
Cloud and DevOps Course
Master the tools and practices that power modern software delivery — from Docker and Kubernetes to Terraform and CI/CD pipelines. This course gives you hands-on experience with the exact technologies companies are hiring for right now. Build real skills, ship real infrastructure, and stand out in a competitive job market.
What you will learn:
You will gain a thorough understanding of cloud computing models, Linux administration, and networking fundamentals that every DevOps engineer needs. You will learn to containerize applications with Docker, orchestrate them with Kubernetes, and provision cloud infrastructure using Terraform. The course covers designing and implementing CI/CD pipelines with automated testing, security scanning, and multiple deployment strategies. You will also set up full observability stacks using Prometheus, Grafana, and distributed tracing tools. Additional topics include GitOps workflows, microservices architecture, cloud security, and FinOps cost optimization practices.
How you study in a practical way Cloud and DevOps Course
How you practise Cloud and DevOps Course
For companies looking to train their teams
With Dedika for businesses, the course includes exercises and examples tailored to your own business and the way your company needs.
Course content
8 Chapters • 38 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsCloud Computing Foundations and Concepts
Cloud Computing Foundations and Concepts
Lesson 1 • Cloud Computing Paradigm Overview
Defines cloud computing, its evolution from traditional IT, and key characteristics. Establishes vocabulary used throughout the course.
Lesson 2 • Core Cloud Infrastructure Components
Introduces virtual machines, storage types, networking primitives, and managed services. Provides the building blocks for hands-on labs in later chapters.
Lesson 3 • Cloud Service Models Explained
Covers IaaS, PaaS, and SaaS with real-world use cases. Connects service model choice to cost, control, and operational responsibility.
Lesson 4 • Cloud Economics and Pricing Models
Explains pay-as-you-go, reserved, and spot pricing alongside total cost of ownership analysis. Enables cost-aware architectural decisions.
Lesson 5 • Cloud Deployment Models
Examines public, private, hybrid, and multi-cloud architectures. Guides learners in matching deployment models to business requirements.
Chapter 2HideHide detailsSee detailsLinux and Networking Essentials for Cloud
Linux and Networking Essentials for Cloud
Lesson 1 • Secure Remote Access and SSH
Explains SSH key-pair authentication, tunneling, and secure file transfer. Establishes secure access patterns used in all subsequent hands-on labs.
Lesson 2 • Firewalls and Network Security Groups
Introduces firewall rules, security groups, and network access control lists in cloud environments. Prepares students to enforce least-privilege network policies.
Lesson 3 • Networking Fundamentals for Cloud
Teaches IP addressing, subnetting, DNS, and routing concepts essential for cloud network design. Connects theory to virtual network configuration tasks.
Lesson 4 • Linux Command Line Proficiency
Covers file system navigation, permissions, process management, and shell scripting basics. These skills underpin all server-side cloud operations.
Chapter 3HideHide detailsSee detailsVersion Control with Git
Version Control with Git
Lesson 1 • Branching and Merging Strategies
Teaches branch creation, merging, rebasing, and conflict resolution. Connects branching strategy to team collaboration and release management.
Lesson 2 • Remote Repositories and Collaboration
Explains push, pull, fetch, and pull request workflows on hosted platforms. Prepares students for team-based development practices.
Lesson 3 • Git Workflows for DevOps Teams
Compares GitFlow, trunk-based development, and feature flag strategies. Aligns version control practices with CI/CD pipeline requirements.
Lesson 4 • Git Core Concepts and Setup
Covers repository initialization, commits, staging, and configuration. Establishes the mental model of Git's directed acyclic graph.
Chapter 4HideHide detailsSee detailsContainerization with Docker
Containerization with Docker
Lesson 1 • Container Registries and Image Distribution
Covers pushing and pulling images from public and private registries. Prepares students for image management in CI/CD pipelines.
Lesson 2 • Building Docker Images
Covers Dockerfile syntax, layer caching, multi-stage builds, and image optimization. Directly enables creation of production-ready application images.
Lesson 3 • Running and Managing Containers
Teaches container run options, volume mounts, environment variables, and resource limits. Connects runtime configuration to application reliability.
Lesson 4 • Docker Compose for Multi-Container Apps
Introduces Docker Compose file syntax for defining multi-service applications. Enables local development environments that mirror production topology.
Lesson 5 • Container Concepts and Docker Architecture
Explains containers vs. virtual machines, Docker Engine components, and the container lifecycle. Provides the conceptual foundation for all Docker operations.
Chapter 5HideHide detailsSee detailsContainer Orchestration with Kubernetes
Container Orchestration with Kubernetes
Lesson 1 • Kubernetes Architecture and Core Objects
Explains control plane components, worker nodes, and fundamental API objects. Builds the mental model needed to operate any Kubernetes cluster.
Lesson 2 • Kubernetes Networking and Ingress
Teaches ClusterIP, NodePort, LoadBalancer services, and Ingress controllers. Enables external traffic routing and service-to-service communication.
Lesson 3 • Deploying Applications on Kubernetes
Covers writing manifests, applying configurations, and managing rollouts. Connects declarative configuration to reliable application delivery.
Lesson 4 • Scaling and Resource Management
Covers Horizontal Pod Autoscaler, resource requests and limits, and cluster autoscaling. Ensures cost-efficient and resilient workload operation.
Lesson 5 • Persistent Storage in Kubernetes
Introduces PersistentVolumes, PersistentVolumeClaims, and StorageClasses. Addresses stateful workload requirements within containerized environments.
Chapter 6HideHide detailsSee detailsInfrastructure as Code with Terraform
Infrastructure as Code with Terraform
Lesson 1 • Remote State and Team Collaboration
Explains remote backends, state locking, and workspace isolation for team workflows. Prevents state conflicts in multi-engineer environments.
Lesson 2 • Terraform in CI/CD Pipelines
Integrates Terraform plan and apply steps into automated pipelines with policy checks. Enables safe, auditable infrastructure changes at delivery speed.
Lesson 3 • Terraform Fundamentals and Workflow
Introduces HCL syntax, providers, resources, and the init-plan-apply workflow. Establishes the declarative mindset central to infrastructure as code.
Lesson 4 • Terraform Modules and Reusability
Teaches module creation, composition, and versioning for reusable infrastructure patterns. Connects modular design to team-scale infrastructure management.
Lesson 5 • Variables, Outputs, and Data Sources
Covers input variables, local values, output blocks, and data source queries. Enables parameterized and reusable infrastructure configurations.
Chapter 7HideHide detailsSee detailsCI/CD Pipeline Design and Implementation
CI/CD Pipeline Design and Implementation
Lesson 1 • Building Automated Test Stages
Covers unit, integration, and end-to-end test automation within pipelines. Ensures quality gates prevent defective code from reaching production.
Lesson 2 • Pipeline Security and Compliance Gates
Integrates static analysis, dependency scanning, and compliance checks into pipelines. Shifts security left to catch vulnerabilities before deployment.
Lesson 3 • Deployment Strategies and Release Patterns
Explains blue-green, canary, and rolling deployment strategies with rollback procedures. Enables zero-downtime releases with controlled blast radius.
Lesson 4 • CI/CD Principles and Pipeline Anatomy
Defines continuous integration, delivery, and deployment with pipeline stage concepts. Frames the value of automation in reducing lead time and defect rates.
Lesson 5 • Artifact Build and Registry Integration
Teaches building container images, publishing packages, and managing artifact versions. Connects build outputs to downstream deployment stages.
Chapter 8HideHide detailsSee detailsCloud Monitoring, Observability, and SRE Practices
Cloud Monitoring, Observability, and SRE Practices
Lesson 1 • Observability Pillars: Metrics, Logs, and Traces
Introduces the three pillars of observability and their complementary roles. Establishes the foundation for building a complete monitoring strategy.
Lesson 2 • Metrics Collection and Dashboarding
Covers time-series metrics collection, alerting rules, and dashboard design. Enables real-time visibility into system health and performance.
Lesson 3 • SRE Principles and Incident Management
Covers SLIs, SLOs, error budgets, and structured incident response processes. Aligns reliability engineering with business availability requirements.
Lesson 4 • Distributed Tracing and APM
Explains trace propagation, span analysis, and application performance monitoring. Enables end-to-end latency diagnosis across microservices.
Lesson 5 • Centralized Log Management
Teaches log aggregation, parsing, indexing, and search for distributed systems. Connects log analysis to faster root cause identification.
Your valid completion certificate
This course is for you:
Career changers: looking to break into cloud engineering from an unrelated tech role.
Junior developers: wanting to expand beyond coding into infrastructure and deployment work.
System administrators: ready to modernize their skill set for cloud-native environments.
IT support professionals: aiming to move into a more technical, higher-paying engineering track.
Computer science students: preparing to enter the job market with practical, employer-ready skills.
Startup generalists: responsible for both building and shipping software without a dedicated ops team.
What our students say
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

I like how the lessons are straight to the point and how I can change chapters and skip content that I don't need.

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The platform is fast, simple to use. The diversity of content and complementary videos help a lot in learning.

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