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MongoDB AI Course in Partnership with Andrew Ng and DeepLearning.AI

Blog post from MongoDB

Post Details
Company
Date Published
Author
Richmond Alake
Word Count
649
Company Posts That Month
17
Language
English
Hacker News Points
-
Post removed?
No
Summary

MongoDB, in partnership with Andrew Ng and DeepLearning.AI, has launched a new AI course titled "Prompt Compression and Query Optimization." The course aims to bridge the gap between database technology and modern AI applications by leveraging MongoDB Atlas Vector Search capabilities. It covers Retrieval Augmented Generation (RAG) applications, MongoDB Atlas Vector Search, MongoDB Document Model, and prompt compression techniques. This collaboration offers a blend of practical database knowledge and advanced AI concepts, making it ideal for developers familiar with vector search concepts and building RAG applications. The course provides hands-on code, detailed walkthroughs, and real-world applications to help developers build efficient and cost-effective RAG applications using MongoDB's robust features.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
RAG 10 2,399 253 69 +46%
Vector Search 8 2,074 267 89 +26%
Data Pipeline 1 662 183 69 +35%
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