Weaviate Courses and Certifications

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
• Self-Paced
• Free Trial Available

Coursera Credential

Chroma, Weaviate & Production RAG Deployment

Master vector databases and RAG deployment with Chroma and Weaviate, building production-ready search systems with advanced patterns, security, and optimization techniques.

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

Coursera

Enable Vectorization in Weaviate

Master automated vectorization in Weaviate by configuring built-in modules, defining schemas, and conducting cost-benefit analysis for production-ready vector databases.

• Coursera
• 1 hour 37 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

Model Data in Weaviate

Unlock advanced vector search by designing sophisticated schemas with multi-class relationships and relational links, then benchmark performance to optimize data architecture.

• Coursera
• 2 hours 29 minutes
• Self-Paced
• Paid Course

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

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

CMU Database Group

Weaviate: An Architectural Deep Dive

Explore Weaviate's architecture, delving into its vector database design, scalability features, and innovative approaches to data storage and retrieval in this comprehensive seminar.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

AICamp

Searching Vector Embeddings at Scale with Weaviate

Explore vector embeddings and efficient search techniques using Weaviate, covering ANN algorithms, database integration, and advanced features for ML model outputs and generative search.

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

Google Cloud Tech

From RAG to Autonomous Apps with Weaviate and Gemini on Google Kubernetes Engine

Explore advanced RAG techniques using Weaviate and Gemini on GKE. Learn to deploy, ingest data, and enhance responses for building autonomous AI applications.

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

CMU Database Group

The Weaviate Vector Database - Introduction to Vector Search and AI Applications

Explore vector databases and hybrid search techniques with Weaviate's co-founder, learning how to leverage AI-native applications and modern data ecosystems effectively.

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

Data Science Dojo

Building AI Agents with Weaviate

Master building AI agents with Weaviate through hands-on development of vector database workflows, semantic search, and multimodal retrieval for intelligent automation.

• YouTube
• 3 hours 4 minutes
• Self-Paced
• Free Video

Coursera

Unlock Multimodal Search

Explore how to build AI-powered multimodal search using Weaviate, enabling cross-modal queries across images and text, while measuring accuracy with precision metrics.

• Coursera
• 1 hour 16 minutes
• Self-Paced
• Paid Course

Wikipedia Vector Search Demo with Weaviate

Explore semantic search through Wikipedia using Weaviate, featuring demos of vector search, question answering, and applications in various domains like protein folding and natural language processing.

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

Docker

Bring Your App into the AI-Age with Weaviate and Docker - DockerCon 2023

Explore integrating AI capabilities into your applications using Weaviate and Docker. Learn about vector databases, LLMs, and overcoming hallucination through Retrieval Augmented Generation for AI-powered features.

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