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Learning Paths

Choose your learning journey

AI Developer

Available

This path provides a deep dive into Weaviate, teaching you to build AI-native applications by mastering data ingestion, vector search, and Retrieval-Augmented Generation (RAG). You will then advance to production-grade topics, focusing on optimizing search quality and performance, implementing security, and handling complex use cases like multi-tenancy and multimodal data.

AI Developer

1

Prototyping

7 hours

Prove the concept in a day

Coursefoundation

Key Concepts & Architecture

Become familiar with Weaviate's architecture, core concepts, and key capabilities. Understand how its features and integrations map to AI builders' needs.

Python
1 hours
Coursefoundation

Hands-on Weaviate with Python

Build your first Weaviate project to store and search data, and perform retrieval-augmented generation (RAG) with generative AI models.

Python
1 hours
Coursefoundation

A Gentle Deep Dive into AI Models

A detailed overview of AI models from the perspective of application builders and developers. Learn how to distinguish between models and why model selection matters.

Python
2 hours
Coursefoundation

Your First AI App (Search and RAG)

A hands-on course where you will build a movie recommendation API with Weaviate and FastAPI.

Python
3 hours
2

Development

7 hours

Build the backbone of your application

CourseDevelopment

Architectural Decisions Guide

Learn what the most important architectural decisions are when building applications with Weaviate, and how to make the right choices for your use case.

Python
1.5 hours
CourseDevelopment

Embedding Model Evaluation & Selection

Embedding models are the heart of vector search. Learn how to evaluate and select appropriate embedding models for your use case.

Python
2 hours
CourseDevelopment

Search Strategies: In Depth

Gain deep, practical knowledge of search strategies in Weaviate. Dive deeper into different search types, tokenization and its impact, and search optimization techniques.

Python
1.5 hours
CourseDevelopment

Data Ingestion: In Depth

How you prepare and ingest data has big impact on the quality of your search and downstream applications. Learn about the key options and decisions to make, and some best practices.

Python
2 hours
3

Additional Standalone Topics

3 hours

Topics that can be taken at any time to enhance your skills

CourseStandalone

Multimodal Data: In Focus

A lot of our world is multimodal. Learn how to work with multimodal data, combining the right embedding and generative models with Weaviate.

Python
2 hours
CourseStandalone

Document Chunking Strategies

Learn effective chunking strategies for different types of documents and use cases

Python
1 hours