MongoDB for AI Engineers: RAG, Vector DB, Agents & LLM Apps

About this course

=== Students' reviews' regarding this course ==="In-depth explanations, good examples, knowledgeable instructor!

" -- Gordon Stanley"Really very good course to start learning Mongodb.

" -- Saifaldeen"Simply awesome. The instructor is explaining every line of code that he is typing it on the console and explains straight to the point. I got to learn many new things in this course as a beginner.

" -- Saurabh Mirajkar"Great course. Loved the style of the instructor and the way things are presented. Cheers" -- Joey Smith"This is a good course for someone who has worked with json objects and php before, the examples are easy to understand. I´m really enjoying this course" -- Jezer Eduardo Martínez"So very clear and concise... we learn to build and the instructor is taking us through the major steps to build something" -- Robin McManusArtificial Intelligence is rapidly transforming software development, and modern AI applications require far more than just calling an LLM API. Today's AI engineers must build systems that can retrieve knowledge, perform semantic search, manage embeddings, orchestrate AI agents, and deliver scalable, production-ready experiences.

This course is designed to help developers, software engineers, data professionals, and AI practitioners master MongoDB as a powerful foundation for building modern AI applications.

You will learn how to leverage MongoDB for Retrieval-Augmented Generation (RAG), vector databases, semantic search, AI agents, embeddings management, and Large Language Model (LLM) application development. Through hands-on projects and real-world examples, you will discover how MongoDB can serve as the backbone of intelligent applications that combine traditional database capabilities with modern AI workflows.

Unlike traditional MongoDB courses that

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