Weaviate Academy

About this course

Weaviate Academy is your guided introduction to vector databases—a cornerstone technology reshaping how AI systems search, understand, and retrieve information. Created by Weaviate, a leader in vector database innovation, this course teaches you embeddings, semantic search, retrieval-augmented generation (RAG), and multi-modal AI in a hands-on, practical way. If you want to move beyond keyword matching and build smarter search experiences, this is where you start.

What you'll learn

• How embeddings work and why they're the foundation of modern semantic search
• Build and query vector databases to power intelligent recommendation systems
• Implement semantic search—retrieving results based on meaning, not just keywords
• Design and deploy retrieval-augmented generation (RAG) pipelines to connect LLMs with private data
• Work with multi-modal embeddings to search across text, images, and other data types
• Optimize vector database performance for production applications
• Integrate Weaviate into Python and other application frameworks

Who this is for

You're ready for this course if you've touched Python or basic machine learning concepts and want to understand the AI infrastructure that powers next-generation search and recommendation systems. No vector database experience needed.

• AI Engineers — master vector databases to build semantic search and RAG systems that directly impact product capabilities
• Backend Developers — learn the infrastructure behind intelligent search, enabling you to architect data retrieval pipelines for modern applications
• Data Scientists — bridge the gap between model training and production, discovering how embeddings and vector databases unlock real-world AI value

Prerequisites

Comfortable with Python basics (variables, functions, libraries). Familiarity with how APIs work is helpful. Some exposure to machine learning concepts (even conceptual) will smooth the learning curve, but isn't required.

Why this matters for Indian learners

Vector databases and semantic search are moving from research labs into mainstream production—and companies across India are hiring for these skills right now. E-commerce platforms in India (including major players like Flipkart and Amazon India) are building smarter search and recommendation engines; fintech and healthtech startups in Bangalore and Mumbai are embedding RAG systems into customer-facing products; and AI teams at global tech giants with India hubs are deepening their vector infrastructure. These skills directly translate to higher-paying engineering roles and faster promotions in India's growing AI job market.

Frequently asked questions

Is this course really free?

Yes. Weaviate Academy is completely free—no hidden charges, no paid tier for course material. You learn the same content everyone else does.

How long will it take to complete?

The course is designed for 10 hours of learning. That's roughly 2–3 hours per week if you spread it over a month, or you can move faster depending on your pace and how much you practice with hands-on projects.

Will I get a certificate?

Yes. On completion, you'll receive a certificate from Weaviate Academy that you can add to your resume and LinkedIn profile.