This Azure Cosmos DB training is designed to help participants design, deploy, and manage globally distributed, multi-model NoSQL databases using Microsoft Azure Cosmos DB. The course covers Cosmos DB architecture, APIs, data modeling, partitioning, security, performance tuning, and global distribution. Participants will gain hands-on experience to build highly scalable, low-latency applications using Azure Cosmos DB for modern cloud-native workloads.

• Understand the architecture, globally distributed database capabilities, and NoSQL features of Azure Cosmos DB for modern cloud  application development.
• Set up and configure the Azure Cosmos DB environment, accounts, containers, partitions, and security settings for operational  workflows.
• Design databases, collections, partition strategies, indexing policies, and scalable data models using Azure Cosmos DB development  approaches.
• Implement data operations, replication, consistency management, query execution, and cloud data integration workflows effectively.
• Debug, test, and optimize queries, throughput configurations, and database performance for scalability, reliability, and maintainability.
• Build secure, scalable, and production-ready cloud-native database solutions using Azure Cosmos DB best practices.

 • Cloud application developers
 • Database administrators working with NoSQL
 • Cloud architects and engineers
 • DevOps and platform engineers
 • Teams building globally distributed applications

 • Basic understanding of databases and data concepts
 • Familiarity with Microsoft Azure fundamentals is helpful
 • Experience with application development is beneficial

 • Understanding Azure Cosmos DB architecture and components
 • Choosing and working with Cosmos DB APIs
 • Designing data models for NoSQL workloads
 • Implementing partitioning and scalability
 • Configuring global distribution and replication
 • Securing Cosmos DB environments
 • Monitoring and tuning Cosmos DB performance
 • Applying Cosmos DB best practices

By the end of this training, participants will be able to design, deploy, and operate Azure Cosmos DB solutions with confidence. Learners will gain strong fundamentals in global distribution, partitioning, and performance optimization, enabling them to build scalable, resilient, cloud-native applications.

Introduction to Azure Cosmos DB & Global Distribution
 • What is Azure Cosmos DB and where it is used
 • Cosmos DB architecture and service tiers
 • Consistency models overview
 • Multi-region replication concepts

Cosmos DB APIs & Data Models
 • Core (SQL) API
 • MongoDB API overview
 • Table and Cassandra APIs basics
 • Choosing the right API

Containers, Items & Partitioning
 • Containers and items
 • Partition keys and data distribution
 • Designing for scale
 • Avoiding hot partitions

Security & Access Control
 • Azure Active Directory integration
 • Role-based access control
 • Network security and firewalls
 • Data encryption basics

Performance & Throughput Management
 • Request Units and throughput provisioning
 • Autoscale vs manual throughput
 • Optimizing queries and indexing
 • Reducing RU consumption

Global Distribution & High Availability
 • Configuring multi-region writes
 • Failover priorities
 • Availability SLAs
 • Disaster recovery concepts

Monitoring & Cost Optimization
 • Azure Monitor for Cosmos DB
 • Key performance metrics
 • Cost management strategies
 • Capacity planning basics

Backup, Restore & Data Protection
 • Continuous and periodic backups
 • Restore options
 • Point-in-time restore basics
 • Data protection best practices

Azure Cosmos DB Workshop & Best Practices
 • Designing a globally distributed Cosmos DB solution
 • Configuring partitioning and throughput
 • Monitoring and tuning performance
 • Final workshop review and best practices

• Azure Cosmos DB Setup & NoSQL Database Architecture
• Account Configuration, Containers & Partition Management
• Data Modeling, Indexing & Query Development
• Replication, Consistency & Cloud Integration
• Testing, Debugging & Performance Optimization
• End-to-End Azure Cosmos DB Development Project

Participants will be evaluated through hands-on Azure Cosmos DB labs, practical configuration and optimization exercises, instructor-led reviews, and a final assessment focused on building and managing a production-ready Cosmos DB environment.

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Azure Cosmos DB. This digital, verifiable certification validates practical Cosmos DB architecture, global distribution, NoSQL data modeling, and cloud database management skills and can be shared on LinkedIn and included in professional profiles to enhance cloud and NoSQL career credibility.