Course Overview
- Course Title: MongoDB + AI: Build Intelligent Apps with Vector Search & LLMs
- Instructor: Mahbubur Rahman (Creative Online School)
- Target Audience:
- Developers with beginner-level programming knowledge
- Professionals interested in AI-driven applications
- Data engineers and full-stack developers
- Individuals looking to integrate MongoDB with LLMs
- Prerequisites:
- Basic computer skills
- Beginner-level programming knowledge
- Willingness to learn MongoDB and AI concepts
Curriculum Highlights
- Key Topics Covered:
- MongoDB fundamentals (documents, collections, indexes, schema design)
- Vector embeddings and AI-driven search
- Vector similarity search vs. keyword search
- MongoDB Atlas Vector Search implementation
- Semantic search and re-ranking pipelines
- Hybrid search and metadata filtering
- Integration of MongoDB with LLMs (GPT, Claude, open-source models)
- RAG (Retrieval-Augmented Generation) workflows
- Building AI-powered Q&A bots and recommendation engines
- Intelligent chatbots with memory storage in MongoDB
- Performance tuning and secure API deployment
- Key Skills Learned:
- Storing, indexing, and querying vector embeddings in MongoDB
- Building full-stack AI applications with LLMs and real-time data pipelines
- Implementing RAG workflows to improve LLM accuracy
- Developing context-aware AI features
- Deploying scalable, production-ready AI applications
- Using MongoDB Atlas for vector search and AI integration
Course Format
- Duration:
- 1.5 hours of on-demand video
- 17 lectures (articles)
- 17 downloadable resources
- Format: Self-paced online course
- Resources:
- On-demand video content
- 17 articles
- 17 downloadable resources
- Mobile and TV access
- Certificate of completion
Special Offer
- Limited Time Coupon Code: N/A