
Devops Specialist Course
Master the tools, workflows, and culture that modern engineering teams rely on to ship software fast and reliably. This course takes you from DevOps fundamentals all the way through Kubernetes, CI/CD pipelines, Infrastructure as Code, and site reliability engineering. You will graduate with practical skills that map directly to real job responsibilities.
What you will learn:
You will learn how to build and maintain CI/CD pipelines, containerise applications with Docker, and orchestrate workloads at scale using Kubernetes. The course covers Infrastructure as Code, GitOps, and progressive delivery strategies that reduce deployment risk. You will instrument systems for full-stack observability and apply SRE practices including SLOs and error budgets. Security is embedded throughout, covering DevSecOps, secrets management, and supply chain integrity. You will also explore AI-assisted automation, platform engineering, and stakeholder communication skills that help you drive DevOps adoption across your organisation.
How you study in practice Devops Specialist Course
How you practise Devops Specialist Course
For companies looking to train their teams
With Dedika for businesses, the course includes exercises and examples tailored to your company and its specific needs.
Course content
8 Chapters • 39 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsDevOps Foundations and Culture
DevOps Foundations and Culture
Lesson 1 • History and Evolution of DevOps
Traces DevOps from Agile and Lean roots to modern practice. Provides context for why DevOps emerged and what problems it solves.
Lesson 2 • Core DevOps Principles
Covers CALMS framework and the Three Ways model. Connects principles to measurable delivery improvements.
Lesson 3 • DevOps Metrics and Business Value
Introduces DORA metrics and value stream mapping. Links technical performance to business outcomes for executive communication.
Lesson 4 • Organizational Culture and Collaboration
Examines how culture enables or blocks DevOps adoption. Teaches techniques for breaking down silos between Dev and Ops.
Chapter 2HideHide detailsSee detailsVersion Control and Collaboration Workflows
Version Control and Collaboration Workflows
Lesson 1 • Monorepos and Multi-Repo Patterns
Explores trade-offs between monorepo and multi-repo architectures. Prepares students for large-scale codebase management decisions.
Lesson 2 • Git Fundamentals
Covers core Git commands, repository structure, and commit history. Forms the technical baseline for all subsequent pipeline work.
Lesson 3 • Pull Requests and Code Review
Teaches structured code review practices using pull requests. Reinforces quality gates before code reaches the main branch.
Lesson 4 • Branching Strategies
Compares GitFlow, trunk-based development, and GitHub Flow. Helps teams choose the right strategy for their release cadence.
Chapter 3HideHide detailsSee detailsContinuous Integration Pipelines
Continuous Integration Pipelines
Lesson 1 • Pipeline Security and Secrets Management
Addresses credential handling, secret injection, and supply-chain security in CI. Prevents common pipeline vulnerabilities.
Lesson 2 • Automated Testing in CI
Integrates unit, integration, and static analysis tests into pipelines. Ensures code quality gates block defective builds automatically.
Lesson 3 • Build Artifact Management
Covers artifact versioning, storage, and promotion strategies. Connects build outputs to downstream deployment stages.
Lesson 4 • CI Concepts and Pipeline Anatomy
Defines CI and explains the stages of a typical pipeline. Establishes vocabulary used throughout the chapter.
Lesson 5 • Pipeline Optimization and Maintenance
Reduces pipeline execution time through parallelism and caching. Teaches ongoing maintenance to prevent pipeline rot.
Chapter 4HideHide detailsSee detailsContainerisation and Docker
Containerisation and Docker
Lesson 1 • Docker Compose for Local Development
Uses Docker Compose to define multi-service local environments. Bridges the gap between local development and production topology.
Lesson 2 • Container Networking and Storage
Covers Docker networking modes and volume management. Enables stateful and multi-container application configurations.
Lesson 3 • Container Concepts and Architecture
Explains containers vs. virtual machines and the Linux primitives behind them. Provides the conceptual foundation for all Docker work.
Lesson 4 • Writing Effective Dockerfiles
Teaches Dockerfile syntax, layer caching, and multi-stage builds. Produces lean, secure images ready for production use.
Lesson 5 • Container Image Security
Scans images for vulnerabilities and enforces image policies. Integrates security checks into the CI pipeline for containers.
Chapter 5HideHide detailsSee detailsInfrastructure as Code
Infrastructure as Code
Lesson 1 • Provisioning Cloud Resources
Writes IaC modules to provision compute, networking, and storage. Applies reusable module patterns for scalable infrastructure.
Lesson 2 • Configuration Management
Automates OS and application configuration using configuration management tools. Ensures consistent server state across fleets.
Lesson 3 • IaC Principles and Tooling Landscape
Defines IaC, idempotency, and declarative vs. imperative approaches. Orients students within the IaC tool ecosystem.
Lesson 4 • IaC Testing and Validation
Applies linting, unit tests, and integration tests to IaC code. Catches infrastructure defects before they reach production.
Lesson 5 • IaC in CI/CD Pipelines
Integrates IaC workflows into CI/CD for automated provisioning. Enforces approval gates and change tracking for infrastructure changes.
Chapter 6HideHide detailsSee detailsContainer Orchestration with Kubernetes
Container Orchestration with Kubernetes
Lesson 1 • Kubernetes Networking and Ingress
Covers cluster networking, DNS, and ingress controllers. Enables external traffic routing and service-to-service communication.
Lesson 2 • Workload Configuration and Scheduling
Configures resource requests, limits, and scheduling constraints. Ensures workloads are placed and scaled appropriately.
Lesson 3 • Cluster Operations and Upgrades
Covers node maintenance, cluster upgrades, and disaster recovery. Prepares students for day-two operational responsibilities.
Lesson 4 • Configuration, Secrets, and Storage
Manages application configuration and sensitive data in Kubernetes. Attaches persistent storage to stateful workloads.
Lesson 5 • Kubernetes Security Hardening
Applies RBAC, pod security standards, and network policies. Reduces the attack surface of production Kubernetes clusters.
Lesson 6 • Kubernetes Architecture and Core Objects
Explains control plane, worker nodes, and foundational API objects. Builds the mental model needed to operate any Kubernetes cluster.
Chapter 7HideHide detailsSee detailsContinuous Delivery and Deployment
Continuous Delivery and Deployment
Lesson 1 • Database Change Management
Manages schema migrations as versioned, automated pipeline steps. Prevents deployment failures caused by database and application version mismatches.
Lesson 2 • CD Principles and Release Strategies
Distinguishes continuous delivery from continuous deployment. Covers release strategies that reduce blast radius of changes.
Lesson 3 • Progressive Delivery and Experimentation
Applies progressive delivery techniques to validate changes with real users. Connects deployment decisions to business metrics.
Lesson 4 • Environment Promotion Pipelines
Designs multi-stage pipelines that promote artifacts through dev, staging, and production. Enforces quality gates at each promotion boundary.
Lesson 5 • Release Automation and Orchestration
Automates release notes, changelogs, and notification workflows. Reduces manual toil in the release process.
Chapter 8HideHide detailsSee detailsObservability and Site Reliability Engineering
Observability and Site Reliability Engineering
Lesson 1 • SLIs, SLOs, and Error Budgets
Defines service level indicators and objectives tied to user experience. Uses error budgets to balance reliability and feature velocity.
Lesson 2 • Monitoring and Alerting Design
Builds actionable dashboards and alert rules that reduce noise. Connects monitoring to on-call workflows and incident response.
Lesson 3 • Chaos Engineering and Resilience Testing
Introduces controlled failure injection to validate system resilience. Builds confidence in recovery mechanisms before real incidents occur.
Lesson 4 • Observability Pillars: Metrics, Logs, Traces
Defines the three pillars of observability and their complementary roles. Establishes the instrumentation strategy for the chapter.
Lesson 5 • Incident Management and Postmortems
Structures incident response from detection through resolution. Applies blameless postmortem practices to drive systemic improvement.
Your valid completion certificate
This course is for you:
Software developer: wants to own deployments beyond just writing application code.
Systems administrator: ready to modernise manual ops work with automation and pipelines.
Cloud engineer: looking to formalise DevOps practices across infrastructure and delivery.
QA engineer: aiming to integrate testing deeper into automated delivery workflows.
IT professional: transitioning into a DevOps or platform engineering career track.
Computer science graduate: building job-ready skills before entering the engineering workforce.
What our students say
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...

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