Text Embedding Courses and Certifications

Coursera

Product Recommender System: OpenAI Text Embedding

Develop a text-based product recommendation system using OpenAI's embedding models. Analyze viewed products to suggest relevant items, enhancing user experience and boosting customer satisfaction on an e-commerce platform.

• Coursera
• 2 hours 1 minute
• On-Demand
• Paid Course

Yannic Kilcher

Text Embeddings Reveal Almost As Much As Text - Iterative Embedding Inversion

Explore how text embeddings can potentially reconstruct original text, discussing methods, implications, and prevention strategies for this emerging privacy concern in natural language processing.

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

Introduction to Embeddings with the OpenAI API

Unlock more advanced AI applications, like semantic search and recommendation engines, using OpenAI's embedding model!

• DataCamp
• 3 hours
• On-Demand
• Free Trial Available

GenAI & Cybersecurity: Learn OpenAI Text Embedding

104 ratings at Udemy

Unlock the Power of AI in Cybersecurity: From Basics to Advanced Threat Detection Techniques

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

Code with Ania Kubów

Vector Embeddings for Beginners - OpenAI

Learn to create and utilize vector embeddings for AI applications, including text analysis, database integration, and building an AI assistant using OpenAI and Langchain.

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

Shaw Talebi

Text Embeddings, Classification, and Semantic Search with Python Code

Explore text embeddings for classification and semantic search with Python. Learn to transform text into computable vectors for powerful NLP applications.

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

AI Engineer

The Hidden Life of Embeddings - Visualizing, Manipulating, and Interpreting Text Embeddings

Explore advanced techniques for visualizing, manipulating, and interpreting text embeddings beyond vector search, including t-SNE, UMAP, PCA, and novel tools for understanding embedding features.

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

Center for Language & Speech Processing(CLSP), JHU

Nugget: Neural Agglomerative Embeddings of Text

Explore dynamic text embedding with Nugget, a novel approach for encoding language into meaningful units, enhancing semantic comparison and expanding contextual windows in language models.

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

Shaw Talebi

Fine-Tuning Text Embeddings for Domain-specific Search with Python

Master text embedding fine-tuning techniques in Python, focusing on domain-specific search optimization using Sentence Transformers library and practical implementation steps for AI job applications.

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

Shaw Talebi

How to Solve Problems with Text Embeddings and ML

Discover how to leverage text embeddings and machine learning to analyze customer data, featuring a practical ideal customer avatar analysis with real-world implementation examples.

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

GeeCON Conference

Harnessing the Power of LLM Text Embeddings

Explore LLM text embeddings for sales tech, covering retrieval, pattern mining, and tailored embeddings to unlock insights from sales conversations at scale.

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

End-to-End RAG with Weaviate

Master RAG with Weaviate! Embed text and images for retrieval, and experiment with vector, BM25, and hybrid search.

• DataCamp
• 2 hours
• On-Demand
• Free Trial Available

Building Generative AI Applications for Data Insights on Azure

1 rating at Udacity

Master Azure OpenAI services to build AI applications that extract valuable data insights using RAG, prompt engineering, and vector search techniques.

• Udacity
• 8 hours
• On-Demand
• Paid Course

Google Cloud Tech

Generative AI Text and Multimodal Embedding Models for Real-World Use Cases

Explore Vertex AI's text and multimodal embedding capabilities for innovative business solutions. Learn evaluation frameworks and applications in textual similarity tasks.

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

Sam Witteveen

Qwen 3 Embeddings and Rerankers - Open Source Text Embedding and Reranking Models

Explore Qwen 3's state-of-the-art embedding and reranking models with open weights, featuring hands-on demos and performance comparisons on MTEB benchmarks.

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