Azure MLOps Retail Forecast Platform
End-to-end MLOps pipeline với Azure Machine Learning & Azure Native Services
👨💻 Tác giả 1
Nguyễn Thanh Nhân
Cloud Engineer
👩💻 Tác giả 2
Hà Khả Nguyên
Data Engineer
👩💻 Tác giả 3
Phạm Thị Anh Đào
Data Analyst
👩💻 Tác giả 4
Dương Thị Quỳnh Giang
Data Analyst
Azure MLOps Technology Stack & Architecture
☁️ Azure Foundation
Resource Groups + Key Vault + RBAC
🤖 ML Platform
Azure ML + Model Registry + Compute
🐳 Containers
ACR + Managed Endpoints + AKS
💾 Data & Storage
Azure Storage + Data Assets + Versioning
🚀 CI/CD & DevOps
Azure DevOps + GitHub Actions
📊 Monitoring & Security
App Insights + Monitor + Activity Log
📚 Azure MLOps Workshop Steps
18 Task Azure MLOps Hoàn Chỉnh
End-to-end MLOps pipeline với Azure Machine Learning từ Resource provisioning đến Deployment và Monitoring
🏗️ Foundation
🤖 ML Training
🚀 Deployment
📊 Monitoring
🔄 CI/CD
⚡ Advanced
📊
Monitoring & Observability
✨ Điểm nổi bật của Azure MLOps Workshop
☁️
Azure Native
100% Azure services integration
🤖
Azure ML Platform
Managed training & deployment
🚀
Managed Endpoints
Serverless inference scaling
🔒
Enterprise Security
RBAC + Key Vault + Managed Identity
🔄
Azure DevOps
End-to-end CI/CD pipelines
💰
Cost Optimized
Scale-to-zero + lifecycle policies