Semantic Search Courses and Certifications

Large Language Models with Semantic Search

Enhance search capabilities using LLMs, exploring dense retrieval and reranking techniques to improve relevance and effectiveness beyond traditional keyword-based methods.

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

David Shapiro ~ AI

Semantic Search for AI - Testing Out Qdrant Neural Search

Explore semantic search implementation using Qdrant, covering Docker setup, data cleaning, microservice creation, and leveraging sentence embeddings for improved AI-powered search capabilities.

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

James Briggs

Using Semantic Search to Find GIFs

Learn to build a GIF search engine using semantic search, exploring data preparation, vector databases, and querying techniques for more accurate and context-aware results.

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

Elvis Saravia

Ways to Solve Neural Search With Jina

Explore neural search techniques, from basics to advanced applications, using Jina for text, audio, and video. Learn to build efficient, scalable search engines with practical insights.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

BasisTech

Scaling Conceptual Semantic Search to Terabytes

Scaling semantic search for enterprise performance: methods to achieve 500M comparisons per second on commodity hardware, with focus on alerting platforms for data ingestion and analysis.

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

Data Science Dojo

Vector Embeddings for Semantic Search Made Easy with Practical Tips

Explore vector embeddings for semantic search, learning techniques to create meaningful representations, efficient similarity search algorithms, and practical strategies for enhanced information retrieval.

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

MLCon | Machine Learning Conference

Practical LLM Fine-Tuning for Semantic Search

Explore fine-tuning LLMs for semantic search in specialized domains. Learn data requirements, training techniques, and practical insights to enhance search capabilities using open-source tools.

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

Mervin Praison

TxtAI - Simplifying RAG and Semantic Search with an All-in-One Embeddings Database

Explore TxtAI: all-in-one solution for semantic search, LLM orchestration, and language model workflows. Learn embeddings, indexing, and advanced text processing techniques.

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

Databricks

Databricks Vector Search - What, Why and How

Explore Databricks Vector Search for enhancing GenAI applications with semantic search capabilities, addressing challenges in scalability, accuracy, and production deployment.

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

Open Data Science

Semantic Search: Revolutionizing Information Retrieval - Nils Reimers

Explore semantic search's power to enhance retrieval accuracy using pre-trained transformer networks. Learn how it overcomes lexical limitations and improves multilingual search efficiency across 100+ languages.

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

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

Understanding and Applying Text Embeddings

54 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

12 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)

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