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.
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Instructors:
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
This course includes:
1.6 Hours PreRecorded video
1 quiz
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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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
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