Welcome to Azure Cosmos DB for AI & Modern Applications training! This is a challenge-based learning experience designed to teach you how to build scalable, high-performance, and cost-optimized applications using Azure Cosmos DB. Through hands-on challenges, you'll explore data modeling, full-text and vector search, AI agent development, security, and cost optimization strategies.
This hack blends technical deep dives with practical exercises covering real-world scenarios where Azure Cosmos DB shines - from IoT applications to AI-powered systems. You'll also explore the latest innovations in Cosmos DB, including its integration with AI services and modern application patterns.
In this hack you will learn how to:
- Design and implement effective data models for Azure Cosmos DB
- Understand partitioning strategies and indexing policies for optimal performance
- Build AI-powered applications using Cosmos DB's vector search capabilities
- Implement full-text search, vector search, and hybrid search patterns
- Develop multi-agent systems with Azure Cosmos DB as the data foundation
- Apply security best practices including RBAC, encryption, and private endpoints
- Optimize costs through autoscale, TTL, and indexing tuning strategies
- Monitor and troubleshoot Cosmos DB performance using diagnostic tools
- Leverage the latest Cosmos DB features for modern application development
This hack has the following challenges:
- Challenge 00: Prerequisites - Ready, Set, GO!
- Prepare your development environment, Azure subscription, provision Cosmos DB accounts, configure basics, and validate connectivity
- Challenge 01: Data Modeling & Query Optimization
- Design partitioned data models, write efficient queries, and analyze performance
- Challenge 02: AI-Powered Search with Vector Embeddings
- Build AI agents with full-text, vector, and hybrid search capabilities
- Challenge 03: Monitoring, Autoscale, and Security in Azure Cosmos DB
- Implement monitoring, autoscale, and security in Azure Cosmos DB
Before starting this hack, you should have:
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Technical Skills:
- Basic familiarity with NoSQL databases and the Azure Portal
- Understanding of REST APIs and JSON
- Experience with at least one programming language (Python, C#, Node.js)
- Basic knowledge of cloud computing concepts
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Azure Requirements:
- Azure subscription with Owner rights
- Access to Azure OpenAI service (Request Access)
- Sufficient Azure OpenAI quota (30K tokens/min for GPT-4o, 5K tokens/min for text-embedding-3-small)
./Coach- Coach's Guide and related files
/Solutions- Solution files with completed example answers to each challenge
./Student- Student's Challenge Guide
/Resources- Resource files, sample code, applications, and templates provided to students
- Microsoft Azure Cosmos DB Team
- Partner Training Content Team