Mastering DevOps Automation for Future-Proof Career Growth
You're not behind. You're not broken. But you can feel it-the pressure building. Legacy systems, manual processes, constant firefighting. The gap between what your organisation demands and what your current skillset delivers is widening. Promotions slow. Projects stall. Recognition fades. You’re stuck in execution mode, not innovation. Meanwhile, elite DevOps professionals are not just surviving-they're leading. They’re automating complex pipelines, eliminating downtime, and securing roles at cloud-first enterprises. They're the ones getting fast-tracked, promoted, and paid premium salaries. The difference? Mastery of automation-not just tools, but end-to-end strategy, integration, and leadership. Mastering DevOps Automation for Future-Proof Career Growth is not another theoretical guide. It’s the systematic, battle-tested pathway from reactive engineer to strategic automation architect-designed for professionals who want to turn their technical skills into career capital. This program transforms you from concept to implementation in under 60 days. You’ll build a fully automated CI/CD pipeline, integrate Infrastructure as Code at scale, and deliver a production-ready DevOps automation framework with full audit trail and failure resilience-a portfolio-grade project that proves your expertise to hiring managers and leadership alike. Just ask Ana R., a Senior SysOps Engineer from Dublin, who completed the course while transitioning teams. Within two weeks of applying the pipeline optimisation framework, she automated 28 manual deployment steps, reducing rollout time from 3 hours to 18 minutes. Her work was fast-tracked to VP review, and she received a 34% salary increase with formal recognition as a “key automation enabler” in her organisation. No vague promises. No fluff. This is the definitive roadmap for engineers, developers, and IT leaders who refuse to be replaced by the very tools they should be mastering. Here’s how this course is structured to help you get there.Course Format & Delivery Details Learn On Your Terms-No Compromises
The Mastering DevOps Automation for Future-Proof Career Growth program is entirely self-paced, giving you complete control over your learning journey. Enrol once, access instantly online, and progress on your own schedule-no live sessions, no deadlines, no pressure. This is an on-demand experience designed for working professionals. Whether you’re balancing a full-time role, night shifts, or global time zones, you can access your materials 24/7 from any device. The interface is mobile-friendly, supports offline topic downloads, and syncs your progress across platforms-learn during your commute, between meetings, or from the comfort of your home office. Fast Results. Real Projects. Lifetime Access.
Most learners complete the program in 6 to 8 weeks with consistent 45-minute daily engagement. However, many report applying core automation frameworks to live projects within the first 10 days-delivering measurable efficiency gains before finishing the course. You receive lifetime access to all materials. This includes every tool template, configuration script, and architecture blueprint-plus all future updates at no additional cost. As new DevOps tools emerge and practices evolve, your access evolves with them. No re-purchase. No expiration. No hidden fees. Direct Expert Guidance & Continuous Support
Every enrolment includes structured instructor support through asynchronous feedback channels. Submit your automation design, pipeline architecture, or infrastructure plan, and receive detailed technical review from certified DevOps architects with 15+ years in cloud transformation. You’re never left guessing. Whether you’re debugging a Terraform deployment or optimising Jenkins for zero-downtime, guidance is built into critical milestones. This is not a passive resource library-it’s a guided transformation with real technical oversight. You Earn a Globally Recognised Certificate of Completion
Upon finishing all modules and submitting your final automation framework, you will receive a Certificate of Completion issued by The Art of Service. This credential is trusted by IT leaders in 127 countries, recognised on LinkedIn, and designed to validate your advanced DevOps competence to employers, auditors, and hiring managers. The Art of Service has trained over 400,000 professionals in enterprise best practices. Our certifications are referenced in job descriptions, used in internal promotions, and cited in audit compliance. This is not just a completion badge-it’s a career accelerator with measurable credibility. No Risk. Full Confidence. Guaranteed Results.
We eliminate financial risk with our 45-day money-back guarantee. If you complete the first four modules, apply the process templates to your environment, and don’t see clear improvement in your workflow efficiency or skill confidence, simply request a full refund. No questions asked. This works even if you’ve never written a build script, lack CI/CD exposure, or work in a non-cloud environment. The curriculum is engineered for adaptation, not replication. Learn to automate legacy systems, hybrid architectures, and legacy-bound production zones-then scale to cloud-native when ready. You’re not just paying for content. You’re investing in a professional transformation with built-in risk reversal. And if you think “I don’t have time,” consider that every lesson is designed for integration into your existing workflow-learn while automating real tasks, not hypothetical exercises. Payment & Access: Simple, Secure, Transparent
Pricing is straightforward with zero hidden fees. There are no subscriptions, no instalments, and no surprise charges. One payment grants full access to everything. We accept all major payment methods including Visa, Mastercard, and PayPal. After enrolment, you’ll receive a confirmation email. Your access credentials and course entry details will be sent separately once your learning profile is fully activated-ensuring secure, verified access to your materials. Your journey begins the moment you’re ready. No waiting. No gatekeeping. Just clarity, support, and a direct line to elite DevOps mastery.
Module 1: Foundations of DevOps Automation Strategy - Understanding the DevOps lifecycle and automation touchpoints
- Differentiating DevOps automation from traditional IT operations
- Identifying automation candidates in development, testing, and deployment
- The cost of manual processes: Downtime, errors, and opportunity cost
- Mapping organisational pain points to automation solutions
- Key DevOps principles: Collaboration, feedback loops, and shared ownership
- The role of automation in CI/CD success
- Defining your automation roadmap with business alignment
- Auditing legacy systems for automation readiness
- Establishing success metrics: MTTR, deployment frequency, lead time
- Creating an automation-first mindset across teams
- Security and compliance as automation enablers
- Integrating automation into DevOps culture
- Overcoming resistance to change with incremental wins
- Aligning automation goals with ITIL and SRE practices
Module 2: Continuous Integration & Pipeline Design - Core concepts of Continuous Integration (CI)
- Setting up a version control workflow with branching strategies
- Automating code integration with pre-commit hooks
- Configuring automated build triggers and dependencies
- Designing idempotent build processes for consistency
- Parallelisation and build matrix optimisation
- Linting, static analysis, and code quality gates
- Unit testing automation within the CI pipeline
- Fail-fast principles in pipeline execution
- Environment parity across development, staging, and production
- Environment spin-up and teardown using pipeline scripts
- Pipeline debugging and error tracing techniques
- Logging and monitoring within pipeline execution
- Configuring notification systems for pipeline status
- Securing pipeline credentials and secrets
- Integrating vulnerability scanning in early pipeline stages
- Measuring CI effectiveness with process KPIs
Module 3: Continuous Delivery & Deployment Automation - Differentiating CD from CI: Release vs integration
- Automating artifact creation and package versioning
- Storing and retrieving build artifacts in registries
- Deploying to staging environments with approval gates
- Blue-green deployment strategies and automation
- Canary release workflows and traffic shifting
- Automated rollback mechanisms for failed deployments
- Database schema migration in deployment pipelines
- Managing stateful services in automated deployments
- Zero-downtime deployment patterns
- Testing in production: feature flags and dark launches
- Health checks and post-deployment validation
- Scheduled and time-based deployment automation
- Capacity planning for deployment workflows
- Handling dependencies between microservices
- Integration with change management systems
- Documenting and auditing deployment decisions
Module 4: Configuration Management with Ansible, Puppet & Chef - Introduction to configuration management and idempotency
- Selecting between Ansible, Puppet, and Chef
- Designing reusable configuration playbooks and recipes
- Storing configuration data in version control
- Managing configuration drift across environments
- Secrets and credential management in config tools
- Orchestrating configuration runs across server fleets
- Integrating configuration management with CI/CD
- Testing configuration changes in isolated environments
- Versioning and rollback of configuration states
- Reporting compliance and configuration status
- Scaling configuration management for enterprise
- Securing communication between agents and masters
- Infrastructure hygiene and patch automation
- Automating OS baseline compliance
- Config drift detection and alerting
- Integrating configuration audits with governance frameworks
Module 5: Infrastructure as Code with Terraform & CloudFormation - Principles of Infrastructure as Code (IaC)
- Declarative vs imperative provisioning approaches
- Managing cloud resources with Terraform
- Writing reusable, modular Terraform configurations
- State management and backend configuration
- Remote state locking and team collaboration
- Versioning IaC with Git workflows
- Validating IaC syntax and structure
- AWS CloudFormation vs Terraform: When to use which
- Defining templates for consistent environment deployment
- Parameterising configurations for multiple environments
- Automating cloud firewall and network policies
- Managing shared services with IaC
- Cost estimation using IaC planning tools
- Integrating IaC into CI/CD pipelines
- Drift detection and reconciliation in automated infrastructure
- Testing IaC with tools like Terratest and Checkov
- Enforcing security policies in IaC templates
- Multi-cloud and hybrid infrastructure patterns
- Managing legacy and cloud workloads together
Module 6: Containerisation & Orchestration with Docker & Kubernetes - From VMs to containers: Understanding the container revolution
- Building lightweight, secure Docker images
- Optimising Dockerfile structure for performance
- Multi-stage builds and image layer reduction
- Container networking and service discovery
- Managing container storage and volumes
- Container security best practices
- Automated image scanning and vulnerability detection
- Integrating Docker builds into CI pipelines
- Container registry management with Docker Hub and private registries
- Introduction to Kubernetes architecture
- Deploying applications using Kubernetes manifests
- Automating scaling with Horizontal Pod Autoscaler
- Configuring rolling updates and health probes
- Managing Secrets and ConfigMaps in Kubernetes
- Namespace isolation and resource quotas
- Ingress and service exposure automation
- Logging and monitoring containerised applications
- Kubernetes Operators and custom automation
- GitOps workflows with ArgoCD and Flux
- Cluster lifecycle automation with Kops and EKS
Module 7: Monitoring, Logging & Observability Automation - Designing observability into automated systems
- Centralised logging with ELK and Grafana Loki
- Automated log collection from containers and VMs
- Log parsing, indexing, and retention policies
- Real-time alerting and incident response
- Metrics collection with Prometheus
- Service-level monitoring with SLOs and SLIs
- Automated dashboard generation and reporting
- Distributed tracing with Jaeger and OpenTelemetry
- Correlating logs, metrics, and traces for root cause analysis
- Setting up anomaly detection with machine learning models
- Automating alert triage and escalation policies
- Incident response playbooks with automated triggers
- Monitoring pipeline performance and bottlenecks
- Business-impacting metrics in DevOps observability
- Visualisation tools: Grafana, Kibana, and custom dashboards
- Automating compliance reporting with observability data
- Reducing alert fatigue with signal-to-noise filtering
Module 8: Security Automation & Compliance as Code - Shifting security left in the DevOps pipeline
- Automating security scans in CI/CD workflows
- Static Application Security Testing (SAST)
- Dynamic Application Security Testing (DAST)
- Software Composition Analysis (SCA) for open-source risks
- Container and image vulnerability scanning
- IaC security scanning with Checkov and TFLint
- Configuring policy-as-code with Open Policy Agent (OPA)
- Automating encryption and certificate management
- Secrets rotation and secure storage with HashiCorp Vault
- Automated compliance checks for GDPR, HIPAA, SOC 2
- Generating audit-ready compliance reports
- Automating access control and role provisioning
- Integrating security tools with incident management
- Security response automation with SOAR platforms
- Automated penetration test scheduling and reporting
- Reporting vulnerabilities with context and remediation paths
- Enforcing security policies through automated gates
Module 9: Cloud Automation & Multi-Cloud Strategy - Cloud provider comparison: AWS, Azure, GCP automation features
- Automating resource provisioning across cloud platforms
- Cloud-specific automation tools: AWS Lambda, Azure Functions, Cloud Run
- Handling cloud billing and cost alerts programmatically
- Tagging strategies for automated cost allocation
- Cross-cloud deployment patterns and routing
- Automating zone failover and disaster recovery
- Data sovereignty and regulatory automation
- Automated cloud security group management
- Cloud network automation with VPCs and firewalls
- Automated performance benchmarking across clouds
- Managing multi-cloud identity and access
- Optimising for egress costs and latency
- IaC for hybrid and edge computing environments
- Cloud-native backup and restore automation
- Monitoring cloud service health and status
- Automating cloud migration assessments
Module 10: Pipeline Optimisation & Performance Engineering - Measuring pipeline performance: Duration, success rate, stability
- Identifying pipeline bottlenecks and inefficiencies
- Parallel execution and job concurrency tuning
- Build caching strategies for speed improvement
- Dependency management and version pinning
- Environment provisioning automation
- Test suite optimisation: Parallel runs and selective execution
- Fail-fast feedback mechanisms
- Reducing pipeline flakiness with stable environments
- Automated pipeline health reporting
- Analytical tools for pipeline insight
- Managing pipeline scaling for large teams
- Resource allocation and agent optimisation
- Infrastructure performance tuning for CI agents
- Using metrics to justify pipeline investment
- Optimising third-party tool integrations
- Automated cleanup of stale jobs and artifacts
Module 11: Hands-On Project: Build Your Automated DevOps Framework - Defining project scope: From idea to production-grade automation
- Selecting target environment: On-prem, cloud, or hybrid
- Designing a modular, reusable automation architecture
- Integrating version control with branching and PR workflows
- Configuring CI/CD with Jenkins, GitHub Actions, or GitLab CI
- Automating build, test, and deployment stages
- Implementing Infrastructure as Code for environment creation
- Setting up configuration management with Ansible
- Containerising application with Docker
- Orchestrating with Kubernetes or managed services
- Integrating monitoring with Prometheus and Grafana
- Adding logging with ELK or Loki
- Securing pipeline with SAST, DAST, and secrets management
- Automating compliance and audit trail generation
- Implementing zero-downtime deployment strategy
- Configuring rollback and health validation
- Adding automated notification and escalation
- Generating documentation from code and process
- Testing end-to-end automation in staging
- Submitting final framework for structured review
Module 12: DevOps Automation Leadership & Career Advancement - Transitioning from automation user to automation leader
- Creating automation champions within teams
- Mentoring others in DevOps best practices
- Presenting automation ROI to technical and non-technical leaders
- Building a personal brand as a DevOps expert
- Updating your resume and LinkedIn with automation impact
- Creating a portfolio of automation projects
- Speaking at internal tech talks and user groups
- Preparing for DevOps engineering and SRE interviews
- Benchmarking your skills against industry standards
- Setting long-term career goals in automation and cloud
- Navigating promotions and job transitions
- Continuing education in advanced DevOps practices
- Contributing to open-source automation tools
- Engaging with professional DevOps communities
- The future of automation: AI, self-healing systems, and beyond
- Leveraging your Certificate of Completion for career leverage
- Next steps after course completion: certifications, roles, pathways
- Lifetime access as a career insurance policy
- Understanding the DevOps lifecycle and automation touchpoints
- Differentiating DevOps automation from traditional IT operations
- Identifying automation candidates in development, testing, and deployment
- The cost of manual processes: Downtime, errors, and opportunity cost
- Mapping organisational pain points to automation solutions
- Key DevOps principles: Collaboration, feedback loops, and shared ownership
- The role of automation in CI/CD success
- Defining your automation roadmap with business alignment
- Auditing legacy systems for automation readiness
- Establishing success metrics: MTTR, deployment frequency, lead time
- Creating an automation-first mindset across teams
- Security and compliance as automation enablers
- Integrating automation into DevOps culture
- Overcoming resistance to change with incremental wins
- Aligning automation goals with ITIL and SRE practices
Module 2: Continuous Integration & Pipeline Design - Core concepts of Continuous Integration (CI)
- Setting up a version control workflow with branching strategies
- Automating code integration with pre-commit hooks
- Configuring automated build triggers and dependencies
- Designing idempotent build processes for consistency
- Parallelisation and build matrix optimisation
- Linting, static analysis, and code quality gates
- Unit testing automation within the CI pipeline
- Fail-fast principles in pipeline execution
- Environment parity across development, staging, and production
- Environment spin-up and teardown using pipeline scripts
- Pipeline debugging and error tracing techniques
- Logging and monitoring within pipeline execution
- Configuring notification systems for pipeline status
- Securing pipeline credentials and secrets
- Integrating vulnerability scanning in early pipeline stages
- Measuring CI effectiveness with process KPIs
Module 3: Continuous Delivery & Deployment Automation - Differentiating CD from CI: Release vs integration
- Automating artifact creation and package versioning
- Storing and retrieving build artifacts in registries
- Deploying to staging environments with approval gates
- Blue-green deployment strategies and automation
- Canary release workflows and traffic shifting
- Automated rollback mechanisms for failed deployments
- Database schema migration in deployment pipelines
- Managing stateful services in automated deployments
- Zero-downtime deployment patterns
- Testing in production: feature flags and dark launches
- Health checks and post-deployment validation
- Scheduled and time-based deployment automation
- Capacity planning for deployment workflows
- Handling dependencies between microservices
- Integration with change management systems
- Documenting and auditing deployment decisions
Module 4: Configuration Management with Ansible, Puppet & Chef - Introduction to configuration management and idempotency
- Selecting between Ansible, Puppet, and Chef
- Designing reusable configuration playbooks and recipes
- Storing configuration data in version control
- Managing configuration drift across environments
- Secrets and credential management in config tools
- Orchestrating configuration runs across server fleets
- Integrating configuration management with CI/CD
- Testing configuration changes in isolated environments
- Versioning and rollback of configuration states
- Reporting compliance and configuration status
- Scaling configuration management for enterprise
- Securing communication between agents and masters
- Infrastructure hygiene and patch automation
- Automating OS baseline compliance
- Config drift detection and alerting
- Integrating configuration audits with governance frameworks
Module 5: Infrastructure as Code with Terraform & CloudFormation - Principles of Infrastructure as Code (IaC)
- Declarative vs imperative provisioning approaches
- Managing cloud resources with Terraform
- Writing reusable, modular Terraform configurations
- State management and backend configuration
- Remote state locking and team collaboration
- Versioning IaC with Git workflows
- Validating IaC syntax and structure
- AWS CloudFormation vs Terraform: When to use which
- Defining templates for consistent environment deployment
- Parameterising configurations for multiple environments
- Automating cloud firewall and network policies
- Managing shared services with IaC
- Cost estimation using IaC planning tools
- Integrating IaC into CI/CD pipelines
- Drift detection and reconciliation in automated infrastructure
- Testing IaC with tools like Terratest and Checkov
- Enforcing security policies in IaC templates
- Multi-cloud and hybrid infrastructure patterns
- Managing legacy and cloud workloads together
Module 6: Containerisation & Orchestration with Docker & Kubernetes - From VMs to containers: Understanding the container revolution
- Building lightweight, secure Docker images
- Optimising Dockerfile structure for performance
- Multi-stage builds and image layer reduction
- Container networking and service discovery
- Managing container storage and volumes
- Container security best practices
- Automated image scanning and vulnerability detection
- Integrating Docker builds into CI pipelines
- Container registry management with Docker Hub and private registries
- Introduction to Kubernetes architecture
- Deploying applications using Kubernetes manifests
- Automating scaling with Horizontal Pod Autoscaler
- Configuring rolling updates and health probes
- Managing Secrets and ConfigMaps in Kubernetes
- Namespace isolation and resource quotas
- Ingress and service exposure automation
- Logging and monitoring containerised applications
- Kubernetes Operators and custom automation
- GitOps workflows with ArgoCD and Flux
- Cluster lifecycle automation with Kops and EKS
Module 7: Monitoring, Logging & Observability Automation - Designing observability into automated systems
- Centralised logging with ELK and Grafana Loki
- Automated log collection from containers and VMs
- Log parsing, indexing, and retention policies
- Real-time alerting and incident response
- Metrics collection with Prometheus
- Service-level monitoring with SLOs and SLIs
- Automated dashboard generation and reporting
- Distributed tracing with Jaeger and OpenTelemetry
- Correlating logs, metrics, and traces for root cause analysis
- Setting up anomaly detection with machine learning models
- Automating alert triage and escalation policies
- Incident response playbooks with automated triggers
- Monitoring pipeline performance and bottlenecks
- Business-impacting metrics in DevOps observability
- Visualisation tools: Grafana, Kibana, and custom dashboards
- Automating compliance reporting with observability data
- Reducing alert fatigue with signal-to-noise filtering
Module 8: Security Automation & Compliance as Code - Shifting security left in the DevOps pipeline
- Automating security scans in CI/CD workflows
- Static Application Security Testing (SAST)
- Dynamic Application Security Testing (DAST)
- Software Composition Analysis (SCA) for open-source risks
- Container and image vulnerability scanning
- IaC security scanning with Checkov and TFLint
- Configuring policy-as-code with Open Policy Agent (OPA)
- Automating encryption and certificate management
- Secrets rotation and secure storage with HashiCorp Vault
- Automated compliance checks for GDPR, HIPAA, SOC 2
- Generating audit-ready compliance reports
- Automating access control and role provisioning
- Integrating security tools with incident management
- Security response automation with SOAR platforms
- Automated penetration test scheduling and reporting
- Reporting vulnerabilities with context and remediation paths
- Enforcing security policies through automated gates
Module 9: Cloud Automation & Multi-Cloud Strategy - Cloud provider comparison: AWS, Azure, GCP automation features
- Automating resource provisioning across cloud platforms
- Cloud-specific automation tools: AWS Lambda, Azure Functions, Cloud Run
- Handling cloud billing and cost alerts programmatically
- Tagging strategies for automated cost allocation
- Cross-cloud deployment patterns and routing
- Automating zone failover and disaster recovery
- Data sovereignty and regulatory automation
- Automated cloud security group management
- Cloud network automation with VPCs and firewalls
- Automated performance benchmarking across clouds
- Managing multi-cloud identity and access
- Optimising for egress costs and latency
- IaC for hybrid and edge computing environments
- Cloud-native backup and restore automation
- Monitoring cloud service health and status
- Automating cloud migration assessments
Module 10: Pipeline Optimisation & Performance Engineering - Measuring pipeline performance: Duration, success rate, stability
- Identifying pipeline bottlenecks and inefficiencies
- Parallel execution and job concurrency tuning
- Build caching strategies for speed improvement
- Dependency management and version pinning
- Environment provisioning automation
- Test suite optimisation: Parallel runs and selective execution
- Fail-fast feedback mechanisms
- Reducing pipeline flakiness with stable environments
- Automated pipeline health reporting
- Analytical tools for pipeline insight
- Managing pipeline scaling for large teams
- Resource allocation and agent optimisation
- Infrastructure performance tuning for CI agents
- Using metrics to justify pipeline investment
- Optimising third-party tool integrations
- Automated cleanup of stale jobs and artifacts
Module 11: Hands-On Project: Build Your Automated DevOps Framework - Defining project scope: From idea to production-grade automation
- Selecting target environment: On-prem, cloud, or hybrid
- Designing a modular, reusable automation architecture
- Integrating version control with branching and PR workflows
- Configuring CI/CD with Jenkins, GitHub Actions, or GitLab CI
- Automating build, test, and deployment stages
- Implementing Infrastructure as Code for environment creation
- Setting up configuration management with Ansible
- Containerising application with Docker
- Orchestrating with Kubernetes or managed services
- Integrating monitoring with Prometheus and Grafana
- Adding logging with ELK or Loki
- Securing pipeline with SAST, DAST, and secrets management
- Automating compliance and audit trail generation
- Implementing zero-downtime deployment strategy
- Configuring rollback and health validation
- Adding automated notification and escalation
- Generating documentation from code and process
- Testing end-to-end automation in staging
- Submitting final framework for structured review
Module 12: DevOps Automation Leadership & Career Advancement - Transitioning from automation user to automation leader
- Creating automation champions within teams
- Mentoring others in DevOps best practices
- Presenting automation ROI to technical and non-technical leaders
- Building a personal brand as a DevOps expert
- Updating your resume and LinkedIn with automation impact
- Creating a portfolio of automation projects
- Speaking at internal tech talks and user groups
- Preparing for DevOps engineering and SRE interviews
- Benchmarking your skills against industry standards
- Setting long-term career goals in automation and cloud
- Navigating promotions and job transitions
- Continuing education in advanced DevOps practices
- Contributing to open-source automation tools
- Engaging with professional DevOps communities
- The future of automation: AI, self-healing systems, and beyond
- Leveraging your Certificate of Completion for career leverage
- Next steps after course completion: certifications, roles, pathways
- Lifetime access as a career insurance policy
- Differentiating CD from CI: Release vs integration
- Automating artifact creation and package versioning
- Storing and retrieving build artifacts in registries
- Deploying to staging environments with approval gates
- Blue-green deployment strategies and automation
- Canary release workflows and traffic shifting
- Automated rollback mechanisms for failed deployments
- Database schema migration in deployment pipelines
- Managing stateful services in automated deployments
- Zero-downtime deployment patterns
- Testing in production: feature flags and dark launches
- Health checks and post-deployment validation
- Scheduled and time-based deployment automation
- Capacity planning for deployment workflows
- Handling dependencies between microservices
- Integration with change management systems
- Documenting and auditing deployment decisions
Module 4: Configuration Management with Ansible, Puppet & Chef - Introduction to configuration management and idempotency
- Selecting between Ansible, Puppet, and Chef
- Designing reusable configuration playbooks and recipes
- Storing configuration data in version control
- Managing configuration drift across environments
- Secrets and credential management in config tools
- Orchestrating configuration runs across server fleets
- Integrating configuration management with CI/CD
- Testing configuration changes in isolated environments
- Versioning and rollback of configuration states
- Reporting compliance and configuration status
- Scaling configuration management for enterprise
- Securing communication between agents and masters
- Infrastructure hygiene and patch automation
- Automating OS baseline compliance
- Config drift detection and alerting
- Integrating configuration audits with governance frameworks
Module 5: Infrastructure as Code with Terraform & CloudFormation - Principles of Infrastructure as Code (IaC)
- Declarative vs imperative provisioning approaches
- Managing cloud resources with Terraform
- Writing reusable, modular Terraform configurations
- State management and backend configuration
- Remote state locking and team collaboration
- Versioning IaC with Git workflows
- Validating IaC syntax and structure
- AWS CloudFormation vs Terraform: When to use which
- Defining templates for consistent environment deployment
- Parameterising configurations for multiple environments
- Automating cloud firewall and network policies
- Managing shared services with IaC
- Cost estimation using IaC planning tools
- Integrating IaC into CI/CD pipelines
- Drift detection and reconciliation in automated infrastructure
- Testing IaC with tools like Terratest and Checkov
- Enforcing security policies in IaC templates
- Multi-cloud and hybrid infrastructure patterns
- Managing legacy and cloud workloads together
Module 6: Containerisation & Orchestration with Docker & Kubernetes - From VMs to containers: Understanding the container revolution
- Building lightweight, secure Docker images
- Optimising Dockerfile structure for performance
- Multi-stage builds and image layer reduction
- Container networking and service discovery
- Managing container storage and volumes
- Container security best practices
- Automated image scanning and vulnerability detection
- Integrating Docker builds into CI pipelines
- Container registry management with Docker Hub and private registries
- Introduction to Kubernetes architecture
- Deploying applications using Kubernetes manifests
- Automating scaling with Horizontal Pod Autoscaler
- Configuring rolling updates and health probes
- Managing Secrets and ConfigMaps in Kubernetes
- Namespace isolation and resource quotas
- Ingress and service exposure automation
- Logging and monitoring containerised applications
- Kubernetes Operators and custom automation
- GitOps workflows with ArgoCD and Flux
- Cluster lifecycle automation with Kops and EKS
Module 7: Monitoring, Logging & Observability Automation - Designing observability into automated systems
- Centralised logging with ELK and Grafana Loki
- Automated log collection from containers and VMs
- Log parsing, indexing, and retention policies
- Real-time alerting and incident response
- Metrics collection with Prometheus
- Service-level monitoring with SLOs and SLIs
- Automated dashboard generation and reporting
- Distributed tracing with Jaeger and OpenTelemetry
- Correlating logs, metrics, and traces for root cause analysis
- Setting up anomaly detection with machine learning models
- Automating alert triage and escalation policies
- Incident response playbooks with automated triggers
- Monitoring pipeline performance and bottlenecks
- Business-impacting metrics in DevOps observability
- Visualisation tools: Grafana, Kibana, and custom dashboards
- Automating compliance reporting with observability data
- Reducing alert fatigue with signal-to-noise filtering
Module 8: Security Automation & Compliance as Code - Shifting security left in the DevOps pipeline
- Automating security scans in CI/CD workflows
- Static Application Security Testing (SAST)
- Dynamic Application Security Testing (DAST)
- Software Composition Analysis (SCA) for open-source risks
- Container and image vulnerability scanning
- IaC security scanning with Checkov and TFLint
- Configuring policy-as-code with Open Policy Agent (OPA)
- Automating encryption and certificate management
- Secrets rotation and secure storage with HashiCorp Vault
- Automated compliance checks for GDPR, HIPAA, SOC 2
- Generating audit-ready compliance reports
- Automating access control and role provisioning
- Integrating security tools with incident management
- Security response automation with SOAR platforms
- Automated penetration test scheduling and reporting
- Reporting vulnerabilities with context and remediation paths
- Enforcing security policies through automated gates
Module 9: Cloud Automation & Multi-Cloud Strategy - Cloud provider comparison: AWS, Azure, GCP automation features
- Automating resource provisioning across cloud platforms
- Cloud-specific automation tools: AWS Lambda, Azure Functions, Cloud Run
- Handling cloud billing and cost alerts programmatically
- Tagging strategies for automated cost allocation
- Cross-cloud deployment patterns and routing
- Automating zone failover and disaster recovery
- Data sovereignty and regulatory automation
- Automated cloud security group management
- Cloud network automation with VPCs and firewalls
- Automated performance benchmarking across clouds
- Managing multi-cloud identity and access
- Optimising for egress costs and latency
- IaC for hybrid and edge computing environments
- Cloud-native backup and restore automation
- Monitoring cloud service health and status
- Automating cloud migration assessments
Module 10: Pipeline Optimisation & Performance Engineering - Measuring pipeline performance: Duration, success rate, stability
- Identifying pipeline bottlenecks and inefficiencies
- Parallel execution and job concurrency tuning
- Build caching strategies for speed improvement
- Dependency management and version pinning
- Environment provisioning automation
- Test suite optimisation: Parallel runs and selective execution
- Fail-fast feedback mechanisms
- Reducing pipeline flakiness with stable environments
- Automated pipeline health reporting
- Analytical tools for pipeline insight
- Managing pipeline scaling for large teams
- Resource allocation and agent optimisation
- Infrastructure performance tuning for CI agents
- Using metrics to justify pipeline investment
- Optimising third-party tool integrations
- Automated cleanup of stale jobs and artifacts
Module 11: Hands-On Project: Build Your Automated DevOps Framework - Defining project scope: From idea to production-grade automation
- Selecting target environment: On-prem, cloud, or hybrid
- Designing a modular, reusable automation architecture
- Integrating version control with branching and PR workflows
- Configuring CI/CD with Jenkins, GitHub Actions, or GitLab CI
- Automating build, test, and deployment stages
- Implementing Infrastructure as Code for environment creation
- Setting up configuration management with Ansible
- Containerising application with Docker
- Orchestrating with Kubernetes or managed services
- Integrating monitoring with Prometheus and Grafana
- Adding logging with ELK or Loki
- Securing pipeline with SAST, DAST, and secrets management
- Automating compliance and audit trail generation
- Implementing zero-downtime deployment strategy
- Configuring rollback and health validation
- Adding automated notification and escalation
- Generating documentation from code and process
- Testing end-to-end automation in staging
- Submitting final framework for structured review
Module 12: DevOps Automation Leadership & Career Advancement - Transitioning from automation user to automation leader
- Creating automation champions within teams
- Mentoring others in DevOps best practices
- Presenting automation ROI to technical and non-technical leaders
- Building a personal brand as a DevOps expert
- Updating your resume and LinkedIn with automation impact
- Creating a portfolio of automation projects
- Speaking at internal tech talks and user groups
- Preparing for DevOps engineering and SRE interviews
- Benchmarking your skills against industry standards
- Setting long-term career goals in automation and cloud
- Navigating promotions and job transitions
- Continuing education in advanced DevOps practices
- Contributing to open-source automation tools
- Engaging with professional DevOps communities
- The future of automation: AI, self-healing systems, and beyond
- Leveraging your Certificate of Completion for career leverage
- Next steps after course completion: certifications, roles, pathways
- Lifetime access as a career insurance policy
- Principles of Infrastructure as Code (IaC)
- Declarative vs imperative provisioning approaches
- Managing cloud resources with Terraform
- Writing reusable, modular Terraform configurations
- State management and backend configuration
- Remote state locking and team collaboration
- Versioning IaC with Git workflows
- Validating IaC syntax and structure
- AWS CloudFormation vs Terraform: When to use which
- Defining templates for consistent environment deployment
- Parameterising configurations for multiple environments
- Automating cloud firewall and network policies
- Managing shared services with IaC
- Cost estimation using IaC planning tools
- Integrating IaC into CI/CD pipelines
- Drift detection and reconciliation in automated infrastructure
- Testing IaC with tools like Terratest and Checkov
- Enforcing security policies in IaC templates
- Multi-cloud and hybrid infrastructure patterns
- Managing legacy and cloud workloads together
Module 6: Containerisation & Orchestration with Docker & Kubernetes - From VMs to containers: Understanding the container revolution
- Building lightweight, secure Docker images
- Optimising Dockerfile structure for performance
- Multi-stage builds and image layer reduction
- Container networking and service discovery
- Managing container storage and volumes
- Container security best practices
- Automated image scanning and vulnerability detection
- Integrating Docker builds into CI pipelines
- Container registry management with Docker Hub and private registries
- Introduction to Kubernetes architecture
- Deploying applications using Kubernetes manifests
- Automating scaling with Horizontal Pod Autoscaler
- Configuring rolling updates and health probes
- Managing Secrets and ConfigMaps in Kubernetes
- Namespace isolation and resource quotas
- Ingress and service exposure automation
- Logging and monitoring containerised applications
- Kubernetes Operators and custom automation
- GitOps workflows with ArgoCD and Flux
- Cluster lifecycle automation with Kops and EKS
Module 7: Monitoring, Logging & Observability Automation - Designing observability into automated systems
- Centralised logging with ELK and Grafana Loki
- Automated log collection from containers and VMs
- Log parsing, indexing, and retention policies
- Real-time alerting and incident response
- Metrics collection with Prometheus
- Service-level monitoring with SLOs and SLIs
- Automated dashboard generation and reporting
- Distributed tracing with Jaeger and OpenTelemetry
- Correlating logs, metrics, and traces for root cause analysis
- Setting up anomaly detection with machine learning models
- Automating alert triage and escalation policies
- Incident response playbooks with automated triggers
- Monitoring pipeline performance and bottlenecks
- Business-impacting metrics in DevOps observability
- Visualisation tools: Grafana, Kibana, and custom dashboards
- Automating compliance reporting with observability data
- Reducing alert fatigue with signal-to-noise filtering
Module 8: Security Automation & Compliance as Code - Shifting security left in the DevOps pipeline
- Automating security scans in CI/CD workflows
- Static Application Security Testing (SAST)
- Dynamic Application Security Testing (DAST)
- Software Composition Analysis (SCA) for open-source risks
- Container and image vulnerability scanning
- IaC security scanning with Checkov and TFLint
- Configuring policy-as-code with Open Policy Agent (OPA)
- Automating encryption and certificate management
- Secrets rotation and secure storage with HashiCorp Vault
- Automated compliance checks for GDPR, HIPAA, SOC 2
- Generating audit-ready compliance reports
- Automating access control and role provisioning
- Integrating security tools with incident management
- Security response automation with SOAR platforms
- Automated penetration test scheduling and reporting
- Reporting vulnerabilities with context and remediation paths
- Enforcing security policies through automated gates
Module 9: Cloud Automation & Multi-Cloud Strategy - Cloud provider comparison: AWS, Azure, GCP automation features
- Automating resource provisioning across cloud platforms
- Cloud-specific automation tools: AWS Lambda, Azure Functions, Cloud Run
- Handling cloud billing and cost alerts programmatically
- Tagging strategies for automated cost allocation
- Cross-cloud deployment patterns and routing
- Automating zone failover and disaster recovery
- Data sovereignty and regulatory automation
- Automated cloud security group management
- Cloud network automation with VPCs and firewalls
- Automated performance benchmarking across clouds
- Managing multi-cloud identity and access
- Optimising for egress costs and latency
- IaC for hybrid and edge computing environments
- Cloud-native backup and restore automation
- Monitoring cloud service health and status
- Automating cloud migration assessments
Module 10: Pipeline Optimisation & Performance Engineering - Measuring pipeline performance: Duration, success rate, stability
- Identifying pipeline bottlenecks and inefficiencies
- Parallel execution and job concurrency tuning
- Build caching strategies for speed improvement
- Dependency management and version pinning
- Environment provisioning automation
- Test suite optimisation: Parallel runs and selective execution
- Fail-fast feedback mechanisms
- Reducing pipeline flakiness with stable environments
- Automated pipeline health reporting
- Analytical tools for pipeline insight
- Managing pipeline scaling for large teams
- Resource allocation and agent optimisation
- Infrastructure performance tuning for CI agents
- Using metrics to justify pipeline investment
- Optimising third-party tool integrations
- Automated cleanup of stale jobs and artifacts
Module 11: Hands-On Project: Build Your Automated DevOps Framework - Defining project scope: From idea to production-grade automation
- Selecting target environment: On-prem, cloud, or hybrid
- Designing a modular, reusable automation architecture
- Integrating version control with branching and PR workflows
- Configuring CI/CD with Jenkins, GitHub Actions, or GitLab CI
- Automating build, test, and deployment stages
- Implementing Infrastructure as Code for environment creation
- Setting up configuration management with Ansible
- Containerising application with Docker
- Orchestrating with Kubernetes or managed services
- Integrating monitoring with Prometheus and Grafana
- Adding logging with ELK or Loki
- Securing pipeline with SAST, DAST, and secrets management
- Automating compliance and audit trail generation
- Implementing zero-downtime deployment strategy
- Configuring rollback and health validation
- Adding automated notification and escalation
- Generating documentation from code and process
- Testing end-to-end automation in staging
- Submitting final framework for structured review
Module 12: DevOps Automation Leadership & Career Advancement - Transitioning from automation user to automation leader
- Creating automation champions within teams
- Mentoring others in DevOps best practices
- Presenting automation ROI to technical and non-technical leaders
- Building a personal brand as a DevOps expert
- Updating your resume and LinkedIn with automation impact
- Creating a portfolio of automation projects
- Speaking at internal tech talks and user groups
- Preparing for DevOps engineering and SRE interviews
- Benchmarking your skills against industry standards
- Setting long-term career goals in automation and cloud
- Navigating promotions and job transitions
- Continuing education in advanced DevOps practices
- Contributing to open-source automation tools
- Engaging with professional DevOps communities
- The future of automation: AI, self-healing systems, and beyond
- Leveraging your Certificate of Completion for career leverage
- Next steps after course completion: certifications, roles, pathways
- Lifetime access as a career insurance policy
- Designing observability into automated systems
- Centralised logging with ELK and Grafana Loki
- Automated log collection from containers and VMs
- Log parsing, indexing, and retention policies
- Real-time alerting and incident response
- Metrics collection with Prometheus
- Service-level monitoring with SLOs and SLIs
- Automated dashboard generation and reporting
- Distributed tracing with Jaeger and OpenTelemetry
- Correlating logs, metrics, and traces for root cause analysis
- Setting up anomaly detection with machine learning models
- Automating alert triage and escalation policies
- Incident response playbooks with automated triggers
- Monitoring pipeline performance and bottlenecks
- Business-impacting metrics in DevOps observability
- Visualisation tools: Grafana, Kibana, and custom dashboards
- Automating compliance reporting with observability data
- Reducing alert fatigue with signal-to-noise filtering
Module 8: Security Automation & Compliance as Code - Shifting security left in the DevOps pipeline
- Automating security scans in CI/CD workflows
- Static Application Security Testing (SAST)
- Dynamic Application Security Testing (DAST)
- Software Composition Analysis (SCA) for open-source risks
- Container and image vulnerability scanning
- IaC security scanning with Checkov and TFLint
- Configuring policy-as-code with Open Policy Agent (OPA)
- Automating encryption and certificate management
- Secrets rotation and secure storage with HashiCorp Vault
- Automated compliance checks for GDPR, HIPAA, SOC 2
- Generating audit-ready compliance reports
- Automating access control and role provisioning
- Integrating security tools with incident management
- Security response automation with SOAR platforms
- Automated penetration test scheduling and reporting
- Reporting vulnerabilities with context and remediation paths
- Enforcing security policies through automated gates
Module 9: Cloud Automation & Multi-Cloud Strategy - Cloud provider comparison: AWS, Azure, GCP automation features
- Automating resource provisioning across cloud platforms
- Cloud-specific automation tools: AWS Lambda, Azure Functions, Cloud Run
- Handling cloud billing and cost alerts programmatically
- Tagging strategies for automated cost allocation
- Cross-cloud deployment patterns and routing
- Automating zone failover and disaster recovery
- Data sovereignty and regulatory automation
- Automated cloud security group management
- Cloud network automation with VPCs and firewalls
- Automated performance benchmarking across clouds
- Managing multi-cloud identity and access
- Optimising for egress costs and latency
- IaC for hybrid and edge computing environments
- Cloud-native backup and restore automation
- Monitoring cloud service health and status
- Automating cloud migration assessments
Module 10: Pipeline Optimisation & Performance Engineering - Measuring pipeline performance: Duration, success rate, stability
- Identifying pipeline bottlenecks and inefficiencies
- Parallel execution and job concurrency tuning
- Build caching strategies for speed improvement
- Dependency management and version pinning
- Environment provisioning automation
- Test suite optimisation: Parallel runs and selective execution
- Fail-fast feedback mechanisms
- Reducing pipeline flakiness with stable environments
- Automated pipeline health reporting
- Analytical tools for pipeline insight
- Managing pipeline scaling for large teams
- Resource allocation and agent optimisation
- Infrastructure performance tuning for CI agents
- Using metrics to justify pipeline investment
- Optimising third-party tool integrations
- Automated cleanup of stale jobs and artifacts
Module 11: Hands-On Project: Build Your Automated DevOps Framework - Defining project scope: From idea to production-grade automation
- Selecting target environment: On-prem, cloud, or hybrid
- Designing a modular, reusable automation architecture
- Integrating version control with branching and PR workflows
- Configuring CI/CD with Jenkins, GitHub Actions, or GitLab CI
- Automating build, test, and deployment stages
- Implementing Infrastructure as Code for environment creation
- Setting up configuration management with Ansible
- Containerising application with Docker
- Orchestrating with Kubernetes or managed services
- Integrating monitoring with Prometheus and Grafana
- Adding logging with ELK or Loki
- Securing pipeline with SAST, DAST, and secrets management
- Automating compliance and audit trail generation
- Implementing zero-downtime deployment strategy
- Configuring rollback and health validation
- Adding automated notification and escalation
- Generating documentation from code and process
- Testing end-to-end automation in staging
- Submitting final framework for structured review
Module 12: DevOps Automation Leadership & Career Advancement - Transitioning from automation user to automation leader
- Creating automation champions within teams
- Mentoring others in DevOps best practices
- Presenting automation ROI to technical and non-technical leaders
- Building a personal brand as a DevOps expert
- Updating your resume and LinkedIn with automation impact
- Creating a portfolio of automation projects
- Speaking at internal tech talks and user groups
- Preparing for DevOps engineering and SRE interviews
- Benchmarking your skills against industry standards
- Setting long-term career goals in automation and cloud
- Navigating promotions and job transitions
- Continuing education in advanced DevOps practices
- Contributing to open-source automation tools
- Engaging with professional DevOps communities
- The future of automation: AI, self-healing systems, and beyond
- Leveraging your Certificate of Completion for career leverage
- Next steps after course completion: certifications, roles, pathways
- Lifetime access as a career insurance policy
- Cloud provider comparison: AWS, Azure, GCP automation features
- Automating resource provisioning across cloud platforms
- Cloud-specific automation tools: AWS Lambda, Azure Functions, Cloud Run
- Handling cloud billing and cost alerts programmatically
- Tagging strategies for automated cost allocation
- Cross-cloud deployment patterns and routing
- Automating zone failover and disaster recovery
- Data sovereignty and regulatory automation
- Automated cloud security group management
- Cloud network automation with VPCs and firewalls
- Automated performance benchmarking across clouds
- Managing multi-cloud identity and access
- Optimising for egress costs and latency
- IaC for hybrid and edge computing environments
- Cloud-native backup and restore automation
- Monitoring cloud service health and status
- Automating cloud migration assessments
Module 10: Pipeline Optimisation & Performance Engineering - Measuring pipeline performance: Duration, success rate, stability
- Identifying pipeline bottlenecks and inefficiencies
- Parallel execution and job concurrency tuning
- Build caching strategies for speed improvement
- Dependency management and version pinning
- Environment provisioning automation
- Test suite optimisation: Parallel runs and selective execution
- Fail-fast feedback mechanisms
- Reducing pipeline flakiness with stable environments
- Automated pipeline health reporting
- Analytical tools for pipeline insight
- Managing pipeline scaling for large teams
- Resource allocation and agent optimisation
- Infrastructure performance tuning for CI agents
- Using metrics to justify pipeline investment
- Optimising third-party tool integrations
- Automated cleanup of stale jobs and artifacts
Module 11: Hands-On Project: Build Your Automated DevOps Framework - Defining project scope: From idea to production-grade automation
- Selecting target environment: On-prem, cloud, or hybrid
- Designing a modular, reusable automation architecture
- Integrating version control with branching and PR workflows
- Configuring CI/CD with Jenkins, GitHub Actions, or GitLab CI
- Automating build, test, and deployment stages
- Implementing Infrastructure as Code for environment creation
- Setting up configuration management with Ansible
- Containerising application with Docker
- Orchestrating with Kubernetes or managed services
- Integrating monitoring with Prometheus and Grafana
- Adding logging with ELK or Loki
- Securing pipeline with SAST, DAST, and secrets management
- Automating compliance and audit trail generation
- Implementing zero-downtime deployment strategy
- Configuring rollback and health validation
- Adding automated notification and escalation
- Generating documentation from code and process
- Testing end-to-end automation in staging
- Submitting final framework for structured review
Module 12: DevOps Automation Leadership & Career Advancement - Transitioning from automation user to automation leader
- Creating automation champions within teams
- Mentoring others in DevOps best practices
- Presenting automation ROI to technical and non-technical leaders
- Building a personal brand as a DevOps expert
- Updating your resume and LinkedIn with automation impact
- Creating a portfolio of automation projects
- Speaking at internal tech talks and user groups
- Preparing for DevOps engineering and SRE interviews
- Benchmarking your skills against industry standards
- Setting long-term career goals in automation and cloud
- Navigating promotions and job transitions
- Continuing education in advanced DevOps practices
- Contributing to open-source automation tools
- Engaging with professional DevOps communities
- The future of automation: AI, self-healing systems, and beyond
- Leveraging your Certificate of Completion for career leverage
- Next steps after course completion: certifications, roles, pathways
- Lifetime access as a career insurance policy
- Defining project scope: From idea to production-grade automation
- Selecting target environment: On-prem, cloud, or hybrid
- Designing a modular, reusable automation architecture
- Integrating version control with branching and PR workflows
- Configuring CI/CD with Jenkins, GitHub Actions, or GitLab CI
- Automating build, test, and deployment stages
- Implementing Infrastructure as Code for environment creation
- Setting up configuration management with Ansible
- Containerising application with Docker
- Orchestrating with Kubernetes or managed services
- Integrating monitoring with Prometheus and Grafana
- Adding logging with ELK or Loki
- Securing pipeline with SAST, DAST, and secrets management
- Automating compliance and audit trail generation
- Implementing zero-downtime deployment strategy
- Configuring rollback and health validation
- Adding automated notification and escalation
- Generating documentation from code and process
- Testing end-to-end automation in staging
- Submitting final framework for structured review