Course Format & Delivery Details Designed for Maximum Flexibility, Clarity, and Real-World Impact
This premium learning experience is meticulously structured to deliver deep mastery of Azure Virtual Machines in the context of enterprise scalability and artificial intelligence integration. Every element is designed to maximise your return on time and investment, with absolute transparency and zero friction. Self-Paced, On-Demand Access with Immediate Start
Begin the moment you're ready. This is a self-paced program accessible entirely online, with no fixed start dates, no weekly schedules, and no time zone constraints. Learn at your speed, on your terms, fitting progress seamlessly into your professional life. Real Results in Real Time
Most learners complete the core content within 4 to 6 weeks when dedicating 6 to 8 hours per week. However, you can move faster or slower based on your background and goals. The first actionable insights are typically gained within the first module, allowing you to begin applying enterprise-grade configurations and optimisations almost immediately. Lifetime Access with Continuous, No-Cost Updates
Once enrolled, you receive permanent access to all course materials. As Azure evolves, so does this training. All future updates, new content, and advanced guidance are included at no additional charge. You're not buying a static product - you're gaining a living, evolving resource that stays current with Microsoft's roadmap and enterprise demands. Available Anytime, Anywhere, on Any Device
Access the full curriculum 24/7 from around the globe. The platform is fully mobile-friendly, ensuring seamless progression whether you're at your desk, commuting, or working remotely. Study on your laptop, tablet, or smartphone without compromise to layout, navigation, or content depth. Direct Instructor Support and Expert Guidance
You are not learning in isolation. Receive prompt, expert-level guidance from our certified Azure architects through a dedicated support channel. Whether you're troubleshooting VM configurations, designing scalable clusters, or integrating AI inference layers, your questions are answered by practitioners with deep enterprise implementation experience. Certificate of Completion Issued by The Art of Service
Upon successful completion, you will earn a Certificate of Completion issued by The Art of Service. This credential is globally recognised and respected across IT, cloud, and digital transformation communities. It validates your advanced skills in Azure Virtual Machines, enterprise scalability planning, and AI-ready infrastructure deployment, enhancing your professional credibility and career mobility. Simple, Transparent Pricing - No Hidden Fees
The investment is straightforward and all-inclusive. There are no subscription traps, no upsells, and no surprise charges. What you see is exactly what you get - lifetime access, continuous updates, expert support, and certification, all for one clear price. Accepted Payment Methods
- Visa
- Mastercard
- PayPal
100% Money-Back Guarantee - Enrol with Zero Risk
We stand behind the value of this program with a complete money-back guarantee. If at any point you feel the course does not meet your expectations, simply request a refund. Your satisfaction is guaranteed, eliminating every ounce of risk from your decision to invest in your future. Secure Enrollment Process with Confirmation and Access Workflow
After enrollment, you will receive a confirmation email acknowledging your participation. Your access credentials and learning portal details will be delivered separately, ensuring a smooth onboarding process once all materials are prepared for optimal learning. This Course Works - Even If You’ve Struggled Before
This course works even if you've taken other cloud training and still felt unprepared for real enterprise environments. The difference is in the precision, depth, and implementation focus. We don’t teach theory - we teach you exactly how Azure VMs are deployed, scaled, secured, and integrated in Fortune 500 settings and AI-driven platforms. For Azure Administrators, this means gaining confidence to lead VM optimisation projects. For Cloud Architects, it delivers frameworks for designing elastic, cost-efficient, AI-ready compute layers. For DevOps Engineers, it unlocks automation strategies that reduce deployment time by over 60%. For IT Leaders, it provides the technical clarity to evaluate cloud strategies and vendor proposals with authority. - A Senior Cloud Engineer used these methods to redesign their company's VM footprint, reducing monthly Azure spend by $42,000 while improving performance under load.
- A Solutions Architect applied the AI integration patterns to deploy scalable machine learning inference endpoints, cutting model response time by 78%.
- A Systems Administrator transitioned into a cloud-focused role within three months of completing the program, citing the certification and hands-on labs as key differentiators in interviews.
This is not just knowledge - it’s leverage. With lifetime access, expert guidance, a globally recognised certificate, and a risk-free guarantee, you are positioned to accelerate your career with confidence. The tools, strategies, and credibility you need are within reach. Enrol today, and start building the enterprise-ready Azure expertise that top employers demand.
Extensive & Detailed Course Curriculum
Module 1: Foundations of Azure Virtual Machines and Enterprise Cloud Strategy - Introduction to Azure Compute Options and the Role of Virtual Machines
- Understanding the Azure Global Infrastructure and Region Selection
- Core Components of an Azure VM Architecture
- Navigating the Azure Portal and Azure CLI for VM Management
- Differences Between Azure VMs, Containers, and Serverless
- Selecting the Right VM Series and Sizes for Enterprise Workloads
- Understanding Azure Resource Manager (ARM) and Deployment Models
- Resource Groups and Tagging Best Practices for Organisational Clarity
- The Strategic Role of VMs in Hybrid and Multi-Cloud Environments
- Aligning VM Deployment with Business Continuity and Disaster Recovery Objectives
- Estimating Costs with the Azure Pricing Calculator
- Planning for Reserved Instances and Spot VMs to Reduce Costs
- Setting Up Azure Accounts and Configuring Management Access
- Role-Based Access Control (RBAC) for Secure VM Deployment
- Introduction to Azure Policies for Governance and Compliance
- Understanding Azure Support Plans and Incident Management
- Creating Your First VM Using ARM Templates
- Boot Diagnostics and Initial VM Troubleshooting
- Networking Fundamentals: Virtual Networks and Subnets
- Public vs Private IP Addresses in Azure VM Deployments
Module 2: Advanced VM Configuration and Performance Optimisation - Disks in Azure: Managed vs Unmanaged, Premium vs Standard
- Configuring Ultra Disk Storage for High-Performance Workloads
- Storage Accounts and Their Role in VM Data Persistence
- Optimising Disk IOPS and Throughput for Database Applications
- Sizing VMs for Memory, CPU, and Network-Intensive Tasks
- Numerical Series vs Memory-Optimised vs GPU VMs
- Selecting the Right VM SKU for AI Training and Inference
- Accelerated Networking and Its Impact on Application Latency
- Tuning VM Networking for Maximum Throughput
- Configuring NIC Teaming and Multiple Network Interfaces
- Understanding Placement Groups and Proximity for Low-Latency Clusters
- High-Frequency Options for Financial and Trading Systems
- Changing VM Sizes and Vertical Scaling Strategies
- Boot Time Optimisation and Fast Restart Techniques
- Windows vs Linux VM Performance Characteristics
- Custom Images and Shared Image Galleries for Rapid Deployment
- VM Extensions and Their Role in Automating Configuration
- Applying Security Patches and Updates at Scale
- Using Run Commands for Remote Script Execution
- Preemption and Handling Interruptions in Spot VMs
Module 3: Enterprise-Grade Networking and Security Frameworks - Designing Scalable Virtual Networks for Multi-Tier Applications
- Subnet Planning and IP Address Management (IPAM)
- Network Security Groups (NSGs) and Application Security Groups (ASGs)
- Using NSGs to Enforce Least-Privilege Access
- Application Gateway Integration for Layer 7 Load Balancing
- Configuring Internal and External Load Balancers for VMs
- Setting Up High Availability with Availability Sets and Zones
- DNS Resolution in Azure: Private vs Public Zones
- Configuring Custom DNS Servers for Hybrid Connectivity
- Private Endpoints and Private Link for Secure Data Access
- Azure Firewall Deployment for East-West and North-South Traffic
- Network Watcher and Traffic Analytics for Performance Monitoring
- Diagnosing Connectivity Issues with Connection Troubleshooter
- VNet Peering for Cross-Region and Cross-Tenant Access
- ExpressRoute Fundamentals for Dedicated Private Connectivity
- Site-to-Site VPN Configuration for On-Premises Integration
- Point-to-Site VPN for Secure Remote Access
- Using NSG Flow Logs for Threat Detection and Forensics
- Implementing DDoS Protection Standard for VM Workloads
- Zero Trust Principles in Azure VM Access Design
Module 4: Identity, Access Management, and Compliance - Azure Active Directory and VM Authentication Integration
- Configuring Azure AD Login for Windows and Linux VMs
- SSH Key Management for Linux VMs in Enterprise Settings
- Just-In-Time VM Access (JIT) with Azure Security Center
- Just-Enough-Access (JEA) Principles in VM Administration
- Managed Identities for Applications Running on VMs
- Securing Secrets with Azure Key Vault Integration
- Rotating Credentials and Certificates Automatically
- Integrating with On-Premises Identity Systems via Azure AD Connect
- Conditional Access Policies for Admin Access to VMs
- Auditing User Activity with Azure Monitor and Log Analytics
- Role Definitions and Custom RBAC Roles for VM Operations
- Defining Least-Privilege Roles for Dev, Test, and Prod Environments
- Implementing Governance with Azure Blueprints
- Using Azure Policy to Enforce VM Security Standards
- Regulatory Compliance: GDPR, HIPAA, SOC 2, ISO 27001 Alignment
- Compliance Dashboard and Regulatory Reporting in Azure
- Tagging Strategy for Chargeback and Billing Transparency
- Monitoring VM Compliance with Azure Security Benchmark
- Enabling Guest-Level Monitoring for Windows and Linux
Module 5: Automation, Orchestration, and Infrastructure as Code - Introduction to Infrastructure as Code (IaC) with ARM Templates
- Creating Reusable ARM Templates for VM Deployments
- Using Parameters, Variables, and Outputs in ARM Templates
- Nesting Templates for Complex Enterprise Architectures
- Deploying VMs with Bicep: A Simplified IaC Language
- Comparing Bicep vs ARM Templates vs Terraform
- Setting Up CI/CD Pipelines for VM Provisioning
- Using Azure DevOps for Automated VM Deployment
- GitHub Actions Integration for Cloud Infrastructure Automation
- Creating Deployment Stacks for Multi-Environment Management
- Version Controlling Your Infrastructure Code
- Using PowerShell for Automating VM Tasks
- Automating VM Backup and Restore with PowerShell Scripts
- Using Azure CLI in Bash and Cloud Shell for Automation
- Scheduling VM Start/Stop with Azure Automation
- Runbooks for Self-Healing and Incident Response
- Logic Apps for Orchestrating Multi-System Workflows
- Event-Driven Automation with Azure Event Grid
- Monitoring Automation Jobs and Troubleshooting Failures
- Creating Idempotent Scripts for Reliable Deployment
Module 6: Scalability, High Availability, and Business Continuity - Designing for High Availability with Availability Sets
- Planning Update and Fault Domains for VM Resilience
- Using Availability Zones for Zone-Redundant Deployments
- Region Pairs and Geo-Redundancy in Azure
- VM Scale Sets for Automatic Horizontal Scaling
- Customising Scale Rules Based on CPU, Memory, or Custom Metrics
- Using Application Insights to Trigger Auto-Scaling
- Scale-In and Scale-Out Policies for Cost Efficiency
- Load Balancer Integration with VM Scale Sets
- Orchestration Modes: Uniform vs Flexible for Scale Sets
- Preparing Images for Golden VM Scale Set Templates
- Rolling Upgrades and Health Probes for Zero-Downtime Updates
- Disaster Recovery Planning with Azure Site Recovery
- Replicating On-Premises VMs to Azure
- Failing Over and Failing Back: DR Execution and Testing
- Backup and Restore Workflows with Azure Backup
- Long-Term Retention Policies and Compliance Archiving
- Point-in-Time Recovery for File-Level Restoration
- Automating Backup with Protection Policies
- Monitoring Backup Health with Recovery Services Vault
Module 7: Monitoring, Diagnostics, and Performance Management - Enabling Azure Monitor for VMs (Insights)
- Installing VM Agents and Dependency Agents
- Collecting Performance Counters for Windows and Linux
- Setting Up Log Analytics Workspace for Centralised Logs
- Writing Kusto Query Language (KQL) for Log Analysis
- Creating Custom Dashboards for VM Health Overview
- Setting Up Alert Rules for CPU, Memory, Disk, and Network
- Using Action Groups for Email, SMS, and Webhook Notifications
- Correlating Events Across Multiple VMs and Services
- Analysing Boot Failures with Serial Console Logs
- Using Metrics Explorer for Trend Analysis
- Setting Up Smart Detectors for Anomaly Detection
- Performance Troubleshooting Methodology
- Identifying Bottlenecks in CPU, Memory, Disk, or Network
- Using Process Explorer and Top Commands in Context
- Monitoring VM Extensions and Their Health Status
- Analysing Update Compliance and Patch Status
- Exporting Logs to Storage or Event Hubs
- Integrating with SIEM Tools like Splunk and Sentinel
- Creating Scheduled Reports for Operational Reviews
Module 8: AI-Ready Infrastructure with Azure VMs - Understanding AI Workload Requirements in Enterprise
- GPU-Enabled VMs: NC, ND, and NV Series for AI Training
- Selecting the Right VM for Deep Learning and Inference
- Configuring NCasT4_v3 and ND A100 v4 for Large Models
- Installing CUDA, cuDNN, and AI Frameworks on Linux VMs
- Deploying TensorFlow and PyTorch in Azure VM Environments
- Setting Up Jupyter Notebooks on Secure VM Instances
- Using Azure ML Compute Instances vs Custom VMs
- Integrating VMs with Azure Machine Learning Studio
- Automating Model Training Workflows with Scripts
- Scaling AI Training with Multiple GPU VMs
- Distributed Training with Horovod and MPI
- Optimising Data Pipeline Latency for AI Models
- Using Azure Blob Storage and Data Lake with AI VMs
- Mounting High-Throughput Storage for Training Data
- Securing AI Environments with Network Isolation
- Monitoring GPU Utilisation and Memory Usage
- Cost-Optimisation Strategies for AI Training Clusters
- Using Spot VMs for Non-Critical AI Jobs
- Automated Shutdown of Idle AI Development VMs
Module 9: Enterprise Integration and Hybrid Cloud Patterns - Extending On-Premises Data Centres to Azure with VMs
- Designing Hybrid Identity for Cross-Environment Access
- Using Azure Arc to Manage On-Premises VMs
- Deploying Azure Arc-Enabled Servers at Scale
- Applying Policies and Configurations via Azure Arc
- Synchronising Configuration State with Desired State Configuration (DSC)
- Integrating Azure VMs with On-Premises Active Directory
- Connecting via ExpressRoute with Private Peering
- Ensuring Low Latency for Real-Time Hybrid Applications
- Migrating Physical and Virtual Servers with Azure Migrate
- Assessing Dependencies and Performance for VM Migration
- Performing Agentless and Agent-Based Replication
- Testing and Validating Migration Scenarios
- Cutover Planning and Execution
- Retiring Legacy Systems Post-Migration
- Integrating VMs with Azure DevTest Labs for Enterprise
- Setting Up Lab Accounts and Policies
- Automating VM Deployment in Development Environments
- Enforcing Quotas and Cost Controls in Dev/Test
- Collaboration Features for Team-Based Development
Module 10: Optimisation, Cost Management, and Financial Governance - Understanding Azure Total Cost of Ownership (TCO)
- Using Azure Cost Management and Billing Dashboard
- Analysing VM Spending by Resource, Team, or Department
- Setting Up Budgets and Spending Alerts
- Identifying Underutilised VMs and Right-Sizing Opportunities
- Automating Right-Sizing Recommendations
- Leveraging Azure Advisor for Cost and Performance Tips
- Implementing Shutdown Schedules for Non-Production VMs
- Using Reserved Instances for Predictable Workloads
- Purchase Planning for 1-Year vs 3-Year Reservations
- Combining Reservations with Shared Tenancy for Savings
- Using Spot VMs for Fault-Tolerant, Batch, and AI Workloads
- Managing Spot VM Interruption Risks with Checkpointing
- Tagging Strategy for Departmental Chargeback and Showback
- Exporting Cost Data to Power BI for Visual Reporting
- Integrating with Enterprise Financial Systems
- Negotiating Enterprise Agreements with Microsoft
- Understanding Licensing Models: Bring-Your-Own-License (BYOL)
- Using Azure Hybrid Benefit for Windows and SQL Server
- Calculating ROI on Cloud Optimisation Initiatives
Module 11: Real-World Implementation Projects and Hands-On Labs - Project 1: Deploy and Secure a Multi-Tier Web Application on VMs
- Project 2: Automate the Provisioning of a Development Environment
- Project 3: Build a Scalable AI Inference Cluster with GPU VMs
- Project 4: Design a Hybrid Architecture with On-Premises Integration
- Project 5: Migrate a Legacy Application to Azure with Azure Migrate
- Lab 1: Create and Configure a Linux VM with Custom Script Extension
- Lab 2: Set Up a Windows VM with Monitoring and Backup Enabled
- Lab 3: Deploy a VM Scale Set with Auto-Scaling Rules
- Lab 4: Implement JIT Access and NSG Rules for Zero Trust
- Lab 5: Use Bicep to Deploy a Fully Configured VM Environment
- Lab 6: Configure Azure Backup and Test a Restore Scenario
- Lab 7: Monitor VM Performance with Custom KQL Queries
- Lab 8: Integrate a VM with Azure Key Vault for Secrets Management
- Lab 9: Deploy a Jupyter Server on a GPU VM for AI Exploration
- Lab 10: Set Up Cost Alerts and Right-Size a Running VM
- Lab 11: Implement Azure Arc for Cross-Cloud VM Management
- Lab 12: Build a CI/CD Pipeline for VM Image Deployment
- Lab 13: Configure Private Endpoint for Secure Database Access
- Lab 14: Simulate a Disaster Recovery Failover
- Lab 15: Analyse VM Logs for Security Incidents
Module 12: Certification, Career Advancement, and Next Steps - Preparing for Industry Certifications: Azure Administrator (AZ-104)
- Mapping Course Content to Microsoft Learn Paths
- Bridging to Azure Architect (AZ-305) and DevOps Engineer (AZ-400)
- Building a Professional Portfolio with Project Evidence
- Using the Certificate of Completion in Resumes and LinkedIn
- Strategic Positioning for Cloud Roles in Enterprise Hiring
- Negotiating Salary Based on Demonstrate Azure Expertise
- Contributing to Open Source and Community Projects
- Joining Azure User Groups and Technical Forums
- Continuing Education: Staying Ahead of Azure Updates
- Accessing Exclusive Resources from The Art of Service
- Networking with Certified Peers and Industry Experts
- Mentorship Opportunities and Advanced Learning Paths
- Transitioning from General IT to Cloud-Specialised Roles
- Leading Cloud Transformation Initiatives in Your Organisation
- Becoming a Trusted Advisor on Azure Infrastructure Decisions
- Documenting Architecture Patterns and Best Practices
- Presenting Technical Designs to Stakeholders and Executives
- Evolving from Operator to Strategist in Cloud Planning
- Final Assessment and Certification of Completion Process
Module 1: Foundations of Azure Virtual Machines and Enterprise Cloud Strategy - Introduction to Azure Compute Options and the Role of Virtual Machines
- Understanding the Azure Global Infrastructure and Region Selection
- Core Components of an Azure VM Architecture
- Navigating the Azure Portal and Azure CLI for VM Management
- Differences Between Azure VMs, Containers, and Serverless
- Selecting the Right VM Series and Sizes for Enterprise Workloads
- Understanding Azure Resource Manager (ARM) and Deployment Models
- Resource Groups and Tagging Best Practices for Organisational Clarity
- The Strategic Role of VMs in Hybrid and Multi-Cloud Environments
- Aligning VM Deployment with Business Continuity and Disaster Recovery Objectives
- Estimating Costs with the Azure Pricing Calculator
- Planning for Reserved Instances and Spot VMs to Reduce Costs
- Setting Up Azure Accounts and Configuring Management Access
- Role-Based Access Control (RBAC) for Secure VM Deployment
- Introduction to Azure Policies for Governance and Compliance
- Understanding Azure Support Plans and Incident Management
- Creating Your First VM Using ARM Templates
- Boot Diagnostics and Initial VM Troubleshooting
- Networking Fundamentals: Virtual Networks and Subnets
- Public vs Private IP Addresses in Azure VM Deployments
Module 2: Advanced VM Configuration and Performance Optimisation - Disks in Azure: Managed vs Unmanaged, Premium vs Standard
- Configuring Ultra Disk Storage for High-Performance Workloads
- Storage Accounts and Their Role in VM Data Persistence
- Optimising Disk IOPS and Throughput for Database Applications
- Sizing VMs for Memory, CPU, and Network-Intensive Tasks
- Numerical Series vs Memory-Optimised vs GPU VMs
- Selecting the Right VM SKU for AI Training and Inference
- Accelerated Networking and Its Impact on Application Latency
- Tuning VM Networking for Maximum Throughput
- Configuring NIC Teaming and Multiple Network Interfaces
- Understanding Placement Groups and Proximity for Low-Latency Clusters
- High-Frequency Options for Financial and Trading Systems
- Changing VM Sizes and Vertical Scaling Strategies
- Boot Time Optimisation and Fast Restart Techniques
- Windows vs Linux VM Performance Characteristics
- Custom Images and Shared Image Galleries for Rapid Deployment
- VM Extensions and Their Role in Automating Configuration
- Applying Security Patches and Updates at Scale
- Using Run Commands for Remote Script Execution
- Preemption and Handling Interruptions in Spot VMs
Module 3: Enterprise-Grade Networking and Security Frameworks - Designing Scalable Virtual Networks for Multi-Tier Applications
- Subnet Planning and IP Address Management (IPAM)
- Network Security Groups (NSGs) and Application Security Groups (ASGs)
- Using NSGs to Enforce Least-Privilege Access
- Application Gateway Integration for Layer 7 Load Balancing
- Configuring Internal and External Load Balancers for VMs
- Setting Up High Availability with Availability Sets and Zones
- DNS Resolution in Azure: Private vs Public Zones
- Configuring Custom DNS Servers for Hybrid Connectivity
- Private Endpoints and Private Link for Secure Data Access
- Azure Firewall Deployment for East-West and North-South Traffic
- Network Watcher and Traffic Analytics for Performance Monitoring
- Diagnosing Connectivity Issues with Connection Troubleshooter
- VNet Peering for Cross-Region and Cross-Tenant Access
- ExpressRoute Fundamentals for Dedicated Private Connectivity
- Site-to-Site VPN Configuration for On-Premises Integration
- Point-to-Site VPN for Secure Remote Access
- Using NSG Flow Logs for Threat Detection and Forensics
- Implementing DDoS Protection Standard for VM Workloads
- Zero Trust Principles in Azure VM Access Design
Module 4: Identity, Access Management, and Compliance - Azure Active Directory and VM Authentication Integration
- Configuring Azure AD Login for Windows and Linux VMs
- SSH Key Management for Linux VMs in Enterprise Settings
- Just-In-Time VM Access (JIT) with Azure Security Center
- Just-Enough-Access (JEA) Principles in VM Administration
- Managed Identities for Applications Running on VMs
- Securing Secrets with Azure Key Vault Integration
- Rotating Credentials and Certificates Automatically
- Integrating with On-Premises Identity Systems via Azure AD Connect
- Conditional Access Policies for Admin Access to VMs
- Auditing User Activity with Azure Monitor and Log Analytics
- Role Definitions and Custom RBAC Roles for VM Operations
- Defining Least-Privilege Roles for Dev, Test, and Prod Environments
- Implementing Governance with Azure Blueprints
- Using Azure Policy to Enforce VM Security Standards
- Regulatory Compliance: GDPR, HIPAA, SOC 2, ISO 27001 Alignment
- Compliance Dashboard and Regulatory Reporting in Azure
- Tagging Strategy for Chargeback and Billing Transparency
- Monitoring VM Compliance with Azure Security Benchmark
- Enabling Guest-Level Monitoring for Windows and Linux
Module 5: Automation, Orchestration, and Infrastructure as Code - Introduction to Infrastructure as Code (IaC) with ARM Templates
- Creating Reusable ARM Templates for VM Deployments
- Using Parameters, Variables, and Outputs in ARM Templates
- Nesting Templates for Complex Enterprise Architectures
- Deploying VMs with Bicep: A Simplified IaC Language
- Comparing Bicep vs ARM Templates vs Terraform
- Setting Up CI/CD Pipelines for VM Provisioning
- Using Azure DevOps for Automated VM Deployment
- GitHub Actions Integration for Cloud Infrastructure Automation
- Creating Deployment Stacks for Multi-Environment Management
- Version Controlling Your Infrastructure Code
- Using PowerShell for Automating VM Tasks
- Automating VM Backup and Restore with PowerShell Scripts
- Using Azure CLI in Bash and Cloud Shell for Automation
- Scheduling VM Start/Stop with Azure Automation
- Runbooks for Self-Healing and Incident Response
- Logic Apps for Orchestrating Multi-System Workflows
- Event-Driven Automation with Azure Event Grid
- Monitoring Automation Jobs and Troubleshooting Failures
- Creating Idempotent Scripts for Reliable Deployment
Module 6: Scalability, High Availability, and Business Continuity - Designing for High Availability with Availability Sets
- Planning Update and Fault Domains for VM Resilience
- Using Availability Zones for Zone-Redundant Deployments
- Region Pairs and Geo-Redundancy in Azure
- VM Scale Sets for Automatic Horizontal Scaling
- Customising Scale Rules Based on CPU, Memory, or Custom Metrics
- Using Application Insights to Trigger Auto-Scaling
- Scale-In and Scale-Out Policies for Cost Efficiency
- Load Balancer Integration with VM Scale Sets
- Orchestration Modes: Uniform vs Flexible for Scale Sets
- Preparing Images for Golden VM Scale Set Templates
- Rolling Upgrades and Health Probes for Zero-Downtime Updates
- Disaster Recovery Planning with Azure Site Recovery
- Replicating On-Premises VMs to Azure
- Failing Over and Failing Back: DR Execution and Testing
- Backup and Restore Workflows with Azure Backup
- Long-Term Retention Policies and Compliance Archiving
- Point-in-Time Recovery for File-Level Restoration
- Automating Backup with Protection Policies
- Monitoring Backup Health with Recovery Services Vault
Module 7: Monitoring, Diagnostics, and Performance Management - Enabling Azure Monitor for VMs (Insights)
- Installing VM Agents and Dependency Agents
- Collecting Performance Counters for Windows and Linux
- Setting Up Log Analytics Workspace for Centralised Logs
- Writing Kusto Query Language (KQL) for Log Analysis
- Creating Custom Dashboards for VM Health Overview
- Setting Up Alert Rules for CPU, Memory, Disk, and Network
- Using Action Groups for Email, SMS, and Webhook Notifications
- Correlating Events Across Multiple VMs and Services
- Analysing Boot Failures with Serial Console Logs
- Using Metrics Explorer for Trend Analysis
- Setting Up Smart Detectors for Anomaly Detection
- Performance Troubleshooting Methodology
- Identifying Bottlenecks in CPU, Memory, Disk, or Network
- Using Process Explorer and Top Commands in Context
- Monitoring VM Extensions and Their Health Status
- Analysing Update Compliance and Patch Status
- Exporting Logs to Storage or Event Hubs
- Integrating with SIEM Tools like Splunk and Sentinel
- Creating Scheduled Reports for Operational Reviews
Module 8: AI-Ready Infrastructure with Azure VMs - Understanding AI Workload Requirements in Enterprise
- GPU-Enabled VMs: NC, ND, and NV Series for AI Training
- Selecting the Right VM for Deep Learning and Inference
- Configuring NCasT4_v3 and ND A100 v4 for Large Models
- Installing CUDA, cuDNN, and AI Frameworks on Linux VMs
- Deploying TensorFlow and PyTorch in Azure VM Environments
- Setting Up Jupyter Notebooks on Secure VM Instances
- Using Azure ML Compute Instances vs Custom VMs
- Integrating VMs with Azure Machine Learning Studio
- Automating Model Training Workflows with Scripts
- Scaling AI Training with Multiple GPU VMs
- Distributed Training with Horovod and MPI
- Optimising Data Pipeline Latency for AI Models
- Using Azure Blob Storage and Data Lake with AI VMs
- Mounting High-Throughput Storage for Training Data
- Securing AI Environments with Network Isolation
- Monitoring GPU Utilisation and Memory Usage
- Cost-Optimisation Strategies for AI Training Clusters
- Using Spot VMs for Non-Critical AI Jobs
- Automated Shutdown of Idle AI Development VMs
Module 9: Enterprise Integration and Hybrid Cloud Patterns - Extending On-Premises Data Centres to Azure with VMs
- Designing Hybrid Identity for Cross-Environment Access
- Using Azure Arc to Manage On-Premises VMs
- Deploying Azure Arc-Enabled Servers at Scale
- Applying Policies and Configurations via Azure Arc
- Synchronising Configuration State with Desired State Configuration (DSC)
- Integrating Azure VMs with On-Premises Active Directory
- Connecting via ExpressRoute with Private Peering
- Ensuring Low Latency for Real-Time Hybrid Applications
- Migrating Physical and Virtual Servers with Azure Migrate
- Assessing Dependencies and Performance for VM Migration
- Performing Agentless and Agent-Based Replication
- Testing and Validating Migration Scenarios
- Cutover Planning and Execution
- Retiring Legacy Systems Post-Migration
- Integrating VMs with Azure DevTest Labs for Enterprise
- Setting Up Lab Accounts and Policies
- Automating VM Deployment in Development Environments
- Enforcing Quotas and Cost Controls in Dev/Test
- Collaboration Features for Team-Based Development
Module 10: Optimisation, Cost Management, and Financial Governance - Understanding Azure Total Cost of Ownership (TCO)
- Using Azure Cost Management and Billing Dashboard
- Analysing VM Spending by Resource, Team, or Department
- Setting Up Budgets and Spending Alerts
- Identifying Underutilised VMs and Right-Sizing Opportunities
- Automating Right-Sizing Recommendations
- Leveraging Azure Advisor for Cost and Performance Tips
- Implementing Shutdown Schedules for Non-Production VMs
- Using Reserved Instances for Predictable Workloads
- Purchase Planning for 1-Year vs 3-Year Reservations
- Combining Reservations with Shared Tenancy for Savings
- Using Spot VMs for Fault-Tolerant, Batch, and AI Workloads
- Managing Spot VM Interruption Risks with Checkpointing
- Tagging Strategy for Departmental Chargeback and Showback
- Exporting Cost Data to Power BI for Visual Reporting
- Integrating with Enterprise Financial Systems
- Negotiating Enterprise Agreements with Microsoft
- Understanding Licensing Models: Bring-Your-Own-License (BYOL)
- Using Azure Hybrid Benefit for Windows and SQL Server
- Calculating ROI on Cloud Optimisation Initiatives
Module 11: Real-World Implementation Projects and Hands-On Labs - Project 1: Deploy and Secure a Multi-Tier Web Application on VMs
- Project 2: Automate the Provisioning of a Development Environment
- Project 3: Build a Scalable AI Inference Cluster with GPU VMs
- Project 4: Design a Hybrid Architecture with On-Premises Integration
- Project 5: Migrate a Legacy Application to Azure with Azure Migrate
- Lab 1: Create and Configure a Linux VM with Custom Script Extension
- Lab 2: Set Up a Windows VM with Monitoring and Backup Enabled
- Lab 3: Deploy a VM Scale Set with Auto-Scaling Rules
- Lab 4: Implement JIT Access and NSG Rules for Zero Trust
- Lab 5: Use Bicep to Deploy a Fully Configured VM Environment
- Lab 6: Configure Azure Backup and Test a Restore Scenario
- Lab 7: Monitor VM Performance with Custom KQL Queries
- Lab 8: Integrate a VM with Azure Key Vault for Secrets Management
- Lab 9: Deploy a Jupyter Server on a GPU VM for AI Exploration
- Lab 10: Set Up Cost Alerts and Right-Size a Running VM
- Lab 11: Implement Azure Arc for Cross-Cloud VM Management
- Lab 12: Build a CI/CD Pipeline for VM Image Deployment
- Lab 13: Configure Private Endpoint for Secure Database Access
- Lab 14: Simulate a Disaster Recovery Failover
- Lab 15: Analyse VM Logs for Security Incidents
Module 12: Certification, Career Advancement, and Next Steps - Preparing for Industry Certifications: Azure Administrator (AZ-104)
- Mapping Course Content to Microsoft Learn Paths
- Bridging to Azure Architect (AZ-305) and DevOps Engineer (AZ-400)
- Building a Professional Portfolio with Project Evidence
- Using the Certificate of Completion in Resumes and LinkedIn
- Strategic Positioning for Cloud Roles in Enterprise Hiring
- Negotiating Salary Based on Demonstrate Azure Expertise
- Contributing to Open Source and Community Projects
- Joining Azure User Groups and Technical Forums
- Continuing Education: Staying Ahead of Azure Updates
- Accessing Exclusive Resources from The Art of Service
- Networking with Certified Peers and Industry Experts
- Mentorship Opportunities and Advanced Learning Paths
- Transitioning from General IT to Cloud-Specialised Roles
- Leading Cloud Transformation Initiatives in Your Organisation
- Becoming a Trusted Advisor on Azure Infrastructure Decisions
- Documenting Architecture Patterns and Best Practices
- Presenting Technical Designs to Stakeholders and Executives
- Evolving from Operator to Strategist in Cloud Planning
- Final Assessment and Certification of Completion Process
- Disks in Azure: Managed vs Unmanaged, Premium vs Standard
- Configuring Ultra Disk Storage for High-Performance Workloads
- Storage Accounts and Their Role in VM Data Persistence
- Optimising Disk IOPS and Throughput for Database Applications
- Sizing VMs for Memory, CPU, and Network-Intensive Tasks
- Numerical Series vs Memory-Optimised vs GPU VMs
- Selecting the Right VM SKU for AI Training and Inference
- Accelerated Networking and Its Impact on Application Latency
- Tuning VM Networking for Maximum Throughput
- Configuring NIC Teaming and Multiple Network Interfaces
- Understanding Placement Groups and Proximity for Low-Latency Clusters
- High-Frequency Options for Financial and Trading Systems
- Changing VM Sizes and Vertical Scaling Strategies
- Boot Time Optimisation and Fast Restart Techniques
- Windows vs Linux VM Performance Characteristics
- Custom Images and Shared Image Galleries for Rapid Deployment
- VM Extensions and Their Role in Automating Configuration
- Applying Security Patches and Updates at Scale
- Using Run Commands for Remote Script Execution
- Preemption and Handling Interruptions in Spot VMs
Module 3: Enterprise-Grade Networking and Security Frameworks - Designing Scalable Virtual Networks for Multi-Tier Applications
- Subnet Planning and IP Address Management (IPAM)
- Network Security Groups (NSGs) and Application Security Groups (ASGs)
- Using NSGs to Enforce Least-Privilege Access
- Application Gateway Integration for Layer 7 Load Balancing
- Configuring Internal and External Load Balancers for VMs
- Setting Up High Availability with Availability Sets and Zones
- DNS Resolution in Azure: Private vs Public Zones
- Configuring Custom DNS Servers for Hybrid Connectivity
- Private Endpoints and Private Link for Secure Data Access
- Azure Firewall Deployment for East-West and North-South Traffic
- Network Watcher and Traffic Analytics for Performance Monitoring
- Diagnosing Connectivity Issues with Connection Troubleshooter
- VNet Peering for Cross-Region and Cross-Tenant Access
- ExpressRoute Fundamentals for Dedicated Private Connectivity
- Site-to-Site VPN Configuration for On-Premises Integration
- Point-to-Site VPN for Secure Remote Access
- Using NSG Flow Logs for Threat Detection and Forensics
- Implementing DDoS Protection Standard for VM Workloads
- Zero Trust Principles in Azure VM Access Design
Module 4: Identity, Access Management, and Compliance - Azure Active Directory and VM Authentication Integration
- Configuring Azure AD Login for Windows and Linux VMs
- SSH Key Management for Linux VMs in Enterprise Settings
- Just-In-Time VM Access (JIT) with Azure Security Center
- Just-Enough-Access (JEA) Principles in VM Administration
- Managed Identities for Applications Running on VMs
- Securing Secrets with Azure Key Vault Integration
- Rotating Credentials and Certificates Automatically
- Integrating with On-Premises Identity Systems via Azure AD Connect
- Conditional Access Policies for Admin Access to VMs
- Auditing User Activity with Azure Monitor and Log Analytics
- Role Definitions and Custom RBAC Roles for VM Operations
- Defining Least-Privilege Roles for Dev, Test, and Prod Environments
- Implementing Governance with Azure Blueprints
- Using Azure Policy to Enforce VM Security Standards
- Regulatory Compliance: GDPR, HIPAA, SOC 2, ISO 27001 Alignment
- Compliance Dashboard and Regulatory Reporting in Azure
- Tagging Strategy for Chargeback and Billing Transparency
- Monitoring VM Compliance with Azure Security Benchmark
- Enabling Guest-Level Monitoring for Windows and Linux
Module 5: Automation, Orchestration, and Infrastructure as Code - Introduction to Infrastructure as Code (IaC) with ARM Templates
- Creating Reusable ARM Templates for VM Deployments
- Using Parameters, Variables, and Outputs in ARM Templates
- Nesting Templates for Complex Enterprise Architectures
- Deploying VMs with Bicep: A Simplified IaC Language
- Comparing Bicep vs ARM Templates vs Terraform
- Setting Up CI/CD Pipelines for VM Provisioning
- Using Azure DevOps for Automated VM Deployment
- GitHub Actions Integration for Cloud Infrastructure Automation
- Creating Deployment Stacks for Multi-Environment Management
- Version Controlling Your Infrastructure Code
- Using PowerShell for Automating VM Tasks
- Automating VM Backup and Restore with PowerShell Scripts
- Using Azure CLI in Bash and Cloud Shell for Automation
- Scheduling VM Start/Stop with Azure Automation
- Runbooks for Self-Healing and Incident Response
- Logic Apps for Orchestrating Multi-System Workflows
- Event-Driven Automation with Azure Event Grid
- Monitoring Automation Jobs and Troubleshooting Failures
- Creating Idempotent Scripts for Reliable Deployment
Module 6: Scalability, High Availability, and Business Continuity - Designing for High Availability with Availability Sets
- Planning Update and Fault Domains for VM Resilience
- Using Availability Zones for Zone-Redundant Deployments
- Region Pairs and Geo-Redundancy in Azure
- VM Scale Sets for Automatic Horizontal Scaling
- Customising Scale Rules Based on CPU, Memory, or Custom Metrics
- Using Application Insights to Trigger Auto-Scaling
- Scale-In and Scale-Out Policies for Cost Efficiency
- Load Balancer Integration with VM Scale Sets
- Orchestration Modes: Uniform vs Flexible for Scale Sets
- Preparing Images for Golden VM Scale Set Templates
- Rolling Upgrades and Health Probes for Zero-Downtime Updates
- Disaster Recovery Planning with Azure Site Recovery
- Replicating On-Premises VMs to Azure
- Failing Over and Failing Back: DR Execution and Testing
- Backup and Restore Workflows with Azure Backup
- Long-Term Retention Policies and Compliance Archiving
- Point-in-Time Recovery for File-Level Restoration
- Automating Backup with Protection Policies
- Monitoring Backup Health with Recovery Services Vault
Module 7: Monitoring, Diagnostics, and Performance Management - Enabling Azure Monitor for VMs (Insights)
- Installing VM Agents and Dependency Agents
- Collecting Performance Counters for Windows and Linux
- Setting Up Log Analytics Workspace for Centralised Logs
- Writing Kusto Query Language (KQL) for Log Analysis
- Creating Custom Dashboards for VM Health Overview
- Setting Up Alert Rules for CPU, Memory, Disk, and Network
- Using Action Groups for Email, SMS, and Webhook Notifications
- Correlating Events Across Multiple VMs and Services
- Analysing Boot Failures with Serial Console Logs
- Using Metrics Explorer for Trend Analysis
- Setting Up Smart Detectors for Anomaly Detection
- Performance Troubleshooting Methodology
- Identifying Bottlenecks in CPU, Memory, Disk, or Network
- Using Process Explorer and Top Commands in Context
- Monitoring VM Extensions and Their Health Status
- Analysing Update Compliance and Patch Status
- Exporting Logs to Storage or Event Hubs
- Integrating with SIEM Tools like Splunk and Sentinel
- Creating Scheduled Reports for Operational Reviews
Module 8: AI-Ready Infrastructure with Azure VMs - Understanding AI Workload Requirements in Enterprise
- GPU-Enabled VMs: NC, ND, and NV Series for AI Training
- Selecting the Right VM for Deep Learning and Inference
- Configuring NCasT4_v3 and ND A100 v4 for Large Models
- Installing CUDA, cuDNN, and AI Frameworks on Linux VMs
- Deploying TensorFlow and PyTorch in Azure VM Environments
- Setting Up Jupyter Notebooks on Secure VM Instances
- Using Azure ML Compute Instances vs Custom VMs
- Integrating VMs with Azure Machine Learning Studio
- Automating Model Training Workflows with Scripts
- Scaling AI Training with Multiple GPU VMs
- Distributed Training with Horovod and MPI
- Optimising Data Pipeline Latency for AI Models
- Using Azure Blob Storage and Data Lake with AI VMs
- Mounting High-Throughput Storage for Training Data
- Securing AI Environments with Network Isolation
- Monitoring GPU Utilisation and Memory Usage
- Cost-Optimisation Strategies for AI Training Clusters
- Using Spot VMs for Non-Critical AI Jobs
- Automated Shutdown of Idle AI Development VMs
Module 9: Enterprise Integration and Hybrid Cloud Patterns - Extending On-Premises Data Centres to Azure with VMs
- Designing Hybrid Identity for Cross-Environment Access
- Using Azure Arc to Manage On-Premises VMs
- Deploying Azure Arc-Enabled Servers at Scale
- Applying Policies and Configurations via Azure Arc
- Synchronising Configuration State with Desired State Configuration (DSC)
- Integrating Azure VMs with On-Premises Active Directory
- Connecting via ExpressRoute with Private Peering
- Ensuring Low Latency for Real-Time Hybrid Applications
- Migrating Physical and Virtual Servers with Azure Migrate
- Assessing Dependencies and Performance for VM Migration
- Performing Agentless and Agent-Based Replication
- Testing and Validating Migration Scenarios
- Cutover Planning and Execution
- Retiring Legacy Systems Post-Migration
- Integrating VMs with Azure DevTest Labs for Enterprise
- Setting Up Lab Accounts and Policies
- Automating VM Deployment in Development Environments
- Enforcing Quotas and Cost Controls in Dev/Test
- Collaboration Features for Team-Based Development
Module 10: Optimisation, Cost Management, and Financial Governance - Understanding Azure Total Cost of Ownership (TCO)
- Using Azure Cost Management and Billing Dashboard
- Analysing VM Spending by Resource, Team, or Department
- Setting Up Budgets and Spending Alerts
- Identifying Underutilised VMs and Right-Sizing Opportunities
- Automating Right-Sizing Recommendations
- Leveraging Azure Advisor for Cost and Performance Tips
- Implementing Shutdown Schedules for Non-Production VMs
- Using Reserved Instances for Predictable Workloads
- Purchase Planning for 1-Year vs 3-Year Reservations
- Combining Reservations with Shared Tenancy for Savings
- Using Spot VMs for Fault-Tolerant, Batch, and AI Workloads
- Managing Spot VM Interruption Risks with Checkpointing
- Tagging Strategy for Departmental Chargeback and Showback
- Exporting Cost Data to Power BI for Visual Reporting
- Integrating with Enterprise Financial Systems
- Negotiating Enterprise Agreements with Microsoft
- Understanding Licensing Models: Bring-Your-Own-License (BYOL)
- Using Azure Hybrid Benefit for Windows and SQL Server
- Calculating ROI on Cloud Optimisation Initiatives
Module 11: Real-World Implementation Projects and Hands-On Labs - Project 1: Deploy and Secure a Multi-Tier Web Application on VMs
- Project 2: Automate the Provisioning of a Development Environment
- Project 3: Build a Scalable AI Inference Cluster with GPU VMs
- Project 4: Design a Hybrid Architecture with On-Premises Integration
- Project 5: Migrate a Legacy Application to Azure with Azure Migrate
- Lab 1: Create and Configure a Linux VM with Custom Script Extension
- Lab 2: Set Up a Windows VM with Monitoring and Backup Enabled
- Lab 3: Deploy a VM Scale Set with Auto-Scaling Rules
- Lab 4: Implement JIT Access and NSG Rules for Zero Trust
- Lab 5: Use Bicep to Deploy a Fully Configured VM Environment
- Lab 6: Configure Azure Backup and Test a Restore Scenario
- Lab 7: Monitor VM Performance with Custom KQL Queries
- Lab 8: Integrate a VM with Azure Key Vault for Secrets Management
- Lab 9: Deploy a Jupyter Server on a GPU VM for AI Exploration
- Lab 10: Set Up Cost Alerts and Right-Size a Running VM
- Lab 11: Implement Azure Arc for Cross-Cloud VM Management
- Lab 12: Build a CI/CD Pipeline for VM Image Deployment
- Lab 13: Configure Private Endpoint for Secure Database Access
- Lab 14: Simulate a Disaster Recovery Failover
- Lab 15: Analyse VM Logs for Security Incidents
Module 12: Certification, Career Advancement, and Next Steps - Preparing for Industry Certifications: Azure Administrator (AZ-104)
- Mapping Course Content to Microsoft Learn Paths
- Bridging to Azure Architect (AZ-305) and DevOps Engineer (AZ-400)
- Building a Professional Portfolio with Project Evidence
- Using the Certificate of Completion in Resumes and LinkedIn
- Strategic Positioning for Cloud Roles in Enterprise Hiring
- Negotiating Salary Based on Demonstrate Azure Expertise
- Contributing to Open Source and Community Projects
- Joining Azure User Groups and Technical Forums
- Continuing Education: Staying Ahead of Azure Updates
- Accessing Exclusive Resources from The Art of Service
- Networking with Certified Peers and Industry Experts
- Mentorship Opportunities and Advanced Learning Paths
- Transitioning from General IT to Cloud-Specialised Roles
- Leading Cloud Transformation Initiatives in Your Organisation
- Becoming a Trusted Advisor on Azure Infrastructure Decisions
- Documenting Architecture Patterns and Best Practices
- Presenting Technical Designs to Stakeholders and Executives
- Evolving from Operator to Strategist in Cloud Planning
- Final Assessment and Certification of Completion Process
- Azure Active Directory and VM Authentication Integration
- Configuring Azure AD Login for Windows and Linux VMs
- SSH Key Management for Linux VMs in Enterprise Settings
- Just-In-Time VM Access (JIT) with Azure Security Center
- Just-Enough-Access (JEA) Principles in VM Administration
- Managed Identities for Applications Running on VMs
- Securing Secrets with Azure Key Vault Integration
- Rotating Credentials and Certificates Automatically
- Integrating with On-Premises Identity Systems via Azure AD Connect
- Conditional Access Policies for Admin Access to VMs
- Auditing User Activity with Azure Monitor and Log Analytics
- Role Definitions and Custom RBAC Roles for VM Operations
- Defining Least-Privilege Roles for Dev, Test, and Prod Environments
- Implementing Governance with Azure Blueprints
- Using Azure Policy to Enforce VM Security Standards
- Regulatory Compliance: GDPR, HIPAA, SOC 2, ISO 27001 Alignment
- Compliance Dashboard and Regulatory Reporting in Azure
- Tagging Strategy for Chargeback and Billing Transparency
- Monitoring VM Compliance with Azure Security Benchmark
- Enabling Guest-Level Monitoring for Windows and Linux
Module 5: Automation, Orchestration, and Infrastructure as Code - Introduction to Infrastructure as Code (IaC) with ARM Templates
- Creating Reusable ARM Templates for VM Deployments
- Using Parameters, Variables, and Outputs in ARM Templates
- Nesting Templates for Complex Enterprise Architectures
- Deploying VMs with Bicep: A Simplified IaC Language
- Comparing Bicep vs ARM Templates vs Terraform
- Setting Up CI/CD Pipelines for VM Provisioning
- Using Azure DevOps for Automated VM Deployment
- GitHub Actions Integration for Cloud Infrastructure Automation
- Creating Deployment Stacks for Multi-Environment Management
- Version Controlling Your Infrastructure Code
- Using PowerShell for Automating VM Tasks
- Automating VM Backup and Restore with PowerShell Scripts
- Using Azure CLI in Bash and Cloud Shell for Automation
- Scheduling VM Start/Stop with Azure Automation
- Runbooks for Self-Healing and Incident Response
- Logic Apps for Orchestrating Multi-System Workflows
- Event-Driven Automation with Azure Event Grid
- Monitoring Automation Jobs and Troubleshooting Failures
- Creating Idempotent Scripts for Reliable Deployment
Module 6: Scalability, High Availability, and Business Continuity - Designing for High Availability with Availability Sets
- Planning Update and Fault Domains for VM Resilience
- Using Availability Zones for Zone-Redundant Deployments
- Region Pairs and Geo-Redundancy in Azure
- VM Scale Sets for Automatic Horizontal Scaling
- Customising Scale Rules Based on CPU, Memory, or Custom Metrics
- Using Application Insights to Trigger Auto-Scaling
- Scale-In and Scale-Out Policies for Cost Efficiency
- Load Balancer Integration with VM Scale Sets
- Orchestration Modes: Uniform vs Flexible for Scale Sets
- Preparing Images for Golden VM Scale Set Templates
- Rolling Upgrades and Health Probes for Zero-Downtime Updates
- Disaster Recovery Planning with Azure Site Recovery
- Replicating On-Premises VMs to Azure
- Failing Over and Failing Back: DR Execution and Testing
- Backup and Restore Workflows with Azure Backup
- Long-Term Retention Policies and Compliance Archiving
- Point-in-Time Recovery for File-Level Restoration
- Automating Backup with Protection Policies
- Monitoring Backup Health with Recovery Services Vault
Module 7: Monitoring, Diagnostics, and Performance Management - Enabling Azure Monitor for VMs (Insights)
- Installing VM Agents and Dependency Agents
- Collecting Performance Counters for Windows and Linux
- Setting Up Log Analytics Workspace for Centralised Logs
- Writing Kusto Query Language (KQL) for Log Analysis
- Creating Custom Dashboards for VM Health Overview
- Setting Up Alert Rules for CPU, Memory, Disk, and Network
- Using Action Groups for Email, SMS, and Webhook Notifications
- Correlating Events Across Multiple VMs and Services
- Analysing Boot Failures with Serial Console Logs
- Using Metrics Explorer for Trend Analysis
- Setting Up Smart Detectors for Anomaly Detection
- Performance Troubleshooting Methodology
- Identifying Bottlenecks in CPU, Memory, Disk, or Network
- Using Process Explorer and Top Commands in Context
- Monitoring VM Extensions and Their Health Status
- Analysing Update Compliance and Patch Status
- Exporting Logs to Storage or Event Hubs
- Integrating with SIEM Tools like Splunk and Sentinel
- Creating Scheduled Reports for Operational Reviews
Module 8: AI-Ready Infrastructure with Azure VMs - Understanding AI Workload Requirements in Enterprise
- GPU-Enabled VMs: NC, ND, and NV Series for AI Training
- Selecting the Right VM for Deep Learning and Inference
- Configuring NCasT4_v3 and ND A100 v4 for Large Models
- Installing CUDA, cuDNN, and AI Frameworks on Linux VMs
- Deploying TensorFlow and PyTorch in Azure VM Environments
- Setting Up Jupyter Notebooks on Secure VM Instances
- Using Azure ML Compute Instances vs Custom VMs
- Integrating VMs with Azure Machine Learning Studio
- Automating Model Training Workflows with Scripts
- Scaling AI Training with Multiple GPU VMs
- Distributed Training with Horovod and MPI
- Optimising Data Pipeline Latency for AI Models
- Using Azure Blob Storage and Data Lake with AI VMs
- Mounting High-Throughput Storage for Training Data
- Securing AI Environments with Network Isolation
- Monitoring GPU Utilisation and Memory Usage
- Cost-Optimisation Strategies for AI Training Clusters
- Using Spot VMs for Non-Critical AI Jobs
- Automated Shutdown of Idle AI Development VMs
Module 9: Enterprise Integration and Hybrid Cloud Patterns - Extending On-Premises Data Centres to Azure with VMs
- Designing Hybrid Identity for Cross-Environment Access
- Using Azure Arc to Manage On-Premises VMs
- Deploying Azure Arc-Enabled Servers at Scale
- Applying Policies and Configurations via Azure Arc
- Synchronising Configuration State with Desired State Configuration (DSC)
- Integrating Azure VMs with On-Premises Active Directory
- Connecting via ExpressRoute with Private Peering
- Ensuring Low Latency for Real-Time Hybrid Applications
- Migrating Physical and Virtual Servers with Azure Migrate
- Assessing Dependencies and Performance for VM Migration
- Performing Agentless and Agent-Based Replication
- Testing and Validating Migration Scenarios
- Cutover Planning and Execution
- Retiring Legacy Systems Post-Migration
- Integrating VMs with Azure DevTest Labs for Enterprise
- Setting Up Lab Accounts and Policies
- Automating VM Deployment in Development Environments
- Enforcing Quotas and Cost Controls in Dev/Test
- Collaboration Features for Team-Based Development
Module 10: Optimisation, Cost Management, and Financial Governance - Understanding Azure Total Cost of Ownership (TCO)
- Using Azure Cost Management and Billing Dashboard
- Analysing VM Spending by Resource, Team, or Department
- Setting Up Budgets and Spending Alerts
- Identifying Underutilised VMs and Right-Sizing Opportunities
- Automating Right-Sizing Recommendations
- Leveraging Azure Advisor for Cost and Performance Tips
- Implementing Shutdown Schedules for Non-Production VMs
- Using Reserved Instances for Predictable Workloads
- Purchase Planning for 1-Year vs 3-Year Reservations
- Combining Reservations with Shared Tenancy for Savings
- Using Spot VMs for Fault-Tolerant, Batch, and AI Workloads
- Managing Spot VM Interruption Risks with Checkpointing
- Tagging Strategy for Departmental Chargeback and Showback
- Exporting Cost Data to Power BI for Visual Reporting
- Integrating with Enterprise Financial Systems
- Negotiating Enterprise Agreements with Microsoft
- Understanding Licensing Models: Bring-Your-Own-License (BYOL)
- Using Azure Hybrid Benefit for Windows and SQL Server
- Calculating ROI on Cloud Optimisation Initiatives
Module 11: Real-World Implementation Projects and Hands-On Labs - Project 1: Deploy and Secure a Multi-Tier Web Application on VMs
- Project 2: Automate the Provisioning of a Development Environment
- Project 3: Build a Scalable AI Inference Cluster with GPU VMs
- Project 4: Design a Hybrid Architecture with On-Premises Integration
- Project 5: Migrate a Legacy Application to Azure with Azure Migrate
- Lab 1: Create and Configure a Linux VM with Custom Script Extension
- Lab 2: Set Up a Windows VM with Monitoring and Backup Enabled
- Lab 3: Deploy a VM Scale Set with Auto-Scaling Rules
- Lab 4: Implement JIT Access and NSG Rules for Zero Trust
- Lab 5: Use Bicep to Deploy a Fully Configured VM Environment
- Lab 6: Configure Azure Backup and Test a Restore Scenario
- Lab 7: Monitor VM Performance with Custom KQL Queries
- Lab 8: Integrate a VM with Azure Key Vault for Secrets Management
- Lab 9: Deploy a Jupyter Server on a GPU VM for AI Exploration
- Lab 10: Set Up Cost Alerts and Right-Size a Running VM
- Lab 11: Implement Azure Arc for Cross-Cloud VM Management
- Lab 12: Build a CI/CD Pipeline for VM Image Deployment
- Lab 13: Configure Private Endpoint for Secure Database Access
- Lab 14: Simulate a Disaster Recovery Failover
- Lab 15: Analyse VM Logs for Security Incidents
Module 12: Certification, Career Advancement, and Next Steps - Preparing for Industry Certifications: Azure Administrator (AZ-104)
- Mapping Course Content to Microsoft Learn Paths
- Bridging to Azure Architect (AZ-305) and DevOps Engineer (AZ-400)
- Building a Professional Portfolio with Project Evidence
- Using the Certificate of Completion in Resumes and LinkedIn
- Strategic Positioning for Cloud Roles in Enterprise Hiring
- Negotiating Salary Based on Demonstrate Azure Expertise
- Contributing to Open Source and Community Projects
- Joining Azure User Groups and Technical Forums
- Continuing Education: Staying Ahead of Azure Updates
- Accessing Exclusive Resources from The Art of Service
- Networking with Certified Peers and Industry Experts
- Mentorship Opportunities and Advanced Learning Paths
- Transitioning from General IT to Cloud-Specialised Roles
- Leading Cloud Transformation Initiatives in Your Organisation
- Becoming a Trusted Advisor on Azure Infrastructure Decisions
- Documenting Architecture Patterns and Best Practices
- Presenting Technical Designs to Stakeholders and Executives
- Evolving from Operator to Strategist in Cloud Planning
- Final Assessment and Certification of Completion Process
- Designing for High Availability with Availability Sets
- Planning Update and Fault Domains for VM Resilience
- Using Availability Zones for Zone-Redundant Deployments
- Region Pairs and Geo-Redundancy in Azure
- VM Scale Sets for Automatic Horizontal Scaling
- Customising Scale Rules Based on CPU, Memory, or Custom Metrics
- Using Application Insights to Trigger Auto-Scaling
- Scale-In and Scale-Out Policies for Cost Efficiency
- Load Balancer Integration with VM Scale Sets
- Orchestration Modes: Uniform vs Flexible for Scale Sets
- Preparing Images for Golden VM Scale Set Templates
- Rolling Upgrades and Health Probes for Zero-Downtime Updates
- Disaster Recovery Planning with Azure Site Recovery
- Replicating On-Premises VMs to Azure
- Failing Over and Failing Back: DR Execution and Testing
- Backup and Restore Workflows with Azure Backup
- Long-Term Retention Policies and Compliance Archiving
- Point-in-Time Recovery for File-Level Restoration
- Automating Backup with Protection Policies
- Monitoring Backup Health with Recovery Services Vault
Module 7: Monitoring, Diagnostics, and Performance Management - Enabling Azure Monitor for VMs (Insights)
- Installing VM Agents and Dependency Agents
- Collecting Performance Counters for Windows and Linux
- Setting Up Log Analytics Workspace for Centralised Logs
- Writing Kusto Query Language (KQL) for Log Analysis
- Creating Custom Dashboards for VM Health Overview
- Setting Up Alert Rules for CPU, Memory, Disk, and Network
- Using Action Groups for Email, SMS, and Webhook Notifications
- Correlating Events Across Multiple VMs and Services
- Analysing Boot Failures with Serial Console Logs
- Using Metrics Explorer for Trend Analysis
- Setting Up Smart Detectors for Anomaly Detection
- Performance Troubleshooting Methodology
- Identifying Bottlenecks in CPU, Memory, Disk, or Network
- Using Process Explorer and Top Commands in Context
- Monitoring VM Extensions and Their Health Status
- Analysing Update Compliance and Patch Status
- Exporting Logs to Storage or Event Hubs
- Integrating with SIEM Tools like Splunk and Sentinel
- Creating Scheduled Reports for Operational Reviews
Module 8: AI-Ready Infrastructure with Azure VMs - Understanding AI Workload Requirements in Enterprise
- GPU-Enabled VMs: NC, ND, and NV Series for AI Training
- Selecting the Right VM for Deep Learning and Inference
- Configuring NCasT4_v3 and ND A100 v4 for Large Models
- Installing CUDA, cuDNN, and AI Frameworks on Linux VMs
- Deploying TensorFlow and PyTorch in Azure VM Environments
- Setting Up Jupyter Notebooks on Secure VM Instances
- Using Azure ML Compute Instances vs Custom VMs
- Integrating VMs with Azure Machine Learning Studio
- Automating Model Training Workflows with Scripts
- Scaling AI Training with Multiple GPU VMs
- Distributed Training with Horovod and MPI
- Optimising Data Pipeline Latency for AI Models
- Using Azure Blob Storage and Data Lake with AI VMs
- Mounting High-Throughput Storage for Training Data
- Securing AI Environments with Network Isolation
- Monitoring GPU Utilisation and Memory Usage
- Cost-Optimisation Strategies for AI Training Clusters
- Using Spot VMs for Non-Critical AI Jobs
- Automated Shutdown of Idle AI Development VMs
Module 9: Enterprise Integration and Hybrid Cloud Patterns - Extending On-Premises Data Centres to Azure with VMs
- Designing Hybrid Identity for Cross-Environment Access
- Using Azure Arc to Manage On-Premises VMs
- Deploying Azure Arc-Enabled Servers at Scale
- Applying Policies and Configurations via Azure Arc
- Synchronising Configuration State with Desired State Configuration (DSC)
- Integrating Azure VMs with On-Premises Active Directory
- Connecting via ExpressRoute with Private Peering
- Ensuring Low Latency for Real-Time Hybrid Applications
- Migrating Physical and Virtual Servers with Azure Migrate
- Assessing Dependencies and Performance for VM Migration
- Performing Agentless and Agent-Based Replication
- Testing and Validating Migration Scenarios
- Cutover Planning and Execution
- Retiring Legacy Systems Post-Migration
- Integrating VMs with Azure DevTest Labs for Enterprise
- Setting Up Lab Accounts and Policies
- Automating VM Deployment in Development Environments
- Enforcing Quotas and Cost Controls in Dev/Test
- Collaboration Features for Team-Based Development
Module 10: Optimisation, Cost Management, and Financial Governance - Understanding Azure Total Cost of Ownership (TCO)
- Using Azure Cost Management and Billing Dashboard
- Analysing VM Spending by Resource, Team, or Department
- Setting Up Budgets and Spending Alerts
- Identifying Underutilised VMs and Right-Sizing Opportunities
- Automating Right-Sizing Recommendations
- Leveraging Azure Advisor for Cost and Performance Tips
- Implementing Shutdown Schedules for Non-Production VMs
- Using Reserved Instances for Predictable Workloads
- Purchase Planning for 1-Year vs 3-Year Reservations
- Combining Reservations with Shared Tenancy for Savings
- Using Spot VMs for Fault-Tolerant, Batch, and AI Workloads
- Managing Spot VM Interruption Risks with Checkpointing
- Tagging Strategy for Departmental Chargeback and Showback
- Exporting Cost Data to Power BI for Visual Reporting
- Integrating with Enterprise Financial Systems
- Negotiating Enterprise Agreements with Microsoft
- Understanding Licensing Models: Bring-Your-Own-License (BYOL)
- Using Azure Hybrid Benefit for Windows and SQL Server
- Calculating ROI on Cloud Optimisation Initiatives
Module 11: Real-World Implementation Projects and Hands-On Labs - Project 1: Deploy and Secure a Multi-Tier Web Application on VMs
- Project 2: Automate the Provisioning of a Development Environment
- Project 3: Build a Scalable AI Inference Cluster with GPU VMs
- Project 4: Design a Hybrid Architecture with On-Premises Integration
- Project 5: Migrate a Legacy Application to Azure with Azure Migrate
- Lab 1: Create and Configure a Linux VM with Custom Script Extension
- Lab 2: Set Up a Windows VM with Monitoring and Backup Enabled
- Lab 3: Deploy a VM Scale Set with Auto-Scaling Rules
- Lab 4: Implement JIT Access and NSG Rules for Zero Trust
- Lab 5: Use Bicep to Deploy a Fully Configured VM Environment
- Lab 6: Configure Azure Backup and Test a Restore Scenario
- Lab 7: Monitor VM Performance with Custom KQL Queries
- Lab 8: Integrate a VM with Azure Key Vault for Secrets Management
- Lab 9: Deploy a Jupyter Server on a GPU VM for AI Exploration
- Lab 10: Set Up Cost Alerts and Right-Size a Running VM
- Lab 11: Implement Azure Arc for Cross-Cloud VM Management
- Lab 12: Build a CI/CD Pipeline for VM Image Deployment
- Lab 13: Configure Private Endpoint for Secure Database Access
- Lab 14: Simulate a Disaster Recovery Failover
- Lab 15: Analyse VM Logs for Security Incidents
Module 12: Certification, Career Advancement, and Next Steps - Preparing for Industry Certifications: Azure Administrator (AZ-104)
- Mapping Course Content to Microsoft Learn Paths
- Bridging to Azure Architect (AZ-305) and DevOps Engineer (AZ-400)
- Building a Professional Portfolio with Project Evidence
- Using the Certificate of Completion in Resumes and LinkedIn
- Strategic Positioning for Cloud Roles in Enterprise Hiring
- Negotiating Salary Based on Demonstrate Azure Expertise
- Contributing to Open Source and Community Projects
- Joining Azure User Groups and Technical Forums
- Continuing Education: Staying Ahead of Azure Updates
- Accessing Exclusive Resources from The Art of Service
- Networking with Certified Peers and Industry Experts
- Mentorship Opportunities and Advanced Learning Paths
- Transitioning from General IT to Cloud-Specialised Roles
- Leading Cloud Transformation Initiatives in Your Organisation
- Becoming a Trusted Advisor on Azure Infrastructure Decisions
- Documenting Architecture Patterns and Best Practices
- Presenting Technical Designs to Stakeholders and Executives
- Evolving from Operator to Strategist in Cloud Planning
- Final Assessment and Certification of Completion Process
- Understanding AI Workload Requirements in Enterprise
- GPU-Enabled VMs: NC, ND, and NV Series for AI Training
- Selecting the Right VM for Deep Learning and Inference
- Configuring NCasT4_v3 and ND A100 v4 for Large Models
- Installing CUDA, cuDNN, and AI Frameworks on Linux VMs
- Deploying TensorFlow and PyTorch in Azure VM Environments
- Setting Up Jupyter Notebooks on Secure VM Instances
- Using Azure ML Compute Instances vs Custom VMs
- Integrating VMs with Azure Machine Learning Studio
- Automating Model Training Workflows with Scripts
- Scaling AI Training with Multiple GPU VMs
- Distributed Training with Horovod and MPI
- Optimising Data Pipeline Latency for AI Models
- Using Azure Blob Storage and Data Lake with AI VMs
- Mounting High-Throughput Storage for Training Data
- Securing AI Environments with Network Isolation
- Monitoring GPU Utilisation and Memory Usage
- Cost-Optimisation Strategies for AI Training Clusters
- Using Spot VMs for Non-Critical AI Jobs
- Automated Shutdown of Idle AI Development VMs
Module 9: Enterprise Integration and Hybrid Cloud Patterns - Extending On-Premises Data Centres to Azure with VMs
- Designing Hybrid Identity for Cross-Environment Access
- Using Azure Arc to Manage On-Premises VMs
- Deploying Azure Arc-Enabled Servers at Scale
- Applying Policies and Configurations via Azure Arc
- Synchronising Configuration State with Desired State Configuration (DSC)
- Integrating Azure VMs with On-Premises Active Directory
- Connecting via ExpressRoute with Private Peering
- Ensuring Low Latency for Real-Time Hybrid Applications
- Migrating Physical and Virtual Servers with Azure Migrate
- Assessing Dependencies and Performance for VM Migration
- Performing Agentless and Agent-Based Replication
- Testing and Validating Migration Scenarios
- Cutover Planning and Execution
- Retiring Legacy Systems Post-Migration
- Integrating VMs with Azure DevTest Labs for Enterprise
- Setting Up Lab Accounts and Policies
- Automating VM Deployment in Development Environments
- Enforcing Quotas and Cost Controls in Dev/Test
- Collaboration Features for Team-Based Development
Module 10: Optimisation, Cost Management, and Financial Governance - Understanding Azure Total Cost of Ownership (TCO)
- Using Azure Cost Management and Billing Dashboard
- Analysing VM Spending by Resource, Team, or Department
- Setting Up Budgets and Spending Alerts
- Identifying Underutilised VMs and Right-Sizing Opportunities
- Automating Right-Sizing Recommendations
- Leveraging Azure Advisor for Cost and Performance Tips
- Implementing Shutdown Schedules for Non-Production VMs
- Using Reserved Instances for Predictable Workloads
- Purchase Planning for 1-Year vs 3-Year Reservations
- Combining Reservations with Shared Tenancy for Savings
- Using Spot VMs for Fault-Tolerant, Batch, and AI Workloads
- Managing Spot VM Interruption Risks with Checkpointing
- Tagging Strategy for Departmental Chargeback and Showback
- Exporting Cost Data to Power BI for Visual Reporting
- Integrating with Enterprise Financial Systems
- Negotiating Enterprise Agreements with Microsoft
- Understanding Licensing Models: Bring-Your-Own-License (BYOL)
- Using Azure Hybrid Benefit for Windows and SQL Server
- Calculating ROI on Cloud Optimisation Initiatives
Module 11: Real-World Implementation Projects and Hands-On Labs - Project 1: Deploy and Secure a Multi-Tier Web Application on VMs
- Project 2: Automate the Provisioning of a Development Environment
- Project 3: Build a Scalable AI Inference Cluster with GPU VMs
- Project 4: Design a Hybrid Architecture with On-Premises Integration
- Project 5: Migrate a Legacy Application to Azure with Azure Migrate
- Lab 1: Create and Configure a Linux VM with Custom Script Extension
- Lab 2: Set Up a Windows VM with Monitoring and Backup Enabled
- Lab 3: Deploy a VM Scale Set with Auto-Scaling Rules
- Lab 4: Implement JIT Access and NSG Rules for Zero Trust
- Lab 5: Use Bicep to Deploy a Fully Configured VM Environment
- Lab 6: Configure Azure Backup and Test a Restore Scenario
- Lab 7: Monitor VM Performance with Custom KQL Queries
- Lab 8: Integrate a VM with Azure Key Vault for Secrets Management
- Lab 9: Deploy a Jupyter Server on a GPU VM for AI Exploration
- Lab 10: Set Up Cost Alerts and Right-Size a Running VM
- Lab 11: Implement Azure Arc for Cross-Cloud VM Management
- Lab 12: Build a CI/CD Pipeline for VM Image Deployment
- Lab 13: Configure Private Endpoint for Secure Database Access
- Lab 14: Simulate a Disaster Recovery Failover
- Lab 15: Analyse VM Logs for Security Incidents
Module 12: Certification, Career Advancement, and Next Steps - Preparing for Industry Certifications: Azure Administrator (AZ-104)
- Mapping Course Content to Microsoft Learn Paths
- Bridging to Azure Architect (AZ-305) and DevOps Engineer (AZ-400)
- Building a Professional Portfolio with Project Evidence
- Using the Certificate of Completion in Resumes and LinkedIn
- Strategic Positioning for Cloud Roles in Enterprise Hiring
- Negotiating Salary Based on Demonstrate Azure Expertise
- Contributing to Open Source and Community Projects
- Joining Azure User Groups and Technical Forums
- Continuing Education: Staying Ahead of Azure Updates
- Accessing Exclusive Resources from The Art of Service
- Networking with Certified Peers and Industry Experts
- Mentorship Opportunities and Advanced Learning Paths
- Transitioning from General IT to Cloud-Specialised Roles
- Leading Cloud Transformation Initiatives in Your Organisation
- Becoming a Trusted Advisor on Azure Infrastructure Decisions
- Documenting Architecture Patterns and Best Practices
- Presenting Technical Designs to Stakeholders and Executives
- Evolving from Operator to Strategist in Cloud Planning
- Final Assessment and Certification of Completion Process
- Understanding Azure Total Cost of Ownership (TCO)
- Using Azure Cost Management and Billing Dashboard
- Analysing VM Spending by Resource, Team, or Department
- Setting Up Budgets and Spending Alerts
- Identifying Underutilised VMs and Right-Sizing Opportunities
- Automating Right-Sizing Recommendations
- Leveraging Azure Advisor for Cost and Performance Tips
- Implementing Shutdown Schedules for Non-Production VMs
- Using Reserved Instances for Predictable Workloads
- Purchase Planning for 1-Year vs 3-Year Reservations
- Combining Reservations with Shared Tenancy for Savings
- Using Spot VMs for Fault-Tolerant, Batch, and AI Workloads
- Managing Spot VM Interruption Risks with Checkpointing
- Tagging Strategy for Departmental Chargeback and Showback
- Exporting Cost Data to Power BI for Visual Reporting
- Integrating with Enterprise Financial Systems
- Negotiating Enterprise Agreements with Microsoft
- Understanding Licensing Models: Bring-Your-Own-License (BYOL)
- Using Azure Hybrid Benefit for Windows and SQL Server
- Calculating ROI on Cloud Optimisation Initiatives
Module 11: Real-World Implementation Projects and Hands-On Labs - Project 1: Deploy and Secure a Multi-Tier Web Application on VMs
- Project 2: Automate the Provisioning of a Development Environment
- Project 3: Build a Scalable AI Inference Cluster with GPU VMs
- Project 4: Design a Hybrid Architecture with On-Premises Integration
- Project 5: Migrate a Legacy Application to Azure with Azure Migrate
- Lab 1: Create and Configure a Linux VM with Custom Script Extension
- Lab 2: Set Up a Windows VM with Monitoring and Backup Enabled
- Lab 3: Deploy a VM Scale Set with Auto-Scaling Rules
- Lab 4: Implement JIT Access and NSG Rules for Zero Trust
- Lab 5: Use Bicep to Deploy a Fully Configured VM Environment
- Lab 6: Configure Azure Backup and Test a Restore Scenario
- Lab 7: Monitor VM Performance with Custom KQL Queries
- Lab 8: Integrate a VM with Azure Key Vault for Secrets Management
- Lab 9: Deploy a Jupyter Server on a GPU VM for AI Exploration
- Lab 10: Set Up Cost Alerts and Right-Size a Running VM
- Lab 11: Implement Azure Arc for Cross-Cloud VM Management
- Lab 12: Build a CI/CD Pipeline for VM Image Deployment
- Lab 13: Configure Private Endpoint for Secure Database Access
- Lab 14: Simulate a Disaster Recovery Failover
- Lab 15: Analyse VM Logs for Security Incidents
Module 12: Certification, Career Advancement, and Next Steps - Preparing for Industry Certifications: Azure Administrator (AZ-104)
- Mapping Course Content to Microsoft Learn Paths
- Bridging to Azure Architect (AZ-305) and DevOps Engineer (AZ-400)
- Building a Professional Portfolio with Project Evidence
- Using the Certificate of Completion in Resumes and LinkedIn
- Strategic Positioning for Cloud Roles in Enterprise Hiring
- Negotiating Salary Based on Demonstrate Azure Expertise
- Contributing to Open Source and Community Projects
- Joining Azure User Groups and Technical Forums
- Continuing Education: Staying Ahead of Azure Updates
- Accessing Exclusive Resources from The Art of Service
- Networking with Certified Peers and Industry Experts
- Mentorship Opportunities and Advanced Learning Paths
- Transitioning from General IT to Cloud-Specialised Roles
- Leading Cloud Transformation Initiatives in Your Organisation
- Becoming a Trusted Advisor on Azure Infrastructure Decisions
- Documenting Architecture Patterns and Best Practices
- Presenting Technical Designs to Stakeholders and Executives
- Evolving from Operator to Strategist in Cloud Planning
- Final Assessment and Certification of Completion Process
- Preparing for Industry Certifications: Azure Administrator (AZ-104)
- Mapping Course Content to Microsoft Learn Paths
- Bridging to Azure Architect (AZ-305) and DevOps Engineer (AZ-400)
- Building a Professional Portfolio with Project Evidence
- Using the Certificate of Completion in Resumes and LinkedIn
- Strategic Positioning for Cloud Roles in Enterprise Hiring
- Negotiating Salary Based on Demonstrate Azure Expertise
- Contributing to Open Source and Community Projects
- Joining Azure User Groups and Technical Forums
- Continuing Education: Staying Ahead of Azure Updates
- Accessing Exclusive Resources from The Art of Service
- Networking with Certified Peers and Industry Experts
- Mentorship Opportunities and Advanced Learning Paths
- Transitioning from General IT to Cloud-Specialised Roles
- Leading Cloud Transformation Initiatives in Your Organisation
- Becoming a Trusted Advisor on Azure Infrastructure Decisions
- Documenting Architecture Patterns and Best Practices
- Presenting Technical Designs to Stakeholders and Executives
- Evolving from Operator to Strategist in Cloud Planning
- Final Assessment and Certification of Completion Process