Enterprise AI Deployment on Azure

Production-Ready AI Solutions with Enterprise Security

🎯 Course Overview

Master the deployment of production-ready AI solutions on Azure with enterprise security patterns that translate seamlessly to AWS and GCP. Learn from real Fortune 500 deployments where security and scale aren't optional.

📚 What You'll Learn

• 🔒 Enterprise Security - Deploy Azure OpenAI behind private endpoints with VNet integration
• ☁️ Multi-Cloud Patterns - Translate Azure AI services to AWS/GCP equivalents
• 🚀 Developer Acceleration - Generate infrastructure code 70% faster with GitHub Copilot
• 💰 Cost Governance - Implement controls to prevent runaway AI spending
• ✅ Compliance Ready - Meet SOC2, ISO27001, and HIPAA requirements

📋 Course Outline

Module 1: Azure OpenAI + Enterprise Security (60 min)

• Azure OpenAI Service provisioning
• Private endpoints and VNet integration
• Well-Architected Framework security pillars
• Multi-cloud security pattern translation

Module 2: AI Services Integration (60 min)

• Azure AI Services composition strategies
• GPT-4 chatbot with Azure AI Search
• Custom ML vs pre-built services
• Service mesh patterns

Module 3: Developer Acceleration with Copilot (60 min)

• GitHub Copilot enterprise setup
• Secure Bicep infrastructure templates
• Microsoft 365 Copilot integration
• AI-powered DevOps pipelines

Module 4: Production Patterns (55 min)

• Cost governance strategies
• Hybrid connectivity patterns
• Cross-cloud disaster recovery
• Performance optimization

🛠️ Prerequisites

• Azure Fundamentals - AZ-900 level knowledge
• Basic Networking - Understanding of IP, DNS, VNets
• Command Line - Azure CLI or PowerShell comfort
• Development Basics - VS Code and Git familiarity

🚀 Getting Started

1. Clone this repository
2. Ensure you have an Azure subscription (free tier works)
3. Install VS Code with Azure/GitHub Copilot extensions
4. Set up Azure CLI and Git
5. Access course materials at github.com/timothywarner

🧪 Classroom MVP App

Looking for a ready-to-teach demo? Check out mvp-node-app/ for a Node.js Retrieval Augmented Generation microservice that:

• Uses Azure OpenAI for chat completions and embeddings
• Demonstrates private Azure infrastructure with a Bicep template
• Exposes its functionality as both REST endpoints and an MCP server

It's designed for live delivery—run npm run prep, npm run dev, and optionally npm run mcp to showcase enterprise-ready Azure AI patterns in minutes.

📖 Resources

Preparation

• 📚 Exam Ref AZ-305 Designing Microsoft Azure Infrastructure Solutions
• 🎥 Exam AI-900 Microsoft Azure AI Fundamentals

Follow-up

• 📚 AZ-500 Microsoft Azure Security Technologies Guided Cert Prep
• 🎥 Exam AZ-500 Microsoft Azure Security Technologies

👨‍🏫 About the Instructor

Tim Warner - Microsoft MVP with extensive experience in enterprise AI deployments. Provides working code, architecture diagrams, and production-tested patterns from real Fortune 500 implementations.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

---

Ready to deploy AI that actually ships to production? Let's get started! 🚀