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Learn Embeddings and Vector Databases
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Learn Embeddings and Vector Databases

This course is part of AI Engineering Specialization.

Course Cost

Free course

Intermediate

Skill Level

3 Hours

Self-paced Video lessons

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

1,977 Enrolled

English

4.6

1,977 Enrolled

English

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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Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

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PROVIDED BY

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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 · 54 Minutes to complete

Advanced Retrieval & AI Applications

Module 2 · 1 Hours to complete

Test Your New Knowledge

Module 3 · 1 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: AI Engineering Specialization

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Learn Embeddings and Vector Databases

Intermediate

Skill Level

3 Hours

Self-paced Video lessons

Course Cost

Free course

Completion

CERTIFICATE

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.