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Learn Embeddings and Vector Databases

Master AI engineering with embeddings and vector databases. Learn to create, utilize, and manage embeddings for advanced AI applications.

Master AI engineering with embeddings and vector databases. Learn to create, utilize, and manage embeddings for advanced AI applications.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full AI Engineering Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.6

(12 ratings)

1,977 already enrolled

Instructors:

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Learn Embeddings and Vector Databases

This course includes

3 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Create and utilize embeddings for AI applications

  • Implement vector databases using Supabase

  • Develop semantic search capabilities

  • Build AI chatbot proof of concepts

  • Master retrieval-augmented generation techniques

Skills you'll gain

Artificial Intelligence
Vector Databases
Embeddings
OpenAI Integration
Semantic Search
Database Management
AI Engineering
RAG
Supabase
AI Chatbots

This course includes:

1.6 Hours PreRecorded video

1 quiz

Access on Mobile, Tablet, Desktop

FullTime access

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There are 3 modules in this course

This comprehensive course focuses on advanced AI engineering concepts, specifically embeddings and vector databases. Students learn to create and manage embeddings, integrate them with vector databases using tools like Supabase, and implement semantic search capabilities. The curriculum covers practical applications including text chunking, similarity searches, and conversational AI development. Through hands-on exercises and projects, learners develop skills in creating AI chatbots and implementing retrieval-augmented generation (RAG) systems.

Foundations of Embeddings & Vector Databases

Module 1 · 1 Hours to complete

Advanced Retrieval & AI Applications

Module 2 · 1 Hours to complete

Test Your New Knowledge

Module 3 · 1 Hours to complete

Fee Structure

Instructor

Guil Hernandez
Guil Hernandez

4.6 rating

94 Reviews

15,419 Students

7 Courses

Teacher at Scrimba Specializing in Web Development and AI

Guil Hernandez is a teacher at Scrimba, specializing in web development and artificial intelligence courses.

Learn Embeddings and Vector Databases

This course includes

3 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.