The ML Core Service is constructed using a MongoDB, Kafka, and cloud storage technologies. Additionally, it seamlessly collaborates with vital services like [ML Project Service](/release-6.0.0/use/source-code/manage-learn/ml-project-service.md), [ML Survey Service](/release-6.0.0/use/source-code/manage-learn/ml-survey-service.md), and [Learner Services](https://lern.sunbird.org/learn/readme). This Microservice is composed of ten pivotal Modules, each playing a crucial role.
#### User Role
This module stores essential user role information.
#### Cloud Service
It facilitates communication between ML Core and the Cloud Service for data storage and retrieval.
#### Admin
Providing administrative services within the Manage Learn Building block.
#### Users
Serving user-centric functions, including targeted programs and resources.
#### Solution
Responsible for solution creation and management.
#### Certificate Base Templates
Creating foundational certificate templates used by certificate templates and providing certificate URLs.
#### Certificate Template
Mapping certificates with solutions and associated criteria.
#### Program Users
Managing user enrollment and consent statuses.
#### Program:
Creating and managing programs.
#### User Extension
Storing user details and program-related information for program designers and managers.
These ten modules synergize as the backbone of the [ML Core Service](/release-6.0.0/use/source-code/manage-learn/ml-core-service.md), empowering users to enhance and optimize program capabilities within the broader SunbirdEd ecosystem on the App platform.
#### Video on ML core services
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