Word Embeddings Courses and Certifications

Generative AI Part 2

Explore advanced generative AI concepts including transformers, VAEs, GANs, diffusion models, and normalizing flows, with emphasis on mathematical foundations and real-world applications.

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

Whizlabs

NVIDIA: Fundamentals of NLP and Transformers

Master NLP fundamentals and transformer architectures through hands-on practice with tokenization, word embeddings, sequence models, and self-attention mechanisms for real-world applications.

• Coursera
• 4 hours 25 minutes
• Self-Paced
• 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
• Self-Paced
• Paid Course

Alberta Machine Intelligence Institute

Introduction to Generative AI: Concepts and Techniques

Discover Generative AI fundamentals, from Transformer architecture to practical LLM implementation, while mastering responsible AI practices and ethical considerations.

• Coursera
• 17 hours 6 minutes
• Self-Paced
• Paid Course

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 Career Certificate

Applied NLP and Generative AI

Master practical NLP and Generative AI skills using Python, from text preprocessing to transformer fine-tuning and deploying real-world applications like chatbots.

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

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

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

Coursera

Building Vision and NLP Workflows with TensorFlow pipelines

Master building Vision and NLP pipelines using TensorFlow, Keras, and transformers—covering tokenization, embeddings, model evaluation, and deployment for real-world AI applications.

• Coursera
• 8 hours 56 minutes
• Self-Paced
• Paid Course

Stanford CS224U - Natural Language Understanding - Spring 2021

Explore advanced NLP techniques including transformers, BERT, sentiment analysis, and grounded language understanding through Stanford's project-oriented graduate curriculum.

• YouTube
• 13 hours 18 minutes
• Self-Paced
• Free Video

3Blue1Brown

Visual Introduction to Transformers and GPTs - Deep Learning Chapter 5

Visual introduction to transformers and GPTs, covering key concepts like word embeddings, deep learning premise, and softmax. Explores the inner workings of these models with clear animations and explanations.

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

Deep Learning for Natural Language Processing

377 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
• Self-Paced
• Paid Course

IBM;  Amazon Career Certificate

Natural Language Processing

309 ratings at Udacity

Master advanced NLP techniques, from text cleaning to machine translation. Build models for sentiment analysis, speech recognition, and more using deep learning and neural networks.

• Udacity
• 53 hours
• Self-Paced
• Paid Course

Natural Language Processing Bootcamp in Python

261 ratings at Udemy

Learn the fundamentals of Text Mining and NLP using Text Processing, NLTK, Sentiment Analysis and Neural Networks

• Udemy
• 18 hours 7 minutes
• Self-Paced
• Paid Course

Master Vector Databases

208 ratings at Udemy

Master Vector Database using Python, Embeddings, Pinecone, ChromaDB, Facebook FAISS, Qdrant, LangChain, Open AI

• Udemy
• 7 hours 17 minutes
• Self-Paced
• Paid Course