AI Enterprise Architecture

✅ Summary

Deploy a fully integrated, enterprise-grade Azure environment in minutes. This managed application accelerates development, AI innovation, data science, and data engineering workflows with a secure, scalable architecture built on Azure best practices. It now includes Azure AI Foundry and Azure Machine Learning Studio for advanced AI model development and deployment.

✅ Description

This Enterprise Architecture Managed Application delivers a comprehensive Azure setup designed for modern workloads. It provisions private virtual networks with NAT and Public IP, Key Vault for secret management, Container Registry for Docker image storage, and SQL Server for relational data. Advanced analytics and data engineering are enabled through Azure Data Factory, Databricks, and Synapse Analytics, all of which are secured with Private Endpoints. The deployment also includes Virtual Network Gateway for hybrid connectivity, Azure Kubernetes Services for container orchestration, Application Gateway for traffic management, DNS Zones for name resolution, and Storage Accounts for durable data storage.

With Azure AI Foundry and Azure Machine Learning Studio integrated, teams can build, train, and deploy AI models at scale, leveraging cutting-edge tools for generative AI, predictive analytics, and machine learning workflows.

✅ Highlights

• Rapid Environment Provisioning: Deploy a complete enterprise architecture in minutes.
• End-to-End Security: Private Endpoints, Key Vault, and network isolation ensure compliance and data protection.
• AI & Advanced Analytics Ready: Seamlessly integrate ML models, big data pipelines, and predictive analytics using Databricks, Synapse, Azure AI Foundry, and Azure ML Studio.
• Data Science Enablement: Provides secure, scalable compute and storage for experimentation, model training, and deployment with Azure ML Studio.
• Data Engineering Optimization: Streamline ETL and data integration processes with Azure Data Factory and private networking.
• Generative AI Capabilities: Utilize Azure AI Foundry for building and deploying advanced AI solutions, including LLMs and cognitive services.
• Scalability & Flexibility: Supports diverse workloads from microservices to big data analytics and AI-driven applications.
• Hybrid Connectivity: Seamless integration with on-premises environments via Virtual Network Gateway.
• Optimized for Collaboration: Enables developers, data scientists, and IT operations to work in a unified, secure ecosystem.
• Cost Efficiency: Centralized resource governance and managed application model simplify operations and reduce overhead.
• Future-Ready Architecture: Built on Azure best practices for high availability, resiliency, and performance.