Master Azure DevOps with CI/CD Pipeline Automation
You’re under pressure. Deadlines are tight, releases are chaotic, and your team is stuck in a cycle of manual deployments, broken builds, and last-minute firefighting. You know the cloud is the future, and Azure DevOps is central to it all - yet you’re not fully in control. You’re tired of guessing, of troubleshooting in the dark, of being seen as a blocker instead of an enabler. What if you could automate your entire pipeline with precision, confidence, and speed? What if every commit triggered a flawless, secure, and auditable deployment - from development to production - without manual intervention? That’s not just possible, it’s achievable. And the transformation starts with the Master Azure DevOps with CI/CD Pipeline Automation course. This is not just another training. It’s your proven blueprint to go from overwhelmed and reactive to being the leader who delivers enterprise-grade, automated CI/CD pipelines in under four weeks - with a real-world project portfolio and a globally recognised Certificate of Completion. No fluff, no filler, just actionable mastery. Take it from Sandra K., Senior DevOps Engineer at a Fortune 500 financial institution: “After completing this course, I automated our core banking microservices pipeline, cutting deployment time from 4 hours to 12 minutes. I was promoted two months later. This course didn’t just teach me tools - it gave me authority.” This isn’t about theory. It’s about tangible, board-ready results: reliable deployments, audit-ready pipeline documentation, reduced MTTR, and secure, compliant environments. You’re not just learning Azure DevOps - you’re mastering it at enterprise scale. Here’s how this course is structured to help you get there.Course Format & Delivery Details Self-Paced, On-Demand, and Built for Your Real Life
This course is designed for working professionals who need results, not schedules. You gain immediate online access the moment you enrol, and progress entirely at your own pace. There are no fixed cohorts, no mandatory live sessions, and no artificial deadlines. Study when it works for you - early mornings, late nights, weekends, or between sprints. Most learners complete the full curriculum in 4 to 6 weeks while working full time, with many implementing pipeline automation in their organisations within the first 14 days. Real skill. Real impact. Fast. Lifetime Access with Continuous Updates
Once you enrol, your access is permanent. Not 12 months. Not 24 months. Lifetime. This includes all future content updates - new Azure features, updated security practices, and evolving DevOps patterns - delivered at no additional cost. You’re not buying a static course. You’re investing in a living, growing resource that stays current for years. The platform is mobile-friendly, fully responsive, and accessible 24/7 from any device, anywhere in the world. Whether you’re at your desk, on a commute, or working remotely, your progress is always synced and up to date. Expert Guidance, Not Just Materials
You’re never alone. This course includes direct instructor support via structured feedback channels. Every module is backed by detailed implementation guides, troubleshooting playbooks, and peer-reviewed project templates. You get clarity, not confusion. Ask questions, submit your pipeline designs, and receive actionable guidance from DevOps practitioners with real Azure enterprise experience. Trusted Certificate of Completion by The Art of Service
Upon finishing, you’ll earn a Certificate of Completion issued by The Art of Service - a globally recognised credential trusted by IT leaders in over 60 countries. This isn’t a participation badge. It validates your ability to design, build, and secure CI/CD pipelines in Azure DevOps. Add it to your LinkedIn, resume, or promotion portfolio with confidence. Straightforward Pricing, No Hidden Costs
The price you see is the price you pay. There are no hidden fees, no surprise charges, and no mandatory subscriptions. What you get is complete, transparent, and delivered in full upon access. Secure payment is accepted via Visa, Mastercard, and PayPal - trusted methods used by professionals worldwide. Zero-Risk Investment: Satisfied or Refunded
We stand behind this course with a 100% money-back guarantee. If you complete the first two modules and feel this isn’t delivering as promised, simply reach out - no questions asked - and we’ll refund your investment in full. Your success is our priority. This isn’t just a promise. It’s risk reversal in action. After Enrolment: What to Expect
After registering, you’ll receive a confirmation email. A separate message with your secure access details will follow once your course materials are fully provisioned. This ensures your learning environment is ready, clean, and fully functional from day one. Will This Work for Me?
Yes - even if you’re not a developer, even if your organisation uses hybrid models, even if you’ve never written a pipeline YAML file before. This course is built for a wide range of roles: - Infrastructure Engineers transitioning to DevOps
- Release Managers seeking automation
- Junior Developers aiming to master deployment workflows
- Cloud Architects integrating CI/CD into enterprise blueprints
You’ll find tailored examples for regulated industries, startups, on-premises integrations, and multi-cloud environments. This works even if your organisation has legacy systems, compliance constraints, or complex governance requirements. We’ve built this with real-world friction in mind. This isn’t an idealised lab scenario. It’s battle-tested, practical, and engineered for the real Azure DevOps you face every day.
Module 1: Foundations of Azure DevOps - Introduction to Azure DevOps Services and Architecture
- Setting up your Azure DevOps Organisation and Project
- Understanding Azure Boards for Work Item Tracking
- Managing Teams, Permissions, and Security Roles
- Configuring Policies for Compliance and Governance
- Overview of Azure Repos: Git vs TFVC
- Best Practices for Branching Strategies
- Implementing Git Workflows in Professional Environments
- Setting up SSH Keys and Authentication Methods
- Connecting IDEs and CLIs to Azure Repos
- Understanding Azure Artifacts and Package Management
- Creating and Managing Private NuGet, npm, and Maven Feeds
- Setting Up Service Connections for External Systems
- Navigating the Azure DevOps UI Efficiently
- Customising Dashboards and Workspaces
- Using Tags, Areas, and Iterations for Roadmapping
- Planning Sprints with Azure Boards
- Tracking Bugs, Epics, and User Stories
- Integrating with Microsoft Teams and Slack
- Backup and Disaster Recovery for Azure DevOps
Module 2: Core Principles of CI/CD - Defining Continuous Integration and Continuous Delivery
- Differentiating CD: Delivery vs Deployment
- Understanding the Benefits of Pipeline Automation
- Common CI/CD Anti-Patterns and How to Avoid Them
- The Role of Testing in CI/CD Success
- Designing for Testability and Observability
- Defining Build Quality Gates and Quality Metrics
- Setting Up Git Hooks and Pre-Commit Checks
- Implementing Pull Request Validation Policies
- Using Branch Policies to Enforce Code Reviews
- Automating Build Triggers: CI vs Manual vs Scheduled
- Designing for Deployment Safety
- Understanding Blue-Green and Canary Releases
- Defining Rollback Strategies in Pipeline Design
- The Role of Monitoring in Feedback Loops
- Establishing Pipeline KPIs: MTTR, Deployment Frequency
- Understanding Change Failure Rate and Lead Time
- Integrating Feedback from Production into Dev
- Adopting DevOps Culture in Your Team
- Shifting Left: Security, Testing, and Compliance
Module 3: Building CI Pipelines in Azure Pipelines - Creating Your First Azure Pipeline: Step-by-Step Guide
- Understanding YAML vs Classic Pipeline Design
- Advantages of YAML-Based Pipeline Definitions
- Structure of an Azure Pipeline YAML File
- Defining Stages, Jobs, and Steps
- Using Variables, Parameters, and Templates
- Managing Secrets with Azure Key Vault Integration
- Using Variable Groups for Environment-Specific Configs
- Defining Triggers: Branch, Path, Tag Filters
- Setting Up Path-Based Triggers for Microservices
- Configuring Pull Request and Batch Builds
- Using Strategy: Rolling, Canary, and Rolling Red/Green
- Implementing Conditional Execution with Expressions
- Using Dependencies and Outputs Between Jobs
- Manual Intervention and Approvals in Jobs
- Running Pipelines on Hosted vs Self-Hosted Agents
- Choosing Windows, Linux, or macOS Build Agents
- Installing Tools and Dependencies in Pipelines
- Building .NET, Node.js, Python, and Java Applications
- Parallelising Jobs for Faster Builds
Module 4: Implementing CD Pipelines and Release Strategies - Designing Multi-Stage CD Pipelines with YAML
- Defining Environments: Dev, QA, UAT, Prod
- Linking Pipelines to Environments in Azure DevOps
- Configuring Pre-Deployment and Post-Deployment Gates
- Setting Up Approval Workflows with Multiple Approvers
- Using Azure Monitor and Application Insights for Gates
- Integrating Manual Approvals for Compliance
- Automating Deployment to Azure App Services
- Deploying to Azure Functions with Zero Downtime
- Deploying Containerised Applications to Azure Kubernetes Service
- Pushing Images to Azure Container Registry
- Managing Helm Charts in CD Workflows
- Using ARM Templates for Infrastructure Provisioning
- Integrating Bicep Templates in Pipelines
- Deploying to Azure Virtual Machines via DSC
- Blue-Green Deployments with Traffic Manager
- Canary Releases with Azure Front Door
- Feature Flags and Dynamic Configuration with Azure App Configuration
- Automating Rollbacks with Conditional Logic
- Validating Deployments with Smoke and Health Checks
Module 5: Pipeline Security and Compliance - Securing Pipeline Secrets with Azure Key Vault
- Using Managed Identities for Agent Authentication
- Principle of Least Privilege in Pipeline Design
- Validating Input Parameters to Prevent Injection Attacks
- Scanning for Secrets in Repositories with Azure DevOps Policies
- Implementing Just-In-Time Access for Admin Tasks
- Auditing Pipeline Runs and Changes
- Enabling Audit Logs with Azure Monitor
- Integrating with Azure Policy for Compliance
- Enforcing Naming Conventions and Standards
- Using Pipeline Templates to Standardise Security
- Protecting Production Deployments with Dual Approvals
- Integrating SAST Tools like SonarQube into CI
- Running DAST Scans in Pre-Production Environments
- Validating Infrastructure as Code with Checkov
- Setting Up Policy Enforcement with OPA
- Meeting GDPR, HIPAA, and SOC 2 Requirements
- Generating Compliance Reports from Pipeline Data
- Implementing Immutable Logs for Audit Trails
- Connecting Pipelines to Third-Party Governance Tools
Module 6: Infrastructure as Code with Azure - Introduction to Infrastructure as Code Principles
- Comparing ARM Templates, Bicep, and Terraform
- Writing Your First Bicep Template
- Decompling Resources and Modules in Bicep
- Parameterising Deployments for Reusability
- Using Loops and Conditions in Bicep
- Integrating Bicep into Azure Pipelines
- Deploying Networks, VMs, and Storage with IaC
- Managing State Files Securely in Pipelines
- Using Terraform Cloud with Azure DevOps
- Planning and Applying Terraform in CI/CD
- Handling Terraform State Locking and Collaboration
- Integrating Policy as Code with Sentinel
- Validating IaC Code with linters and static analysis
- Deploying Multi-Region Architectures
- Automating DR Setup with IaC
- Using Azure Policy to Enforce IaC Standards
- Versioning Infrastructure Code in Git
- Drift Detection and Remediation Strategies
- Destroying Environments Safely in CD
Module 7: Testing and Quality Assurance in CI/CD - Integrating Unit Tests in Build Pipelines
- Publishing Test Results to Azure DevOps
- Running Integration Tests in Isolated Environments
- Setting Up Test Environments with Dynamic Provisioning
- Using Deployment Jobs for Environment Lifecycle
- Running E2E Tests with Playwright and Selenium
- Parallelising Test Execution for Speed
- Implementing Test Coverage Reporting
- Enforcing Minimum Coverage Thresholds
- Running Performance Tests in Pipelines
- Using k6 and JMeter for Load Testing
- Publishing Performance Baselines
- Security Testing: SAST, DAST, and SCA Integration
- Using OWASP ZAP in CI Workflows
- Integrating Dependency Scanning with Black Duck
- Preventing Vulnerable Packages from Deploying
- Automating Accessibility Testing in Pipelines
- Running Lighthouse Audits in Headless Mode
- Fail Fast: Breaking Builds on Test Failures
- Retrying Flaky Tests with Conditional Logic
Module 8: Advanced Pipeline Optimisation and Reusability - Creating and Publishing Pipeline Templates
- Using Template Parameters and Expressions
- Versioning and Managing Templates Across Projects
- Sharing Templates via Azure Artifacts
- Importing Templates from Public Repositories
- Using Starter Pipelines for Common Scenarios
- Building Modular Pipelines with Template Inheritance
- Creating Cross-Project Pipeline Integrations
- Chaining Pipelines with Triggered Workflows
- Using APIs to Start Pipelines Programmatically
- Limiting Pipeline Concurrency for Stability
- Optimising Pipeline Caching for Faster Builds
- Using Pipeline Artifacts to Share Outputs
- Publishing Build Artifacts to Azure Storage
- Downloading Artifacts in Downstream Jobs
- Compressing and Versioning Artifacts
- Setting Retention Policies for Builds and Artifacts
- Using Tags and Labels for Build Identification
- Instrumenting Pipelines with Custom Logging
- Analysing Pipeline Performance with Insights
Module 9: Monitoring, Logging, and Observability - Integrating Azure Monitor with CI/CD Pipelines
- Sending Custom Metrics from Pipeline Jobs
- Creating Alerts Based on Deployment Outcomes
- Using Application Insights for Post-Deployment Validation
- Tracking Request Rates and Error Rates After Deployments
- Setting Up Dashboards for Deployment Health
- Logging Pipeline Events to Log Analytics
- Analysing Pipeline Failures with KQL Queries
- Correlating Deployments with Performance Degrades
- Using Azure Workbooks for Operational Reports
- Generating Post-Mortem Reports After Incidents
- Integrating with OpenTelemetry Standards
- Exporting Traces to Third-Party APM Tools
- Measuring MTTR and Deployment Success Rate
- Creating SLI and SLO Dashboards
- Alerting on Golden Signals: Latency, Traffic, Errors, Saturation
- Setting Maintenance Windows for Deployments
- Using Smart Detection for Anomaly Response
- Automating Runbook Execution on Failure
- Connecting to Azure Automation for Remediation
Module 10: Real-World Project Implementation - Project 1: Automating a .NET Core Web App Pipeline
- Project 2: CI/CD for a Serverless Function App
- Project 3: Microservices Deployment with AKS and Helm
- Defining Environments with Separate Git Branches
- Implementing Progressive Delivery with Feature Flags
- Setting Up End-to-End Testing in QA
- Securing Production with Approval Gates
- Generating Compliance Documentation
- Writing Pipeline as Code for Full Auditability
- Implementing Immutable Build Agents for Consistency
- Using Self-Hosted Agents for Air-Gapped Networks
- Hardening Agent Security with JIT Access
- Integrating with GitHub Repositories
- Creating Fork-Based Contribution Workflows
- Securing Contributions with PR Policies
- Deploying Static Sites to Azure CDN
- Automating Database Schema Migrations
- Integrating Flyway and Liquibase in CD
- Validating DB Changes in Pre-Production
- Rolling Back Schemas Automatically on Failure
Module 11: Career Advancement and Certification - Building a Professional DevOps Portfolio
- Documenting Your Project Implementations
- Writing Case Studies for Your Resume
- Adding Azure DevOps Projects to LinkedIn
- Preparing for DevOps Interview Questions
- Talking About CI/CD Experience with Confidence
- Highlighting Automation Impact in Performance Reviews
- Leveraging the Certificate of Completion
- Understanding How Hiring Managers Evaluate DevOps Skills
- Networking in DevOps Communities
- Contributing to Open Source Projects
- Presenting Your Work to Leadership
- Using Metrics to Prove Pipeline ROI
- Positioning Yourself for Promotions
- Transitioning to Cloud/DevOps Architect Roles
- Continuing Your Learning Path Beyond This Course
- Joining The Art of Service Alumni Network
- Accessing Exclusive Job Boards and Mentorship
- Updating Your Certificate Annually with New Features
- Receiving Recognition from a Globally Trusted Provider
- Introduction to Azure DevOps Services and Architecture
- Setting up your Azure DevOps Organisation and Project
- Understanding Azure Boards for Work Item Tracking
- Managing Teams, Permissions, and Security Roles
- Configuring Policies for Compliance and Governance
- Overview of Azure Repos: Git vs TFVC
- Best Practices for Branching Strategies
- Implementing Git Workflows in Professional Environments
- Setting up SSH Keys and Authentication Methods
- Connecting IDEs and CLIs to Azure Repos
- Understanding Azure Artifacts and Package Management
- Creating and Managing Private NuGet, npm, and Maven Feeds
- Setting Up Service Connections for External Systems
- Navigating the Azure DevOps UI Efficiently
- Customising Dashboards and Workspaces
- Using Tags, Areas, and Iterations for Roadmapping
- Planning Sprints with Azure Boards
- Tracking Bugs, Epics, and User Stories
- Integrating with Microsoft Teams and Slack
- Backup and Disaster Recovery for Azure DevOps
Module 2: Core Principles of CI/CD - Defining Continuous Integration and Continuous Delivery
- Differentiating CD: Delivery vs Deployment
- Understanding the Benefits of Pipeline Automation
- Common CI/CD Anti-Patterns and How to Avoid Them
- The Role of Testing in CI/CD Success
- Designing for Testability and Observability
- Defining Build Quality Gates and Quality Metrics
- Setting Up Git Hooks and Pre-Commit Checks
- Implementing Pull Request Validation Policies
- Using Branch Policies to Enforce Code Reviews
- Automating Build Triggers: CI vs Manual vs Scheduled
- Designing for Deployment Safety
- Understanding Blue-Green and Canary Releases
- Defining Rollback Strategies in Pipeline Design
- The Role of Monitoring in Feedback Loops
- Establishing Pipeline KPIs: MTTR, Deployment Frequency
- Understanding Change Failure Rate and Lead Time
- Integrating Feedback from Production into Dev
- Adopting DevOps Culture in Your Team
- Shifting Left: Security, Testing, and Compliance
Module 3: Building CI Pipelines in Azure Pipelines - Creating Your First Azure Pipeline: Step-by-Step Guide
- Understanding YAML vs Classic Pipeline Design
- Advantages of YAML-Based Pipeline Definitions
- Structure of an Azure Pipeline YAML File
- Defining Stages, Jobs, and Steps
- Using Variables, Parameters, and Templates
- Managing Secrets with Azure Key Vault Integration
- Using Variable Groups for Environment-Specific Configs
- Defining Triggers: Branch, Path, Tag Filters
- Setting Up Path-Based Triggers for Microservices
- Configuring Pull Request and Batch Builds
- Using Strategy: Rolling, Canary, and Rolling Red/Green
- Implementing Conditional Execution with Expressions
- Using Dependencies and Outputs Between Jobs
- Manual Intervention and Approvals in Jobs
- Running Pipelines on Hosted vs Self-Hosted Agents
- Choosing Windows, Linux, or macOS Build Agents
- Installing Tools and Dependencies in Pipelines
- Building .NET, Node.js, Python, and Java Applications
- Parallelising Jobs for Faster Builds
Module 4: Implementing CD Pipelines and Release Strategies - Designing Multi-Stage CD Pipelines with YAML
- Defining Environments: Dev, QA, UAT, Prod
- Linking Pipelines to Environments in Azure DevOps
- Configuring Pre-Deployment and Post-Deployment Gates
- Setting Up Approval Workflows with Multiple Approvers
- Using Azure Monitor and Application Insights for Gates
- Integrating Manual Approvals for Compliance
- Automating Deployment to Azure App Services
- Deploying to Azure Functions with Zero Downtime
- Deploying Containerised Applications to Azure Kubernetes Service
- Pushing Images to Azure Container Registry
- Managing Helm Charts in CD Workflows
- Using ARM Templates for Infrastructure Provisioning
- Integrating Bicep Templates in Pipelines
- Deploying to Azure Virtual Machines via DSC
- Blue-Green Deployments with Traffic Manager
- Canary Releases with Azure Front Door
- Feature Flags and Dynamic Configuration with Azure App Configuration
- Automating Rollbacks with Conditional Logic
- Validating Deployments with Smoke and Health Checks
Module 5: Pipeline Security and Compliance - Securing Pipeline Secrets with Azure Key Vault
- Using Managed Identities for Agent Authentication
- Principle of Least Privilege in Pipeline Design
- Validating Input Parameters to Prevent Injection Attacks
- Scanning for Secrets in Repositories with Azure DevOps Policies
- Implementing Just-In-Time Access for Admin Tasks
- Auditing Pipeline Runs and Changes
- Enabling Audit Logs with Azure Monitor
- Integrating with Azure Policy for Compliance
- Enforcing Naming Conventions and Standards
- Using Pipeline Templates to Standardise Security
- Protecting Production Deployments with Dual Approvals
- Integrating SAST Tools like SonarQube into CI
- Running DAST Scans in Pre-Production Environments
- Validating Infrastructure as Code with Checkov
- Setting Up Policy Enforcement with OPA
- Meeting GDPR, HIPAA, and SOC 2 Requirements
- Generating Compliance Reports from Pipeline Data
- Implementing Immutable Logs for Audit Trails
- Connecting Pipelines to Third-Party Governance Tools
Module 6: Infrastructure as Code with Azure - Introduction to Infrastructure as Code Principles
- Comparing ARM Templates, Bicep, and Terraform
- Writing Your First Bicep Template
- Decompling Resources and Modules in Bicep
- Parameterising Deployments for Reusability
- Using Loops and Conditions in Bicep
- Integrating Bicep into Azure Pipelines
- Deploying Networks, VMs, and Storage with IaC
- Managing State Files Securely in Pipelines
- Using Terraform Cloud with Azure DevOps
- Planning and Applying Terraform in CI/CD
- Handling Terraform State Locking and Collaboration
- Integrating Policy as Code with Sentinel
- Validating IaC Code with linters and static analysis
- Deploying Multi-Region Architectures
- Automating DR Setup with IaC
- Using Azure Policy to Enforce IaC Standards
- Versioning Infrastructure Code in Git
- Drift Detection and Remediation Strategies
- Destroying Environments Safely in CD
Module 7: Testing and Quality Assurance in CI/CD - Integrating Unit Tests in Build Pipelines
- Publishing Test Results to Azure DevOps
- Running Integration Tests in Isolated Environments
- Setting Up Test Environments with Dynamic Provisioning
- Using Deployment Jobs for Environment Lifecycle
- Running E2E Tests with Playwright and Selenium
- Parallelising Test Execution for Speed
- Implementing Test Coverage Reporting
- Enforcing Minimum Coverage Thresholds
- Running Performance Tests in Pipelines
- Using k6 and JMeter for Load Testing
- Publishing Performance Baselines
- Security Testing: SAST, DAST, and SCA Integration
- Using OWASP ZAP in CI Workflows
- Integrating Dependency Scanning with Black Duck
- Preventing Vulnerable Packages from Deploying
- Automating Accessibility Testing in Pipelines
- Running Lighthouse Audits in Headless Mode
- Fail Fast: Breaking Builds on Test Failures
- Retrying Flaky Tests with Conditional Logic
Module 8: Advanced Pipeline Optimisation and Reusability - Creating and Publishing Pipeline Templates
- Using Template Parameters and Expressions
- Versioning and Managing Templates Across Projects
- Sharing Templates via Azure Artifacts
- Importing Templates from Public Repositories
- Using Starter Pipelines for Common Scenarios
- Building Modular Pipelines with Template Inheritance
- Creating Cross-Project Pipeline Integrations
- Chaining Pipelines with Triggered Workflows
- Using APIs to Start Pipelines Programmatically
- Limiting Pipeline Concurrency for Stability
- Optimising Pipeline Caching for Faster Builds
- Using Pipeline Artifacts to Share Outputs
- Publishing Build Artifacts to Azure Storage
- Downloading Artifacts in Downstream Jobs
- Compressing and Versioning Artifacts
- Setting Retention Policies for Builds and Artifacts
- Using Tags and Labels for Build Identification
- Instrumenting Pipelines with Custom Logging
- Analysing Pipeline Performance with Insights
Module 9: Monitoring, Logging, and Observability - Integrating Azure Monitor with CI/CD Pipelines
- Sending Custom Metrics from Pipeline Jobs
- Creating Alerts Based on Deployment Outcomes
- Using Application Insights for Post-Deployment Validation
- Tracking Request Rates and Error Rates After Deployments
- Setting Up Dashboards for Deployment Health
- Logging Pipeline Events to Log Analytics
- Analysing Pipeline Failures with KQL Queries
- Correlating Deployments with Performance Degrades
- Using Azure Workbooks for Operational Reports
- Generating Post-Mortem Reports After Incidents
- Integrating with OpenTelemetry Standards
- Exporting Traces to Third-Party APM Tools
- Measuring MTTR and Deployment Success Rate
- Creating SLI and SLO Dashboards
- Alerting on Golden Signals: Latency, Traffic, Errors, Saturation
- Setting Maintenance Windows for Deployments
- Using Smart Detection for Anomaly Response
- Automating Runbook Execution on Failure
- Connecting to Azure Automation for Remediation
Module 10: Real-World Project Implementation - Project 1: Automating a .NET Core Web App Pipeline
- Project 2: CI/CD for a Serverless Function App
- Project 3: Microservices Deployment with AKS and Helm
- Defining Environments with Separate Git Branches
- Implementing Progressive Delivery with Feature Flags
- Setting Up End-to-End Testing in QA
- Securing Production with Approval Gates
- Generating Compliance Documentation
- Writing Pipeline as Code for Full Auditability
- Implementing Immutable Build Agents for Consistency
- Using Self-Hosted Agents for Air-Gapped Networks
- Hardening Agent Security with JIT Access
- Integrating with GitHub Repositories
- Creating Fork-Based Contribution Workflows
- Securing Contributions with PR Policies
- Deploying Static Sites to Azure CDN
- Automating Database Schema Migrations
- Integrating Flyway and Liquibase in CD
- Validating DB Changes in Pre-Production
- Rolling Back Schemas Automatically on Failure
Module 11: Career Advancement and Certification - Building a Professional DevOps Portfolio
- Documenting Your Project Implementations
- Writing Case Studies for Your Resume
- Adding Azure DevOps Projects to LinkedIn
- Preparing for DevOps Interview Questions
- Talking About CI/CD Experience with Confidence
- Highlighting Automation Impact in Performance Reviews
- Leveraging the Certificate of Completion
- Understanding How Hiring Managers Evaluate DevOps Skills
- Networking in DevOps Communities
- Contributing to Open Source Projects
- Presenting Your Work to Leadership
- Using Metrics to Prove Pipeline ROI
- Positioning Yourself for Promotions
- Transitioning to Cloud/DevOps Architect Roles
- Continuing Your Learning Path Beyond This Course
- Joining The Art of Service Alumni Network
- Accessing Exclusive Job Boards and Mentorship
- Updating Your Certificate Annually with New Features
- Receiving Recognition from a Globally Trusted Provider
- Creating Your First Azure Pipeline: Step-by-Step Guide
- Understanding YAML vs Classic Pipeline Design
- Advantages of YAML-Based Pipeline Definitions
- Structure of an Azure Pipeline YAML File
- Defining Stages, Jobs, and Steps
- Using Variables, Parameters, and Templates
- Managing Secrets with Azure Key Vault Integration
- Using Variable Groups for Environment-Specific Configs
- Defining Triggers: Branch, Path, Tag Filters
- Setting Up Path-Based Triggers for Microservices
- Configuring Pull Request and Batch Builds
- Using Strategy: Rolling, Canary, and Rolling Red/Green
- Implementing Conditional Execution with Expressions
- Using Dependencies and Outputs Between Jobs
- Manual Intervention and Approvals in Jobs
- Running Pipelines on Hosted vs Self-Hosted Agents
- Choosing Windows, Linux, or macOS Build Agents
- Installing Tools and Dependencies in Pipelines
- Building .NET, Node.js, Python, and Java Applications
- Parallelising Jobs for Faster Builds
Module 4: Implementing CD Pipelines and Release Strategies - Designing Multi-Stage CD Pipelines with YAML
- Defining Environments: Dev, QA, UAT, Prod
- Linking Pipelines to Environments in Azure DevOps
- Configuring Pre-Deployment and Post-Deployment Gates
- Setting Up Approval Workflows with Multiple Approvers
- Using Azure Monitor and Application Insights for Gates
- Integrating Manual Approvals for Compliance
- Automating Deployment to Azure App Services
- Deploying to Azure Functions with Zero Downtime
- Deploying Containerised Applications to Azure Kubernetes Service
- Pushing Images to Azure Container Registry
- Managing Helm Charts in CD Workflows
- Using ARM Templates for Infrastructure Provisioning
- Integrating Bicep Templates in Pipelines
- Deploying to Azure Virtual Machines via DSC
- Blue-Green Deployments with Traffic Manager
- Canary Releases with Azure Front Door
- Feature Flags and Dynamic Configuration with Azure App Configuration
- Automating Rollbacks with Conditional Logic
- Validating Deployments with Smoke and Health Checks
Module 5: Pipeline Security and Compliance - Securing Pipeline Secrets with Azure Key Vault
- Using Managed Identities for Agent Authentication
- Principle of Least Privilege in Pipeline Design
- Validating Input Parameters to Prevent Injection Attacks
- Scanning for Secrets in Repositories with Azure DevOps Policies
- Implementing Just-In-Time Access for Admin Tasks
- Auditing Pipeline Runs and Changes
- Enabling Audit Logs with Azure Monitor
- Integrating with Azure Policy for Compliance
- Enforcing Naming Conventions and Standards
- Using Pipeline Templates to Standardise Security
- Protecting Production Deployments with Dual Approvals
- Integrating SAST Tools like SonarQube into CI
- Running DAST Scans in Pre-Production Environments
- Validating Infrastructure as Code with Checkov
- Setting Up Policy Enforcement with OPA
- Meeting GDPR, HIPAA, and SOC 2 Requirements
- Generating Compliance Reports from Pipeline Data
- Implementing Immutable Logs for Audit Trails
- Connecting Pipelines to Third-Party Governance Tools
Module 6: Infrastructure as Code with Azure - Introduction to Infrastructure as Code Principles
- Comparing ARM Templates, Bicep, and Terraform
- Writing Your First Bicep Template
- Decompling Resources and Modules in Bicep
- Parameterising Deployments for Reusability
- Using Loops and Conditions in Bicep
- Integrating Bicep into Azure Pipelines
- Deploying Networks, VMs, and Storage with IaC
- Managing State Files Securely in Pipelines
- Using Terraform Cloud with Azure DevOps
- Planning and Applying Terraform in CI/CD
- Handling Terraform State Locking and Collaboration
- Integrating Policy as Code with Sentinel
- Validating IaC Code with linters and static analysis
- Deploying Multi-Region Architectures
- Automating DR Setup with IaC
- Using Azure Policy to Enforce IaC Standards
- Versioning Infrastructure Code in Git
- Drift Detection and Remediation Strategies
- Destroying Environments Safely in CD
Module 7: Testing and Quality Assurance in CI/CD - Integrating Unit Tests in Build Pipelines
- Publishing Test Results to Azure DevOps
- Running Integration Tests in Isolated Environments
- Setting Up Test Environments with Dynamic Provisioning
- Using Deployment Jobs for Environment Lifecycle
- Running E2E Tests with Playwright and Selenium
- Parallelising Test Execution for Speed
- Implementing Test Coverage Reporting
- Enforcing Minimum Coverage Thresholds
- Running Performance Tests in Pipelines
- Using k6 and JMeter for Load Testing
- Publishing Performance Baselines
- Security Testing: SAST, DAST, and SCA Integration
- Using OWASP ZAP in CI Workflows
- Integrating Dependency Scanning with Black Duck
- Preventing Vulnerable Packages from Deploying
- Automating Accessibility Testing in Pipelines
- Running Lighthouse Audits in Headless Mode
- Fail Fast: Breaking Builds on Test Failures
- Retrying Flaky Tests with Conditional Logic
Module 8: Advanced Pipeline Optimisation and Reusability - Creating and Publishing Pipeline Templates
- Using Template Parameters and Expressions
- Versioning and Managing Templates Across Projects
- Sharing Templates via Azure Artifacts
- Importing Templates from Public Repositories
- Using Starter Pipelines for Common Scenarios
- Building Modular Pipelines with Template Inheritance
- Creating Cross-Project Pipeline Integrations
- Chaining Pipelines with Triggered Workflows
- Using APIs to Start Pipelines Programmatically
- Limiting Pipeline Concurrency for Stability
- Optimising Pipeline Caching for Faster Builds
- Using Pipeline Artifacts to Share Outputs
- Publishing Build Artifacts to Azure Storage
- Downloading Artifacts in Downstream Jobs
- Compressing and Versioning Artifacts
- Setting Retention Policies for Builds and Artifacts
- Using Tags and Labels for Build Identification
- Instrumenting Pipelines with Custom Logging
- Analysing Pipeline Performance with Insights
Module 9: Monitoring, Logging, and Observability - Integrating Azure Monitor with CI/CD Pipelines
- Sending Custom Metrics from Pipeline Jobs
- Creating Alerts Based on Deployment Outcomes
- Using Application Insights for Post-Deployment Validation
- Tracking Request Rates and Error Rates After Deployments
- Setting Up Dashboards for Deployment Health
- Logging Pipeline Events to Log Analytics
- Analysing Pipeline Failures with KQL Queries
- Correlating Deployments with Performance Degrades
- Using Azure Workbooks for Operational Reports
- Generating Post-Mortem Reports After Incidents
- Integrating with OpenTelemetry Standards
- Exporting Traces to Third-Party APM Tools
- Measuring MTTR and Deployment Success Rate
- Creating SLI and SLO Dashboards
- Alerting on Golden Signals: Latency, Traffic, Errors, Saturation
- Setting Maintenance Windows for Deployments
- Using Smart Detection for Anomaly Response
- Automating Runbook Execution on Failure
- Connecting to Azure Automation for Remediation
Module 10: Real-World Project Implementation - Project 1: Automating a .NET Core Web App Pipeline
- Project 2: CI/CD for a Serverless Function App
- Project 3: Microservices Deployment with AKS and Helm
- Defining Environments with Separate Git Branches
- Implementing Progressive Delivery with Feature Flags
- Setting Up End-to-End Testing in QA
- Securing Production with Approval Gates
- Generating Compliance Documentation
- Writing Pipeline as Code for Full Auditability
- Implementing Immutable Build Agents for Consistency
- Using Self-Hosted Agents for Air-Gapped Networks
- Hardening Agent Security with JIT Access
- Integrating with GitHub Repositories
- Creating Fork-Based Contribution Workflows
- Securing Contributions with PR Policies
- Deploying Static Sites to Azure CDN
- Automating Database Schema Migrations
- Integrating Flyway and Liquibase in CD
- Validating DB Changes in Pre-Production
- Rolling Back Schemas Automatically on Failure
Module 11: Career Advancement and Certification - Building a Professional DevOps Portfolio
- Documenting Your Project Implementations
- Writing Case Studies for Your Resume
- Adding Azure DevOps Projects to LinkedIn
- Preparing for DevOps Interview Questions
- Talking About CI/CD Experience with Confidence
- Highlighting Automation Impact in Performance Reviews
- Leveraging the Certificate of Completion
- Understanding How Hiring Managers Evaluate DevOps Skills
- Networking in DevOps Communities
- Contributing to Open Source Projects
- Presenting Your Work to Leadership
- Using Metrics to Prove Pipeline ROI
- Positioning Yourself for Promotions
- Transitioning to Cloud/DevOps Architect Roles
- Continuing Your Learning Path Beyond This Course
- Joining The Art of Service Alumni Network
- Accessing Exclusive Job Boards and Mentorship
- Updating Your Certificate Annually with New Features
- Receiving Recognition from a Globally Trusted Provider
- Securing Pipeline Secrets with Azure Key Vault
- Using Managed Identities for Agent Authentication
- Principle of Least Privilege in Pipeline Design
- Validating Input Parameters to Prevent Injection Attacks
- Scanning for Secrets in Repositories with Azure DevOps Policies
- Implementing Just-In-Time Access for Admin Tasks
- Auditing Pipeline Runs and Changes
- Enabling Audit Logs with Azure Monitor
- Integrating with Azure Policy for Compliance
- Enforcing Naming Conventions and Standards
- Using Pipeline Templates to Standardise Security
- Protecting Production Deployments with Dual Approvals
- Integrating SAST Tools like SonarQube into CI
- Running DAST Scans in Pre-Production Environments
- Validating Infrastructure as Code with Checkov
- Setting Up Policy Enforcement with OPA
- Meeting GDPR, HIPAA, and SOC 2 Requirements
- Generating Compliance Reports from Pipeline Data
- Implementing Immutable Logs for Audit Trails
- Connecting Pipelines to Third-Party Governance Tools
Module 6: Infrastructure as Code with Azure - Introduction to Infrastructure as Code Principles
- Comparing ARM Templates, Bicep, and Terraform
- Writing Your First Bicep Template
- Decompling Resources and Modules in Bicep
- Parameterising Deployments for Reusability
- Using Loops and Conditions in Bicep
- Integrating Bicep into Azure Pipelines
- Deploying Networks, VMs, and Storage with IaC
- Managing State Files Securely in Pipelines
- Using Terraform Cloud with Azure DevOps
- Planning and Applying Terraform in CI/CD
- Handling Terraform State Locking and Collaboration
- Integrating Policy as Code with Sentinel
- Validating IaC Code with linters and static analysis
- Deploying Multi-Region Architectures
- Automating DR Setup with IaC
- Using Azure Policy to Enforce IaC Standards
- Versioning Infrastructure Code in Git
- Drift Detection and Remediation Strategies
- Destroying Environments Safely in CD
Module 7: Testing and Quality Assurance in CI/CD - Integrating Unit Tests in Build Pipelines
- Publishing Test Results to Azure DevOps
- Running Integration Tests in Isolated Environments
- Setting Up Test Environments with Dynamic Provisioning
- Using Deployment Jobs for Environment Lifecycle
- Running E2E Tests with Playwright and Selenium
- Parallelising Test Execution for Speed
- Implementing Test Coverage Reporting
- Enforcing Minimum Coverage Thresholds
- Running Performance Tests in Pipelines
- Using k6 and JMeter for Load Testing
- Publishing Performance Baselines
- Security Testing: SAST, DAST, and SCA Integration
- Using OWASP ZAP in CI Workflows
- Integrating Dependency Scanning with Black Duck
- Preventing Vulnerable Packages from Deploying
- Automating Accessibility Testing in Pipelines
- Running Lighthouse Audits in Headless Mode
- Fail Fast: Breaking Builds on Test Failures
- Retrying Flaky Tests with Conditional Logic
Module 8: Advanced Pipeline Optimisation and Reusability - Creating and Publishing Pipeline Templates
- Using Template Parameters and Expressions
- Versioning and Managing Templates Across Projects
- Sharing Templates via Azure Artifacts
- Importing Templates from Public Repositories
- Using Starter Pipelines for Common Scenarios
- Building Modular Pipelines with Template Inheritance
- Creating Cross-Project Pipeline Integrations
- Chaining Pipelines with Triggered Workflows
- Using APIs to Start Pipelines Programmatically
- Limiting Pipeline Concurrency for Stability
- Optimising Pipeline Caching for Faster Builds
- Using Pipeline Artifacts to Share Outputs
- Publishing Build Artifacts to Azure Storage
- Downloading Artifacts in Downstream Jobs
- Compressing and Versioning Artifacts
- Setting Retention Policies for Builds and Artifacts
- Using Tags and Labels for Build Identification
- Instrumenting Pipelines with Custom Logging
- Analysing Pipeline Performance with Insights
Module 9: Monitoring, Logging, and Observability - Integrating Azure Monitor with CI/CD Pipelines
- Sending Custom Metrics from Pipeline Jobs
- Creating Alerts Based on Deployment Outcomes
- Using Application Insights for Post-Deployment Validation
- Tracking Request Rates and Error Rates After Deployments
- Setting Up Dashboards for Deployment Health
- Logging Pipeline Events to Log Analytics
- Analysing Pipeline Failures with KQL Queries
- Correlating Deployments with Performance Degrades
- Using Azure Workbooks for Operational Reports
- Generating Post-Mortem Reports After Incidents
- Integrating with OpenTelemetry Standards
- Exporting Traces to Third-Party APM Tools
- Measuring MTTR and Deployment Success Rate
- Creating SLI and SLO Dashboards
- Alerting on Golden Signals: Latency, Traffic, Errors, Saturation
- Setting Maintenance Windows for Deployments
- Using Smart Detection for Anomaly Response
- Automating Runbook Execution on Failure
- Connecting to Azure Automation for Remediation
Module 10: Real-World Project Implementation - Project 1: Automating a .NET Core Web App Pipeline
- Project 2: CI/CD for a Serverless Function App
- Project 3: Microservices Deployment with AKS and Helm
- Defining Environments with Separate Git Branches
- Implementing Progressive Delivery with Feature Flags
- Setting Up End-to-End Testing in QA
- Securing Production with Approval Gates
- Generating Compliance Documentation
- Writing Pipeline as Code for Full Auditability
- Implementing Immutable Build Agents for Consistency
- Using Self-Hosted Agents for Air-Gapped Networks
- Hardening Agent Security with JIT Access
- Integrating with GitHub Repositories
- Creating Fork-Based Contribution Workflows
- Securing Contributions with PR Policies
- Deploying Static Sites to Azure CDN
- Automating Database Schema Migrations
- Integrating Flyway and Liquibase in CD
- Validating DB Changes in Pre-Production
- Rolling Back Schemas Automatically on Failure
Module 11: Career Advancement and Certification - Building a Professional DevOps Portfolio
- Documenting Your Project Implementations
- Writing Case Studies for Your Resume
- Adding Azure DevOps Projects to LinkedIn
- Preparing for DevOps Interview Questions
- Talking About CI/CD Experience with Confidence
- Highlighting Automation Impact in Performance Reviews
- Leveraging the Certificate of Completion
- Understanding How Hiring Managers Evaluate DevOps Skills
- Networking in DevOps Communities
- Contributing to Open Source Projects
- Presenting Your Work to Leadership
- Using Metrics to Prove Pipeline ROI
- Positioning Yourself for Promotions
- Transitioning to Cloud/DevOps Architect Roles
- Continuing Your Learning Path Beyond This Course
- Joining The Art of Service Alumni Network
- Accessing Exclusive Job Boards and Mentorship
- Updating Your Certificate Annually with New Features
- Receiving Recognition from a Globally Trusted Provider
- Integrating Unit Tests in Build Pipelines
- Publishing Test Results to Azure DevOps
- Running Integration Tests in Isolated Environments
- Setting Up Test Environments with Dynamic Provisioning
- Using Deployment Jobs for Environment Lifecycle
- Running E2E Tests with Playwright and Selenium
- Parallelising Test Execution for Speed
- Implementing Test Coverage Reporting
- Enforcing Minimum Coverage Thresholds
- Running Performance Tests in Pipelines
- Using k6 and JMeter for Load Testing
- Publishing Performance Baselines
- Security Testing: SAST, DAST, and SCA Integration
- Using OWASP ZAP in CI Workflows
- Integrating Dependency Scanning with Black Duck
- Preventing Vulnerable Packages from Deploying
- Automating Accessibility Testing in Pipelines
- Running Lighthouse Audits in Headless Mode
- Fail Fast: Breaking Builds on Test Failures
- Retrying Flaky Tests with Conditional Logic
Module 8: Advanced Pipeline Optimisation and Reusability - Creating and Publishing Pipeline Templates
- Using Template Parameters and Expressions
- Versioning and Managing Templates Across Projects
- Sharing Templates via Azure Artifacts
- Importing Templates from Public Repositories
- Using Starter Pipelines for Common Scenarios
- Building Modular Pipelines with Template Inheritance
- Creating Cross-Project Pipeline Integrations
- Chaining Pipelines with Triggered Workflows
- Using APIs to Start Pipelines Programmatically
- Limiting Pipeline Concurrency for Stability
- Optimising Pipeline Caching for Faster Builds
- Using Pipeline Artifacts to Share Outputs
- Publishing Build Artifacts to Azure Storage
- Downloading Artifacts in Downstream Jobs
- Compressing and Versioning Artifacts
- Setting Retention Policies for Builds and Artifacts
- Using Tags and Labels for Build Identification
- Instrumenting Pipelines with Custom Logging
- Analysing Pipeline Performance with Insights
Module 9: Monitoring, Logging, and Observability - Integrating Azure Monitor with CI/CD Pipelines
- Sending Custom Metrics from Pipeline Jobs
- Creating Alerts Based on Deployment Outcomes
- Using Application Insights for Post-Deployment Validation
- Tracking Request Rates and Error Rates After Deployments
- Setting Up Dashboards for Deployment Health
- Logging Pipeline Events to Log Analytics
- Analysing Pipeline Failures with KQL Queries
- Correlating Deployments with Performance Degrades
- Using Azure Workbooks for Operational Reports
- Generating Post-Mortem Reports After Incidents
- Integrating with OpenTelemetry Standards
- Exporting Traces to Third-Party APM Tools
- Measuring MTTR and Deployment Success Rate
- Creating SLI and SLO Dashboards
- Alerting on Golden Signals: Latency, Traffic, Errors, Saturation
- Setting Maintenance Windows for Deployments
- Using Smart Detection for Anomaly Response
- Automating Runbook Execution on Failure
- Connecting to Azure Automation for Remediation
Module 10: Real-World Project Implementation - Project 1: Automating a .NET Core Web App Pipeline
- Project 2: CI/CD for a Serverless Function App
- Project 3: Microservices Deployment with AKS and Helm
- Defining Environments with Separate Git Branches
- Implementing Progressive Delivery with Feature Flags
- Setting Up End-to-End Testing in QA
- Securing Production with Approval Gates
- Generating Compliance Documentation
- Writing Pipeline as Code for Full Auditability
- Implementing Immutable Build Agents for Consistency
- Using Self-Hosted Agents for Air-Gapped Networks
- Hardening Agent Security with JIT Access
- Integrating with GitHub Repositories
- Creating Fork-Based Contribution Workflows
- Securing Contributions with PR Policies
- Deploying Static Sites to Azure CDN
- Automating Database Schema Migrations
- Integrating Flyway and Liquibase in CD
- Validating DB Changes in Pre-Production
- Rolling Back Schemas Automatically on Failure
Module 11: Career Advancement and Certification - Building a Professional DevOps Portfolio
- Documenting Your Project Implementations
- Writing Case Studies for Your Resume
- Adding Azure DevOps Projects to LinkedIn
- Preparing for DevOps Interview Questions
- Talking About CI/CD Experience with Confidence
- Highlighting Automation Impact in Performance Reviews
- Leveraging the Certificate of Completion
- Understanding How Hiring Managers Evaluate DevOps Skills
- Networking in DevOps Communities
- Contributing to Open Source Projects
- Presenting Your Work to Leadership
- Using Metrics to Prove Pipeline ROI
- Positioning Yourself for Promotions
- Transitioning to Cloud/DevOps Architect Roles
- Continuing Your Learning Path Beyond This Course
- Joining The Art of Service Alumni Network
- Accessing Exclusive Job Boards and Mentorship
- Updating Your Certificate Annually with New Features
- Receiving Recognition from a Globally Trusted Provider
- Integrating Azure Monitor with CI/CD Pipelines
- Sending Custom Metrics from Pipeline Jobs
- Creating Alerts Based on Deployment Outcomes
- Using Application Insights for Post-Deployment Validation
- Tracking Request Rates and Error Rates After Deployments
- Setting Up Dashboards for Deployment Health
- Logging Pipeline Events to Log Analytics
- Analysing Pipeline Failures with KQL Queries
- Correlating Deployments with Performance Degrades
- Using Azure Workbooks for Operational Reports
- Generating Post-Mortem Reports After Incidents
- Integrating with OpenTelemetry Standards
- Exporting Traces to Third-Party APM Tools
- Measuring MTTR and Deployment Success Rate
- Creating SLI and SLO Dashboards
- Alerting on Golden Signals: Latency, Traffic, Errors, Saturation
- Setting Maintenance Windows for Deployments
- Using Smart Detection for Anomaly Response
- Automating Runbook Execution on Failure
- Connecting to Azure Automation for Remediation
Module 10: Real-World Project Implementation - Project 1: Automating a .NET Core Web App Pipeline
- Project 2: CI/CD for a Serverless Function App
- Project 3: Microservices Deployment with AKS and Helm
- Defining Environments with Separate Git Branches
- Implementing Progressive Delivery with Feature Flags
- Setting Up End-to-End Testing in QA
- Securing Production with Approval Gates
- Generating Compliance Documentation
- Writing Pipeline as Code for Full Auditability
- Implementing Immutable Build Agents for Consistency
- Using Self-Hosted Agents for Air-Gapped Networks
- Hardening Agent Security with JIT Access
- Integrating with GitHub Repositories
- Creating Fork-Based Contribution Workflows
- Securing Contributions with PR Policies
- Deploying Static Sites to Azure CDN
- Automating Database Schema Migrations
- Integrating Flyway and Liquibase in CD
- Validating DB Changes in Pre-Production
- Rolling Back Schemas Automatically on Failure
Module 11: Career Advancement and Certification - Building a Professional DevOps Portfolio
- Documenting Your Project Implementations
- Writing Case Studies for Your Resume
- Adding Azure DevOps Projects to LinkedIn
- Preparing for DevOps Interview Questions
- Talking About CI/CD Experience with Confidence
- Highlighting Automation Impact in Performance Reviews
- Leveraging the Certificate of Completion
- Understanding How Hiring Managers Evaluate DevOps Skills
- Networking in DevOps Communities
- Contributing to Open Source Projects
- Presenting Your Work to Leadership
- Using Metrics to Prove Pipeline ROI
- Positioning Yourself for Promotions
- Transitioning to Cloud/DevOps Architect Roles
- Continuing Your Learning Path Beyond This Course
- Joining The Art of Service Alumni Network
- Accessing Exclusive Job Boards and Mentorship
- Updating Your Certificate Annually with New Features
- Receiving Recognition from a Globally Trusted Provider
- Building a Professional DevOps Portfolio
- Documenting Your Project Implementations
- Writing Case Studies for Your Resume
- Adding Azure DevOps Projects to LinkedIn
- Preparing for DevOps Interview Questions
- Talking About CI/CD Experience with Confidence
- Highlighting Automation Impact in Performance Reviews
- Leveraging the Certificate of Completion
- Understanding How Hiring Managers Evaluate DevOps Skills
- Networking in DevOps Communities
- Contributing to Open Source Projects
- Presenting Your Work to Leadership
- Using Metrics to Prove Pipeline ROI
- Positioning Yourself for Promotions
- Transitioning to Cloud/DevOps Architect Roles
- Continuing Your Learning Path Beyond This Course
- Joining The Art of Service Alumni Network
- Accessing Exclusive Job Boards and Mentorship
- Updating Your Certificate Annually with New Features
- Receiving Recognition from a Globally Trusted Provider