This course offers an advanced journey into the realm of AI engineering, focusing on the creation, utilization, and management of embeddings in vector databases. Learners will begin by grasping the concept of embeddings and their pivotal role in AI's interpretative processes. The course progresses through practical exercises on setting up environment variables, creating embeddings, and integrating these into vector databases with tools like Supabase.
Learn Embeddings and Vector Databases
Learn Embeddings and Vector Databases
This course is part of AI Engineering Specialization
Taught in English
Some content may not be translated
Instructor: Guil Hernandez
Included with 
Course
Gain insight into a topic and learn the fundamentals
Intermediate level
Some related experience required
2 hours (approximately)
Flexible schedule
Learn at your own pace
What you'll learn
Understand and Create Embedding
Utilize Vector Databases
Implement Advanced AI Solutions
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
January 2024
Assessments
1 quiz
Course
Gain insight into a topic and learn the fundamentals
Intermediate level
Some related experience required
2 hours (approximately)
Flexible schedule
Learn at your own pace
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the AI Engineering Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- 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
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Share it on social media and in your performance review
There is 1 module in this course
This course provides an in-depth look at AI engineering with a focus on creating and using embeddings in vector databases. Starting with the basics of embeddings, learners will advance through practical tasks involving environment setup, embedding creation, and database integration using tools like Supabase. Challenges will test skills in text pairing, semantic and similarity searches, and crafting AI conversational responses, leading to a final project that solidifies their understanding. This course stands out for its mix of theory and hands-on practice, preparing participants to develop an AI chatbot by the end.
What's included
1 quiz19 plugins
Instructor
Offered by
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