Spin Up Weaviate
Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.
Spin Up Weaviate
This course is part of Chroma, Weaviate & Production RAG Deployment Specialization
Instructor: LearningMate
Included with
Ask Coursera
Recommended experience
Recommended experience
What you'll learn
Deploy a Weaviate vector database with Docker Compose, configure a schema, ingest data objects, and run vector search queries using its native API.
Details to know
March 2026
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 3 modules in this course
Spin Up Weaviate is an intermediate, hands-on course for developers and ML engineers who need to get a modern vector database running fast. If you're ready to move from theory to practice, this course provides a direct, step-by-step path to deploying, configuring, populating, and querying Weaviate, one of the most popular open-source vector databases available today. Forget high-level concepts; this course is about execution.
You will learn how to use Docker Compose to launch a Weaviate instance locally, define a data schema using its API, and ingest data objects for semantic search. Through a series of practical and guided screencasts and a final, real-world project, you will configure a live database, load it with a dataset of 1,000 articles, and perform your first vector search query using GraphQL APIs to run similarity-based vector search queries. By the end of this 2-hour session, you will have the confidence and skill to deploy and interact with a vector database environment for your own AI applications.
This module focuses on the essential first step: setting up and running your database environment. You will learn how to use Docker Compose to launch a Weaviate instance locally, understand its configuration, and define a data schema that tells the database how to structure incoming information.
What's included
1 video1 reading2 assignments
1 video•Total 7 minutes
- How-To: Define a Data Schema via API•7 minutes
1 reading•Total 5 minutes
- Understanding the Weaviate Runtime•5 minutes
2 assignments•Total 13 minutes
- Hands-On Learning: Launch Weaviate and Apply Schema•8 minutes
- Knowledge Check: Deployment and Schema Concepts•5 minutes
Your database is running; now it's time to use it. This module focuses on the data lifecycle. You will learn how to use Weaviate's REST APIs to ingest data and the GraphQL API to verify retrieval using vector search queries.
What's included
2 videos1 reading2 assignments
2 videos•Total 15 minutes
- The "Empty Box" Problem•6 minutes
- How-To: Ingest Data with REST and Query Data with GraphQL to verify•8 minutes
1 reading•Total 5 minutes
- Understanding Weaviate's GraphQL API•5 minutes
2 assignments•Total 13 minutes
- Hands-On Learning: Your First Ingestion and Query•8 minutes
- Knowledge Check: Data Ingestion with GraphQL•5 minutes
With data in your database, this final module teaches you how to get it out intelligently. You will master how to construct and refine vector search queries using GraphQL, understand how query choices affect relevance, and apply these skills to retrieve meaningful results from larger datasets.
What's included
2 videos1 reading2 assignments
2 videos•Total 13 minutes
- The "Smart Librarian"•7 minutes
- How-To: Perform and improve a Vector Search with GraphQL•7 minutes
1 reading•Total 5 minutes
- Understanding GraphQL Queries for Search Relevance•5 minutes
2 assignments•Total 38 minutes
- Final Project: Ingest and Search Data•30 minutes
- Hands-On Learning: Practice Your First Vector Search•8 minutes
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Explore more from Data Management
- Status: Free TrialC
Coursera
Course
- Status: Free Trial
Specialization
- Status: Free TrialC
Coursera
Course
- Status: Free TrialC
Coursera
Course
Why people choose Coursera for their career
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
More questions
Financial aid available,
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.