DevOps Developer Certification Training and Course

Build a strong foundation in DevOps culture, principles, and the business value of collaborative software delivery.

• Introduction to DevOps: Learn what DevOps means, why it emerged, and how it improves collaboration, delivery speed, software quality, and operational efficiency across teams.
• Benefits of DevOps: Understand how DevOps helps organizations release faster, reduce errors, improve reliability, and respond quickly to changing business needs.
• Core DevOps Principles: Learn principles such as automation, collaboration, feedback loops, continuous improvement, shared ownership, and faster value delivery through modern practices.
• DevOps Lifecycle Overview: Explore how planning, coding, building, testing, releasing, deploying, operating, and monitoring connect within a continuous delivery lifecycle model.
• DevOps Roles and Responsibilities: Understand how developers, testers, operations teams, security teams, and platform engineers contribute to successful DevOps implementation outcomes.

Learn how continuous integration and continuous delivery improve speed, consistency, and software quality.

• Continuous Integration Fundamentals: Learn how developers frequently merge code changes, run automated builds, and detect issues early through continuous integration practices.
• Continuous Delivery Concepts: Understand how automated pipelines prepare tested, release-ready software that can be deployed quickly, safely, and consistently whenever required.
• CI/CD with Jenkins: Learn how Jenkins automates builds, testing, deployments, and workflow orchestration for reliable continuous integration and delivery pipelines.
• SDLC and DevOps Culture: Explore how DevOps modernizes traditional software development lifecycle processes by improving collaboration, automation, and release efficiency across teams.
• Jenkins Features and Architecture: Understand Jenkins architecture, plugins, controller-agent models, integrations, and scalability features used in enterprise automation environments.

Build practical understanding of cloud platforms used in DevOps delivery models.

• Cloud Computing Fundamentals: Learn core cloud computing concepts and why cloud platforms enable scalable, flexible, and faster software delivery operations.
• IaaS, PaaS, and SaaS Models: Understand the differences between cloud service models and when organizations choose each option for technical and business requirements.
• Advantages of Cloud Computing: Explore benefits such as elasticity, cost optimization, rapid provisioning, global availability, and simplified infrastructure management through cloud adoption.
• Cluster Concepts in Cloud: Learn how clusters distribute workloads, improve fault tolerance, and support high availability for business-critical applications.
• Creating and Accessing AWS Clusters: Understand how to create cloud instances, access AWS environments, and prepare systems for development and deployment tasks.

Learn how to install, configure, and use Jenkins for automation pipelines.

• Installing Jenkins: Learn Jenkins installation prerequisites, setup methods, and initial configuration steps for creating a stable automation environment.
• Configuring Jenkins: Understand how to manage users, credentials, plugins, security settings, and system preferences for efficient Jenkins operations.
• Creating Jenkins Jobs: Learn how to create freestyle and pipeline jobs that automate builds, tests, packaging, and deployment workflows.
• Pipeline View and Monitoring: Explore dashboards, status views, and monitoring features that improve visibility into pipeline health and execution progress.
• Installing Artifactory Integration: Understand how artifact repositories integrate with Jenkins to store, manage, and distribute build outputs efficiently. 

Learn how version control systems improve collaboration, code management, and release consistency.

• Understanding Git Repositories: Learn how Git repositories store code changes, support collaboration, and maintain version history across distributed development teams.
• Benefits of Using Git: Understand how Git improves branching, merging, rollback capability, collaboration speed, and overall software development efficiency.
• Checkout and Code Retrieval: Learn how developers clone, pull, fetch, and check out code for local development and testing activities.
• Version Control Workflows: Explore how commits, branches, merges, and pull requests support controlled software delivery workflows.
• Creating Repositories Efficiently: Understand how to create repositories, structure projects, and manage access permissions for secure collaboration.

Build knowledge of automated builds, scheduling, and artifact management practices.

• Introduction to Build Jobs: Learn how to build jobs to automate compilation, packaging, testing, and preparation of applications for deployment pipelines.
• Build Configuration Basics: Understand how environment variables, scripts, dependencies, and parameters control build execution behavior effectively.
• Continuous Integration Pipelines: Learn how integrated build pipelines validate code continuously and reduce defects before releases.
• Managing Build Artifacts: Explore how artifacts are stored, versioned, secured, and shared across deployment stages efficiently.
• Triggers, Scheduling, and Notifications: Understand how schedules, webhooks, alerts, and notifications improve pipeline responsiveness and team coordination.

Learn how modern tools integrate to automate software delivery workflows.

• Gradle Build Automation Fundamentals: Learn how Gradle automates builds, dependency management, testing, and packaging for application projects.
• Configuring Artifactory Repositories: Understand how Artifactory stores artifacts, dependencies, and versioned packages for reliable delivery workflows.
• Creating Integrated CI/CD Pipelines: Learn how Jenkins, Gradle, and Artifactory work together to automate complete delivery pipelines.
• Pipeline Optimization Practices: Explore methods to improve pipeline speed, reliability, and maintainability using structured configurations.
• Troubleshooting Pipeline Failures: Understand how to diagnose failed stages, dependency issues, and configuration errors in CI/CD pipelines.

Develop practical knowledge of Java-based delivery automation using Maven.

• Creating Java Application Projects: Learn how to structure Java projects and prepare them for automated builds and deployments.
• Maven Build Lifecycle Basics: Understand Maven phases such as compile, test, package, verify, install, and deploy within build workflows.
• Jenkins and Maven Integration: Learn how Jenkins executes Maven jobs for continuous integration and automated testing pipelines.
• Pipeline Construction with Maven: Explore how multi-stage pipelines automate builds, tests, packaging, and release readiness processes.
• Improving Build Reliability: Understand dependency management, reusable configurations, and quality gates for stable Maven pipelines.

Learn how structured pipelines improve automation consistency, visibility, and release efficiency.

• Lab Overview and Objectives: Learn the purpose of building pipelines, expected outcomes, and how automated workflows improve delivery consistency.
• Setting Up the Environment: Understand how to prepare tools, repositories, credentials, and agents before pipeline execution begins.
• Basic Pipeline Creation: Learn how to create simple pipelines that automate build, test, and packaging stages effectively.
• Adding Triggers to Pipelines: Explore how schedules, commits, and webhooks automatically start pipelines without manual intervention.
• Pipeline Best Practices: Understand naming standards, modular stages, reusable scripts, and secure configuration methods for maintainable pipelines.

Build knowledge of integrating quality checks directly into CI/CD workflows.

• Lab Overview and Objectives: Learn how automated testing strengthens quality assurance and reduces release risks in delivery pipelines.
• Unit Test Integration: Understand how unit tests validate code behavior early and improve developer confidence during changes.
• Code Coverage Integration: Learn how coverage tools measure tested code areas and highlight missing test scenarios.
• Integration Test Automation: Explore how automated integration tests validate interactions between services, modules, and databases.
• Test Reporting and Feedback: Understand how dashboards and notifications help teams act quickly on failures.

Learn how automated quality controls maintain healthier codebases over time.

• Lab Overview and Objectives: Learn the goals of code quality automation and how it improves maintainability and reliability.
• Setting Up the Environment: Understand how plugins, scanners, credentials, and repositories are prepared for quality checks.
• Static Code Analysis Integration: Learn how static analysis detects bugs, vulnerabilities, duplications, and coding standard violations automatically.
• Quality Gates and Policies: Explore how thresholds prevent poor-quality code from progressing through pipelines.
• Continuous Code Improvement: Understand how recurring analysis drives better coding practices across teams.

Understand how deployments become faster, safer, and repeatable through automation.

• Lab Overview and Objectives: Learn how automated deployment reduces manual effort and improves release consistency.
• Setting Up the Environment: Understand servers, credentials, environments, and approvals needed before deployment automation starts.
• Deployment Pipeline Fundamentals: Learn how staged releases move applications through test, staging, and production environments.
• Rollback and Recovery Planning: Explore strategies for quick rollback when production issues occur after deployment.
• Release Governance Controls: Understand approvals, audit trails, and controls used in enterprise delivery environments.

Learn how Jenkins scales automation workloads using distributed architectures and multiple execution nodes.

• Lab Overview and Objectives: Learn the purpose of distributed Jenkins environments and how they improve scalability, speed, and workload distribution.
• Master-Agent Architecture Setup: Understand how Jenkins controller and agent nodes work together to execute pipelines efficiently across environments.
• Node Labels and Assignment: Learn how labels route jobs to the right agents based on operating system, tools, or workload needs.
• Load Distribution and Resource Optimization: Explore how multiple agents reduce bottlenecks and improve pipeline execution performance during peak workloads.
• Securing Distributed Jenkins Environments: Understand how credentials, access controls, and secure communication protect multi-node Jenkins environments.

Build practical knowledge of containerization for consistent application packaging and deployment.

• Docker Architecture Fundamentals: Learn how Docker uses images, containers, registries, and engines to package and run applications consistently.
• Benefits of Docker: Understand how Docker improves portability, scalability, faster deployments, and environment consistency across development and production systems.
• Docker Installation in AWS: Learn how to install Docker on AWS instances and prepare environments for container-based workloads.
• Deploying Images in AWS Clusters: Explore how Docker images are deployed across cloud clusters for scalable application delivery.
• Docker Commands and Operations: Understand common Docker commands for building, running, stopping, inspecting, and managing containers effectively.

Learn how centralized logging improves visibility, troubleshooting, and operational intelligence.

• Introduction to ELK Stack: Learn how Elasticsearch, Logstash, and Kibana work together for centralized log analytics and monitoring.
• Understanding Kibana: Understand how Kibana dashboards visualize logs, metrics, trends, and operational insights for teams.
• Installing and Configuring Kibana: Learn setup basics, configuration steps, and access methods for Kibana environments.
• Searching and Analyzing Logs: Explore how teams search logs, filter events, and identify incidents quickly through analytics tools.
• Operational Monitoring Best Practices: Understand how log retention, dashboards, alerts, and reviews improve production reliability over time.