Similarity Search Courses and Certifications

Configuring Vector Search in Spanner

Explore the fundamentals of setting up vector search capabilities in Spanner through hands-on practice in the Google Cloud console.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Introduction to Vector Databases for RAG

Explore vector databases and ChromaDB for Retrieval-Augmented Generation (RAG), learning similarity search techniques and building recommendation systems through hands-on labs with Hugging Face embedding models.

• Coursera
• 1 hour 5 minutes
• Self-Paced
• Free Online Course (Audit)

Coursera

Query Weaviate Smartly

Master advanced Weaviate queries using Python, covering semantic, vector, and hybrid search, while learning to analyze performance traces to eliminate latency bottlenecks in production search systems.

• Coursera
• 2 hours 48 minutes
• Self-Paced
• Paid Course

Coursera

Spin Up Weaviate

Master deploying, configuring, and querying Weaviate vector database through hands-on practice with Docker, APIs, and real-world data ingestion for AI applications.

• Coursera
• 1 hour 53 minutes
• Self-Paced
• Paid Course

Coursera

Chroma Database Mastery

Master Chroma vector database skills, from setup to production-ready RAG systems. Build semantic search apps, ETL pipelines, and a knowledge base using ChromaDB, LangChain, and embedding models.

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

Coursera

Launch Chroma Fast

Master Chroma vector database setup and similarity search for RAG applications through hands-on labs with 2,000+ documents in under 2 hours.

• Coursera
• 1 hour 48 minutes
• Self-Paced
• Paid Course

DeepLearning.AI;  Snowflake

Building Multimodal Data Pipelines

Master building AI-powered pipelines that process images, audio, and video using ASR, OCR, and Vision Language Models to create multimodal RAG systems for LLM-ready text.

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

Coursera

Weaviate Database Mastery

Master Weaviate's vector database with Docker deployment, schema design, hybrid search, multimodal pipelines, and enterprise-scale tuning to build production-ready AI search systems.

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

Coursera

Unify Modalities: Cross-Modal Retrieval

Master cross-modal retrieval systems that bridge text and images using FAISS, attention mechanisms, and multimodal embeddings for production-scale AI applications.

• Coursera
• 1 hour 36 minutes
• Self-Paced
• Paid Course

Vector Database Capstone Project

Implement ChromaDB vector databases for AI recommendation systems through guided and final projects, showcasing your skills in similarity searches and NLP algorithms.

• Coursera
• 4 hours 31 minutes
• Self-Paced
• Free Online Course (Audit)

Packt

Intelligent Features & Architecture in iOS Development

Explore advanced iOS development by integrating Apple ML, Siri via App Intents, Swift testing techniques, and scalable app architectures to build intelligent, high-performing applications.

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

Data Science Dojo

Vector Similarity Search

Explore vector similarity search, its applications in deep learning, and how it revolutionizes search across text, multimedia, and recommendations. Learn from industry experts about implementation and future possibilities.

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

James Briggs

Best Indexes for Similarity Search in Faiss

Explore composite indexes for optimizing vector similarity search, focusing on IVFADC, Multi-D-ADC, and IVF-HNSW methods in Faiss to balance recall, latency, and memory usage.

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

James Briggs

Product Quantization for Vector Similarity Search - Python

Learn to compress high-dimensional vectors using product quantization, reducing memory usage by 97% and improving search speeds by 92x. Includes Python implementation and visualization techniques.

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

Spring I/O

Vector Similarity Search in Spring with Redis Stack

Implementación de búsqueda de similitud vectorial en aplicaciones Spring usando Redis Stack. Aprenda sobre embeddings, bases de datos vectoriales, vectorización de datos y métricas de similitud.

• YouTube
• 55 minutes
• Self-Paced
• Conference Talk