Semantic Search Courses and Certifications

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The Future of Search - Empowering Semantic Search with LLMs

Explore the evolution of search technology, focusing on vector databases and LLMs. Learn about semantic search setup, real-world applications, and see a practical demonstration.

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

Data Science Conference

Advanced Search and AI Enhancements for E-commerce Websites

Discover how to enhance e-commerce websites with AI-powered search capabilities, from semantic search and vector databases to personalization and dynamic pricing implementations.

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

Building a Custom OpenAI Chatbot

Learn to build a custom Q&A bot using OpenAI's language processing capabilities, from data preparation to creating a functional chatbot that provides accurate and insightful answers.

• Udacity
• 1 week, 5-6 hours a week
• On-Demand
• Paid Course

Fractal Analytics

Coding with Generative AI

13 ratings at Coursera

Explore Generative AI for coding, learning fundamentals, neural networks, and practical applications to enhance code quality and efficiency in real-world challenges.

• Coursera
• 11 hours 32 minutes
• On-Demand
• Free Online Course (Audit)

U&P AI - Natural Language Processing (NLP) with Python

1148 ratings at Udemy

Become an NLP Engineer by creating real projects using Python, semantic search, text mining and search engines!

• Udemy
• 5 hours 50 minutes
• On-Demand
• Paid Course

Vector Databases for Embeddings with Pinecone

Discover how the Pinecone vector database is revolutionizing AI application development!

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

Understanding and Applying Text Embeddings

55 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

Scrimba

Learn Embeddings and Vector Databases

16 ratings at Coursera

Master AI embeddings and vector databases for advanced applications, from setup to semantic searches and chatbot development. Gain practical skills in creating, managing, and querying embeddings for real-world AI solutions.

• Coursera
• 2 hours 6 minutes
• On-Demand
• Free Online Course (Audit)

Advanced Retrieval for AI with Chroma

Enhance AI retrieval with advanced techniques: query expansion, cross-encoder reranking, and embedding adapters. Improve relevance and accuracy of retrieved information for more effective AI applications.

• Coursera
• 1 hour 3 minutes
• On-Demand
• Paid Course

Building Applications with Vector Databases

Explore six innovative applications using vector databases, from semantic search to anomaly detection, enhancing your ability to build powerful AI-driven tools with minimal coding.

• Coursera
• 1 hour 3 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

Vector Databases: from Embeddings to Applications

Explore vector databases, embeddings, and their applications in NLP, image recognition, and semantic search. Learn to build RAG applications and conduct fast searches in vast datasets.

• Coursera
• 1 hour 3 minutes
• On-Demand
• Paid Course

Intro to Mistral AI

1 review

Learn how to use the Mistral AI to build intelligent apps, all the way from simple chat completions to advanced use-cases like RAG and function calling. Created in collaboration between Mistral AI and Scrimba.

• Scrimba
• 1 hour 22 minutes
• On-Demand
• Free Online Course

Introduction to AI-Native Vector Databases

91 ratings at LinkedIn Learning

Learn how data and AI professionals can optimize data systems using AI.

• LinkedIn Learning
• 2 hours 48 minutes
• On-Demand
• Free Trial Available

Indexing, Querying and Analyzing Text with SQL Server 2012-2014

79 ratings at Pluralsight

Working with textual data in SQL Server involves indexing, querying and analyzing texts. Improve transactional and analytical applications with Full-Text Search and analyze texts with Semantic Search and Text Mining.

• Pluralsight
• 2 hours 48 minutes
• On-Demand
• Free Trial Available