MongoDB AI Course in Partnership with Andrew Ng and DeepLearning.AI
Blog post from MongoDB
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.
| 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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