP with Python for Machine Learning

567 ratings at LinkedIn Learning

Build upon your foundational knowledge of natural language processing (NLP) by exploring more complex topics such as word2vec, doc2vec, and recurrent neural networks.

• LinkedIn Learning
• 2 hours 10 minutes
• On-Demand
• Free Trial Available

【TensorFlow・Kerasで学ぶ】時系列データ処理入門（RNN/LSTM, Word2Vec)

946 ratings at Udemy

TensorFlow, KerasとPython3を使って、自然言語処理や時系列データ処理を学びましょう。日本語＋動画で学べる唯一の講座（2017年8月現在）です。RNN/LSTMは、機械翻訳、自動字幕表示、株価予測などに使用されています。

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

Microcredential

Advance Your Skills in Natural Language Processing

Unlock the potential of natural language processing (NLP) with this comprehensive learning path. Gain hands-on experience with spaCy for rule-based AI, work with recurrent neural networks (RNNs) using TensorFlow, and build applications with transformers.…

• LinkedIn Learning
• On-Demand
• Free Trial Available
• 6 courses

Understanding Embeddings for Natural Language Processing

Discover how numerical representations transform language through text embeddings, tokenization, historical models, and modern NLP techniques with practical applications.

• openHPI
• 2 weeks
• On-Demand
• Free Online Course