Santa’s data platform is in crisis! Overloaded by massive gift data and the new AI engine demands, we need Master Elves to solve the technical challenges. Join our exclusive four-week challenge to rapidly acquire the expertise needed to build and scale Generative AI applications using MongoDB. Complete all four to win the Grand Prize!
This challenge follows a critical, four-step journey to deploying a production-ready AI application. Each step is a focused MongoDB University Skill Badge—a free, verified credential that takes approx. 90 minutes of self-paced learning to earn. These badges are designed to quickly validate your practical knowledge, helping you accelerate projects, demonstrate certified expertise on your CV/LinkedIn profile (via Credly), and unlock advanced capabilities within the MongoDB platform.
Each Monday throughout December, a new door on our Advent Calendar will unlock, revealing the Skill Badge you need to master that week.
The mission remains a secret until the week of the challenge, so register your interest today! We'll send you a notification the moment each badge is unlocked so you can dive deep, earn your Credly badge, and stay ahead in the race!
Is your current data structure a tangled mess, unfit for modern embeddings? Before you can build intelligence, you must build the foundation. In this skill, we solve Santa's schema crisis by learning how to model data for flexibility, vectors, and lightning-fast retrieval. Say goodbye to rigid, legacy tables!
Data volume is exploding, especially with billions of vector dimensions. Is your single cluster struggling to keep up? In this course, you'll learn how to horizontally distribute your massive dataset. Discover the enterprise-grade technique for massive scale and resilience required for global AI deployment.
You mastered the skills—now see them in action! Join our live webinar to learn the crucial next step: Integrating Retrieval-Augmented Generation (RAG). Discover how to combine your new Vector Search skills with LLMs to build smarter, real-time, and highly contextual AI-driven experiences.Â
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📅 Wednesday, 14th January, 9:30 AM GMTÂ
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