Weekend batches
October 2026
09:00–15:00 · flexible hours
$799per learner
31 Oct 2026
5 of 25 seats available
Cloud
Complete DevOps Mastery – Hands-On DevOps Engineering & Cloud Automation Training in Pitcairn
Build industry-ready skills with Complete DevOps Mastery Training in Pitcairn . Master Linux, Git, Docker, Kubernetes, Jenkins, CI/CD pipelines, Infrastructure as Code, cloud automation, monitoring, and deployment strategies through practical labs. Develop expertise in streamlining software delivery, automating infrastructure, strengthening application reliability, and implementing scalable DevOps workflows to support modern cloud-native engineering teams and accelerate digital transformation across diverse industries.
80 Hours/10 daysIntermediate3.7 · 2,187 reviews
Training calendar
Upcoming four-month course schedule
A new weekday and weekend batch starts every week. Each batch runs for 10 training days, based on the course duration of 80 Hours/10 days.
Weekend batches
November 2026
09:00–15:00 · flexible hours
$799per learner
07 Nov 2026
10 of 25 seats available
14 Nov 2026
25 of 25 seats available
21 Nov 2026
25 of 25 seats available
28 Nov 2026
25 of 25 seats available
Weekend batches
December 2026
09:00–15:00 · flexible hours
$799per learner
05 Dec 2026
25 of 25 seats available
12 Dec 2026
25 of 25 seats available
19 Dec 2026
25 of 25 seats available
26 Dec 2026
25 of 25 seats available
Weekend batches
January 2027
09:00–15:00 · flexible hours
$799per learner
02 Jan 2027
25 of 25 seats available
09 Jan 2027
25 of 25 seats available
16 Jan 2027
25 of 25 seats available
23 Jan 2027
25 of 25 seats available
30 Jan 2027
25 of 25 seats available
Course curriculum
What you’ll learn
80 Hours/10 daysIntermediate
Module 1: Introduction to DevOps Engineering
- DevOps principles, culture, and lifecycle
- DevOps versus traditional software development
- Collaboration between development and operations teams
- Continuous Integration, Continuous Delivery, and Continuous Deployment
- DevOps tools ecosystem and implementation strategies
Module 2: Linux Fundamentals and Command-Line Administration
- Linux architecture, file systems, and directory management
- Essential Linux commands and shell navigation
- User permissions, ownership, and process management
- Package installation and system administration
- Bash scripting fundamentals for task automation
Module 3: Git and Version Control Management
- Git installation, configuration, and repository creation
- Branching, merging, commits, and version history
- Conflict resolution and collaborative development workflows
- Remote repositories using GitHub or similar platforms
- Source code versioning and change management practices
Module 4: Python and Shell Scripting for DevOps
- Python fundamentals for infrastructure automation
- Bash scripting for routine administrative tasks
- Variables, loops, conditions, and functions
- File handling, command execution, and error management
- Automation scripts for repetitive operational workflows
Module 5: Continuous Integration with Jenkins
- Jenkins architecture, installation, and configuration
- Jenkins jobs, plugins, and build automation
- Pipeline creation using Jenkinsfiles
- Git repository integration and automated builds
- Build triggers, test execution, and pipeline troubleshooting
Module 6: Continuous Integration and Continuous Delivery (CI/CD)
- CI/CD pipeline architecture and workflow design
- Automated build, test, and deployment stages
- Pipeline configuration and environment variables
- Artifact management and release automation
- Deployment approvals, rollback strategies, and pipeline optimisation
Module 7: Docker Containerisation
- Containerisation concepts and Docker architecture
- Docker images, containers, volumes, and networks
- Dockerfile creation and image optimisation
- Docker Compose for multi-container applications
- Container registries, image versioning, and security fundamentals
Module 8: Kubernetes Container Orchestration
- Kubernetes architecture and cluster components
- Pods, Deployments, Services, and Namespaces
- ConfigMaps, Secrets, and persistent storage fundamentals
- Application scaling, rolling updates, and rollback management
- Container health checks, troubleshooting, and workload monitoring
Module 9: Infrastructure as Code with Terraform
- Infrastructure as Code principles and benefits
- Terraform installation, providers, resources, and variables
- Configuration files, modules, and reusable templates
- Terraform state management and execution plans
- Automated infrastructure provisioning and change management
Module 10: Configuration Management with Ansible
- Ansible architecture, installation, and inventory management
- Playbooks, tasks, variables, and handlers
- Configuration automation across multiple servers
- Roles and reusable automation structures
- Application configuration and infrastructure consistency
Module 11: Cloud Computing and Cloud Automation
- Cloud computing concepts and service models
- Cloud infrastructure fundamentals using AWS, Azure, or Google Cloud
- Virtual machines, networking, storage, and identity access basics
- Cloud resource provisioning and deployment automation
- Cloud security, cost awareness, and environment management
Module 12: Application Deployment and Release Management
- Application packaging and deployment strategies
- Development, testing, staging, and production environments
- Blue-green, rolling, and canary deployment concepts
- Release versioning and artifact promotion
- Deployment validation, rollback planning, and release coordination
Module 13: DevSecOps and Pipeline Security
- Security integration throughout the DevOps lifecycle
- Secrets management and secure configuration practices
- Dependency scanning and vulnerability assessment fundamentals
- Container image security and access control
- Security checks within CI/CD pipelines and compliance awareness
Module 14: Monitoring, Logging, and Observability
- Monitoring fundamentals and service health indicators
- Application logs, infrastructure metrics, and event analysis
- Prometheus and Grafana fundamentals
- Dashboards, alerts, and performance monitoring
- Troubleshooting incidents and identifying reliability issues
Module 15: Site Reliability Engineering (SRE) Fundamentals
- SRE principles and reliability-focused engineering
- Service Level Indicators (SLIs), Objectives (SLOs), and Agreements (SLAs)
- Availability, scalability, and performance considerations
- Incident response, root cause analysis, and post-incident reviews
- Error budgets and continuous service improvement
Module 16: Automated Testing and Quality Engineering
- Software testing within DevOps workflows
- Unit, integration, and smoke testing concepts
- Automated test execution in CI/CD pipelines
- Test reports, quality gates, and failure analysis
- Continuous feedback and release quality improvement
Module 17: DevOps Networking and Infrastructure Troubleshooting
- DNS, IP addressing, ports, HTTP/HTTPS, and load balancing
- Network connectivity checks and service discovery
- Reverse proxies and application traffic management
- Infrastructure and deployment failure diagnosis
- Troubleshooting methods for distributed application environments
Module 18: GitOps and Modern Deployment Workflows
- GitOps principles and declarative infrastructure management
- Git-based configuration and deployment workflows
- Desired-state reconciliation concepts
- Kubernetes deployment management with GitOps tools
- Change tracking, deployment consistency, and rollback practices
Module 19: DevOps Best Practices and Workflow Optimisation
- Reusable pipeline design and automation standards
- Environment consistency and configuration management
- Build optimisation and deployment efficiency
- Collaboration, documentation, and operational handovers
- Continuous improvement through feedback and performance metrics
Module 20: Capstone Project – End-to-End DevOps Implementation
- Design a complete software delivery workflow
- Manage source code using Git
- Configure automated CI/CD pipelines
- Containerise an application using Docker
- Deploy workloads to Kubernetes or a suitable cloud environment
- Automate infrastructure provisioning and configuration
- Integrate monitoring, logging, and basic security checks
- Test deployment workflows and document the final implementation
Entry requirements and prerequisites
Basic IT and Operating System Knowledge: Understand fundamental computer operations, file systems, and operating system concepts before starting DevOps training in Pitcairn.
Linux and Command-Line Fundamentals: Familiarity with Linux commands, terminal navigation, file permissions, and basic shell operations is beneficial for hands-on DevOps engineering.
Networking Fundamentals: Basic knowledge of IP addresses, DNS, HTTP/HTTPS, ports, and client-server communication helps learners understand cloud infrastructure and application deployment.
Programming or Scripting Basics: Prior exposure to Python, Bash, or another programming language is useful for automation scripts, infrastructure management, and CI/CD workflows.
Cloud Computing Awareness: Basic familiarity with AWS, Microsoft Azure, or Google Cloud can help learners explore cloud automation, infrastructure provisioning, and scalable deployment environments.
Version Control Knowledge: Understanding Git fundamentals, repositories, branches, commits, and collaboration workflows is helpful for source code management and continuous integration practices.
Problem-Solving Mindset: An interest in troubleshooting, process optimisation, system reliability, and automated software delivery will support practical learning throughout the programme.
Commitment to Hands-On Learning: Learners should be willing to practise with DevOps tools, build deployment pipelines, configure containers, and complete cloud automation projects relevant to organisations in Pitcairn.
Career value
Reasons to choose this course
End-to-End DevOps Pipeline Engineering
Learn to design automated CI/CD pipelines using Git, Jenkins, and modern integration practices. Build job-ready skills to streamline software builds, testing, releases, and deployment workflows for organisations in Pitcairn.
Cloud Infrastructure and Automation Skills
Explore cloud infrastructure management, environment configuration, and automated resource provisioning. Develop practical capabilities to support scalable cloud operations and efficient infrastructure delivery across enterprise environments.
Docker Containerisation and Kubernetes Orchestration
Master application containerisation with Docker and learn Kubernetes fundamentals for deploying and managing containerised workloads. Strengthen your profile for cloud-native engineering and container platform roles.
Infrastructure as Code and Configuration Management
Understand how Infrastructure as Code practices help automate repeatable infrastructure deployment and configuration. Learn concepts and workflows that improve consistency, reduce manual errors, and support reliable DevOps operations.
DevOps Monitoring, Troubleshooting, and Reliability
Practise identifying deployment failures, analysing logs, monitoring application performance, and troubleshooting infrastructure issues. Build operational skills relevant to DevOps engineering, platform support, and site reliability practices.
Industry Projects and Career Development
Apply DevOps concepts through hands-on projects involving source control, pipeline automation, containers, and cloud deployment. Develop a practical project portfolio to support interviews for DevOps Engineer, Cloud Engineer, and Build and Release Engineer roles.
Advantages
Turn learning into practical capability
Comprehensive DevOps Toolchain Knowledge
Explore essential technologies such as Linux, Git, Jenkins, Docker, Kubernetes, and cloud platforms within an integrated learning pathway. Understand how these tools work together to support continuous integration, automated delivery, and efficient software lifecycle management.
Practical Learning Through Realistic Projects
Work through guided exercises that simulate common software engineering and infrastructure challenges. Practise building deployment pipelines, configuring environments, managing containers, and resolving technical issues to strengthen hands-on DevOps proficiency.
Improved Deployment Speed and Workflow Efficiency
Learn automation strategies that reduce repetitive manual activities and create consistent release processes. Understand how CI/CD implementation, automated testing, and standardised deployments can help teams deliver software more efficiently.
Cloud-Native Engineering and Infrastructure Automation
Build foundational knowledge of cloud environments, container platforms, and Infrastructure as Code principles. Develop relevant skills for organisations adopting scalable architectures, automated provisioning, and modern application deployment practices.
Enhanced Troubleshooting and Operational Reliability
Develop structured approaches to diagnosing pipeline errors, investigating deployment issues, and monitoring system behaviour. Strengthen your understanding of service reliability, configuration consistency, and operational problem-solving in DevOps environments.
Career-Oriented Skills for Multiple Technology Roles
Prepare to pursue relevant opportunities in DevOps engineering, cloud operations, platform engineering, release management, and site reliability engineering. Combine practical project experience with interview preparation to demonstrate your capabilities to prospective employers in Pitcairn.
Exam format & assessment
Assessment Type: A combination of multiple-choice questions (MCQs), technical knowledge checks, and practical DevOps lab exercises.
Exam Duration: Suggested assessment duration of 90 minutes to evaluate core DevOps concepts and hands-on engineering knowledge.
Passing Score: Recommended minimum passing score of 70% for the StepMerit Learning internal course assessment.
Technical Topics Covered: Linux administration, Git version control, Jenkins CI/CD pipelines, Docker containerisation, Kubernetes orchestration, Terraform, Ansible, cloud automation, monitoring, and DevSecOps fundamentals.
Practical Lab Assessment: Demonstrate the ability to configure a basic CI/CD pipeline, automate deployment tasks, manage containers, provision infrastructure, and troubleshoot common workflow issues.
Project Evaluation: Complete an end-to-end DevOps capstone project demonstrating source control, automated build and deployment, infrastructure configuration, and monitoring fundamentals.
Certification Award: Learners who meet the course completion and assessment requirements may receive a StepMerit Learning Certificate of Completion.
External Certification Preparation: The programme can help learners build foundational skills relevant to vendor-specific DevOps certifications. Official certification exams, eligibility requirements, registration fees, and passing criteria are determined separately by the respective certification providers.
Bring your learning together
Course conclusion
Advance your technical capabilities with Complete DevOps Mastery – Hands-On DevOps Engineering & Cloud Automation Training in Pitcairn. This comprehensive programme develops practical knowledge of CI/CD automation, cloud infrastructure, container orchestration, Infrastructure as Code, configuration management, DevSecOps, and system monitoring.
Through hands-on laboratories and an end-to-end capstone project, learners practise streamlining software delivery, automating infrastructure operations, troubleshooting deployment challenges, and improving application reliability. The training provides a structured foundation for professionals seeking to strengthen their expertise in modern DevOps engineering and cloud-native technologies.
Whether you are beginning your DevOps journey or expanding your existing IT skill set, this course helps you develop industry-relevant competencies for pursuing opportunities such as DevOps Engineer, Cloud Automation Engineer, Platform Engineer, Build and Release Engineer, and Site Reliability Engineer. Choose StepMerit Learning to build practical automation skills, understand modern engineering workflows, and prepare for evolving technology requirements across organisations in Pitcairn.
Target audience
- Aspiring DevOps Engineers
- Software Developers and Application Engineers
- System Administrators and IT Operations Professionals
- Cloud Engineers and Infrastructure Specialists
- QA Engineers and Test Automation Professionals
- Build, Release, and Platform Engineers
Verified learning evidence
Expertise, recognition and learner outcomes
Course-specific expertise
Professional Training Experience: Target trainer profile with approximately 10 years of professional experience in DevOps engineering, cloud infrastructure, software delivery automation, and enterprise technology practices. Verify the assigned instructor’s actual experience before publication.
Estimated Training Delivery Hours: Illustrative profile target of approximately 2,000–4,000 instructor-led training hours across DevOps, cloud automation, CI/CD, containerisation, and infrastructure engineering programmes. Confirm actual delivery records before publishing.
Estimated Candidates Trained: Illustrative target of approximately 500–1,000 learners across DevOps engineering, cloud computing, deployment automation, infrastructure management, and software delivery training. Verify the instructor’s actual learner statistics.
DevOps Engineering Expertise: Practical knowledge of Linux administration, Git version control, Jenkins pipelines, CI/CD automation, Docker, Kubernetes, Terraform, Ansible, cloud platforms, and deployment troubleshooting.
Banking and Financial Services Use-Case Knowledge: Ability to explain DevOps applications in digital banking, payment processing, financial reporting, customer portals, and transaction-processing systems, including reliability, security, and controlled release considerations.
Cloud Infrastructure and Automation Skills: Knowledge of cloud resource provisioning, Infrastructure as Code, configuration management, environment standardisation, and automated deployment workflows using relevant cloud and DevOps technologies.
CI/CD and Release Management Expertise: Ability to teach pipeline design, automated builds, testing integration, deployment strategies, artifact management, release validation, and rollback planning for enterprise applications.
DevSecOps and Security Awareness: Understanding of secure pipeline practices, access management, secrets handling, vulnerability scanning, container security, and compliance-aware engineering workflows relevant to financial technology environments.
Monitoring and Reliability Practices: Ability to guide learners through logging, metrics, alerting, application health monitoring, incident investigation, and reliability-focused operational improvements.
Practical Workshop Experience: Capability to facilitate hands-on exercises involving Git repositories, CI/CD pipeline creation, Docker containerisation, Kubernetes deployment, Terraform configuration, and monitoring implementation.
Assessment and Project Guidance: Ability to evaluate practical assignments, review capstone projects, explain DevOps concepts, and prepare learners for relevant technical interviews and vendor certification pathways.
Trainer Qualification Verification: Confirm the assigned instructor’s current technical certifications, practical project experience, and any required training-provider authorisations before presenting credentials or claiming official certification delivery status.
Continuous Professional Development: Maintain current knowledge of cloud platforms, DevOps toolchains, infrastructure automation, container orchestration, software supply chain security, and modern application delivery practices.
Documented learner outcomes
Problem Statement – A banking and financial services organisation experiences delayed software releases, manual deployment processes, inconsistent testing, infrastructure configuration errors, and limited application monitoring. These challenges affect digital banking platforms, payment processing systems, customer portals, and financial reporting applications. The goal is to improve deployment efficiency, application reliability, security, and collaboration through modern DevOps engineering and cloud automation practices.
How We Overcame the Problem – Learners applied DevOps principles, Git-based version control, CI/CD pipelines, automated testing, Docker containerisation, Kubernetes fundamentals, Infrastructure as Code, and monitoring practices to identify delivery bottlenecks and design more consistent software deployment workflows.
Overall Implementation – Learners designed a banking DevOps workflow covering business requirements → source code management → continuous integration → automated testing → security validation → infrastructure provisioning → application deployment → monitoring → feedback → continuous improvement.
Source Code and Version Control – Learners used Git-based workflows to manage application code, track changes, coordinate development activities, and support controlled updates to digital banking and payment applications.
Continuous Integration – Learners explored automated build pipelines using Jenkins and source code repositories to integrate application changes, detect integration issues early, and improve software delivery consistency.
Automated Testing and Quality Assurance – Learners developed testing workflow concepts to validate application functionality, identify defects, and support reliable updates to banking portals, transaction services, and financial applications.
Containerisation and Application Deployment – Learners explored Docker containerisation and Kubernetes deployment fundamentals to understand application packaging, environment consistency, workload management, and scalable deployment strategies.
Infrastructure as Code and Cloud Automation – Learners used Terraform concepts and configuration management practices to design repeatable infrastructure provisioning workflows, reduce manual configuration errors, and support consistent development, testing, and production environments.
DevSecOps and Financial Data Protection – Learners incorporated security considerations such as secrets management, access control, dependency vulnerability checks, secure configuration, and pipeline security validation to support financial application protection and compliance-aware delivery.
Monitoring and Operational Visibility – Learners explored monitoring, logging, dashboards, and alerting concepts to identify application performance issues, investigate deployment failures, and improve visibility into digital banking services.
Release Management and Rollback Planning – Learners designed release workflows involving deployment validation, controlled rollout strategies, rollback planning, and environment-specific approvals to help minimise disruption to customer-facing financial services.
Cross-Functional Collaboration – Learners aligned development, testing, security, infrastructure, and operations teams through shared workflows, version-controlled configurations, automated pipelines, and structured release coordination.
Risk Management and Service Reliability – Learners evaluated deployment risks, application availability, transaction-processing reliability, infrastructure changes, and incident response considerations before implementing software updates in banking environments.
Evidence of Learning – Learners produced Git workflow diagrams, CI/CD pipeline configurations, automated testing plans, Docker deployment examples, Infrastructure as Code templates, monitoring strategies, security checklists, rollback plans, and banking DevOps improvement recommendations.
Overall Learner Outcome – Learners demonstrated the ability to analyse banking software delivery challenges, design CI/CD workflows, automate infrastructure provisioning, apply containerisation concepts, integrate security checks, monitor application performance, and support reliable software releases in banking and financial services environments.
Helpful answers for planning your training
Frequently asked questions
Complete DevOps Mastery Training is a practical programme covering DevOps engineering, CI/CD pipelines, cloud automation, containerisation, Infrastructure as Code, monitoring, and deployment management. It helps learners understand how development and operations practices work together to support efficient software delivery.
The course is suitable for aspiring DevOps engineers, software developers, system administrators, cloud engineers, QA professionals, and IT operations specialists who want to build practical automation and deployment skills.
Learner reviews
Rated by 2,187 learners
Rating and review totals are controlled per course in the CRM.
3.7out of 5
Popular cities in Pitcairn
Compare city information, course curriculum, exam details and ways to enquire.
Book with clarity
Clear pricing, protected approval and learner support
Approval before payment
A secure payment link is shared only after the CRM team confirms the request.
Live instructor-led delivery
Ask questions during the session and learn alongside a scheduled cohort.
Verified learner feedback
Published course feedback is linked to completed learner records and CRM approval.
Visible schedules
Review weekday and weekend dates, duration, timezone and seat availability before booking.