MongoDB for Advanced Users Training Course

This instructor-led, live training (available online or on-site) is designed for developers eager to harness the FARM (FastAPI, React, and MongoDB) stack to build dynamic, high-performance, and scalable web applications.

By the conclusion of this training, participants will be able to:

• Establish the essential development environment integrating FastAPI, React, and MongoDB.
• Grasp the core concepts, features, and advantages of the FARM stack.
• Learn how to construct REST APIs using FastAPI.
• Master the art of designing interactive applications with React.
• Develop, test, and deploy both front-end and back-end applications using the FARM stack.

This course covers everything a database administrator needs to know to successfully deploy and maintain MongoDB databases.

It also addresses diagnosing performance issues, importing and exporting data, establishing robust backup and restore routines, and provides an overview of the MongoDB CRUD API, the command shell, and drivers.

This course is designed for individuals who wish to:

• Understand MongoDB from a developer's perspective, including its command shell, query API, and driver tools.
• Deploy MongoDB in all configurations—as a standalone server, with master/slave replication, as a replica set, and as a sharded cluster.
• Evaluate applications and select appropriate hardware.
• Monitor MongoDB instances and integrate them with standard monitoring software (such as Munin, Nagios, etc.).
• Plan for backups and manage large-scale data imports and exports.
• Troubleshoot the most common developer issues and failure scenarios.

Each participant will be required to complete a series of practical exercises.

This instructor-led, live training (delivered online or on-site) is designed for administrators seeking to resolve complex deployment and management challenges using MongoDB Ops Manager.

By the conclusion of this training, participants will be able to:

• Install and configure MongoDB Ops Manager
• Set up and manage diverse environment types
• Understand and implement MongoDB Enterprise Server-specific solutions to address complex enterprise challenges

Course Format

• Interactive lectures and discussions
• Abundant exercises and practical practice
• Hands-on implementation within a live lab environment

Course Customisation Options

• This training is based on MongoDB Enterprise Server, which includes Ops Manager. Please consult with us to arrange licence requirements.
• To request a customised training session for this course, please contact us to make arrangements.

MongoDB is a widely adopted NoSQL database recognised for its flexibility, scalability, and distributed architecture, making it ideal for modern application backends, data aggregation, and real-time analytics.

This instructor-led, live training (delivered either online or on-site) is designed for intermediate to advanced-level technical professionals seeking practical, in-depth knowledge of MongoDB operations—from deployment and high availability to security and disaster recovery.

By the conclusion of this training, participants will be able to:

• Install, configure, and maintain MongoDB across various environments.
• Model data effectively to optimise performance and scalability.
• Configure secure access and define robust backup and recovery procedures.
• Establish high-availability clusters and monitor key performance metrics.
• Manage real-world administrative tasks, including upgrades and automation.

Course Format

• Interactive lectures and group discussions.
• Extensive exercises and hands-on practice.
• Practical implementation in a live-lab environment.

Course Customisation Options

• To request a customised version of this training, please contact us to arrange.

This course encompasses all the essential knowledge database developers need to create robust applications using MongoDB.

Develop expert-level MongoDB skills. Master the manipulation of documents, efficient querying techniques, and effective data modelling. Learn to utilise aggregation pipelines, implement indexing strategies, and design schemas to build scalable NoSQL applications.