MICROSOFT AZURE AI INFRASTRUCTURE & DEVOPS ENGINEER Certified Course

About Course

Master the skills to design, deploy, automate, and manage modern cloud infrastructure using Microsoft Azure, AI, and DevOps technologies. This comprehensive certification program covers Azure Administration, Azure Networking, Security, Docker, Kubernetes (AKS), Terraform, Azure DevOps, GitHub Actions, Azure AI Foundry, and Azure OpenAI Service.

Gain practical experience through live instructor-led training, hands-on labs, and real-time industry projects while learning to build scalable, secure, and automated cloud solutions. Enhance your career with resume building, interview preparation, industry-recognized certification, and 100% placement assistance, making you job-ready for leading Cloud, DevOps, and AI Infrastructure roles.

Key Features of Course Divine:

Collaboration with E‑Cell IIT Tirupati
1:1 Online Mentorship Platform
Credit-Based Certification
Live Classes Led by Industry Experts
Live, Real-World Projects
100% Placement Support
Potential Interview Training
Resume-Building Activities

Career Opportunities After Completing the Microsoft Azure AI Infrastructure & DevOps Engineer Certified Course:

Azure AI Infrastructure Engineer
Azure DevOps Engineer
Azure Cloud Engineer
Cloud Infrastructure Engineer
DevOps Engineer
Platform Engineer
Site Reliability Engineer (SRE)
Azure Administrator
Kubernetes Administrator
Docker Engineer
Terraform Engineer
Cloud Automation Engineer
Azure Security Engineer
AI Cloud Engineer
Cloud Solutions Engineer

Essential Skills You Will Develop in the Microsoft Azure AI Infrastructure & DevOps Engineer Certified Course:

Microsoft Azure Cloud Administration
Azure Virtual Networking & Security
Azure AI Infrastructure Management
Azure AI Foundry & Azure OpenAI
Docker Containerization
Kubernetes (AKS) Administration
Terraform (Infrastructure as Code)
Azure DevOps CI/CD Pipelines
Git & GitHub Actions Automation
Cloud Infrastructure Automation
Infrastructure Monitoring & Logging
Identity & Access Management (IAM)
Cloud Security Best Practices
Application Deployment & Scaling
DevOps & Agile Methodologies
Cloud Cost Optimization
High Availability & Disaster Recovery

Tools Covered:

Microsoft Azure Portal
Azure Virtual Machines (VMs)
Azure Virtual Network (VNet)
Azure Load Balancer
Azure Firewall
Azure Key Vault
Azure AI Foundry
Azure OpenAI Service
Azure Monitor
Log Analytics
Azure DevOps
GitHub
GitHub Actions
Docker
Kubernetes (AKS)
Terraform
Visual Studio Code (VS Code)
Git
PowerShell

Syllabus:

Module 1: Microsoft Azure Fundamentals

Azure Architecture & Core Services
Resource Groups & Subscription Management
Virtual Machines, Storage & Networking

Module 2: Azure Networking & Security

Virtual Networks (VNet), Subnets & NSG
Azure Firewall, Load Balancer & VPN Gateway
RBAC, Azure AD & Key Vault

Module 3: Azure AI Infrastructure

AI Infrastructure Setup
GPU Virtual Machines
AI Compute Resources & Model Hosting

Module 4: Azure AI Foundry & Azure OpenAI

Azure AI Foundry
Azure OpenAI Service
Prompt Engineering & AI Applications

Module 5: Docker Containerization

Docker Installation & Architecture
Images, Containers & Docker Compose
Docker Registry & Best Practices

Module 6: Kubernetes (AKS)

Kubernetes Architecture
Azure Kubernetes Service (AKS)
Pods, Deployments, Services & Ingress

Module 7: Terraform (Infrastructure as Code)

Terraform Fundamentals
Providers, Variables & Modules
Infrastructure Automation

Module 8: Azure DevOps & GitHub Actions

Azure Repos & Pipelines
GitHub Actions Workflows
CI/CD Pipeline Implementation

Module 9: Monitoring & Cloud Operations

Azure Monitor & Log Analytics
Application Insights
Alerts, Performance & Troubleshooting

Module 10: Real-Time Projects & Career Preparation

Enterprise Cloud Deployment
DevOps Automation Projects
Resume Building, Mock Interviews & Placement Assistance

Industry Projects:

Project 1: Azure Cloud Infrastructure Deployment

Deploy and manage secure Azure resources
Configure Virtual Networks, VMs, and Storage

Project 2: Enterprise Hub & Spoke Network

Design scalable Azure networking
Implement VPN Gateway, NSG, and Load Balancer

Project 3: AI Infrastructure on Microsoft Azure

Provision GPU-enabled infrastructure
Deploy AI workloads and model hosting

Project 4: Azure OpenAI & AI Foundry Integration

Build AI-powered applications
Integrate Azure OpenAI APIs and Prompt Flow

Project 5: Docker & Kubernetes (AKS) Deployment

Containerize applications with Docker
Deploy and manage applications on AKS

Who is this program for?

Students & Fresh Graduates
IT Professionals
System Administrators
Cloud & DevOps Engineers
Software Developers
Infrastructure Engineers
Network & Security Engineers
Technical Support Professionals
AI & Cloud Enthusiasts

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com

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Email: info@coursedivine.com
WhatsApp: +91 9100348679.

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