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YAML for DevOps Configuration Course
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YAML for DevOps Configuration Course

Master YAML as the backbone of modern DevOps infrastructure — from CI/CD pipelines and Kubernetes manifests to Ansible playbooks and GitOps workflows. This course delivers hands-on, practical skills that translate directly into cleaner configs, faster deployments, and more secure systems.

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What you will learn:

  • Configure GitHub Actions and GitLab CI/CD pipelines using production-ready YAML syntax.

  • Build and validate Kubernetes manifests for Deployments, Services, RBAC, and ConfigMaps.

  • Apply anchors, aliases, and merge keys to write DRY, maintainable configuration files.

  • Implement GitOps workflows with ArgoCD and Flux using declarative YAML-driven delivery.

  • Enforce schema validation and policy-as-code checks as automated quality gates in pipelines.

  • Manage secrets securely across YAML-driven systems using Sealed Secrets and External Secrets Operator.

How you study in a practical way YAML for DevOps Configuration Course

How you practise YAML for DevOps Configuration Course

For companies looking to train their teams

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Course content

8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

YAML Fundamentals and Syntax Basics

  • Lesson 1 • What YAML Is and Why It Matters

    Introduces YAML's origin, design philosophy, and role in modern config management. Establishes context for why DevOps teams prefer YAML over XML and JSON.

  • Lesson 2 • Core Syntax Rules and Structure

    Covers indentation, whitespace sensitivity, and document markers. Correct syntax habits prevent the most common parsing errors in pipelines.

  • Lesson 3 • Validating and Linting YAML Files

    Introduces tools and techniques for catching syntax errors before deployment. Validation is the first quality gate in any DevOps workflow.

  • Lesson 4 • Collections: Mappings and Sequences

    Teaches key-value mappings and ordered sequences as YAML's primary data structures. These structures underpin every real-world config file.

  • Lesson 5 • Scalar Data Types in YAML

    Explains strings, integers, floats, booleans, and null values with type-coercion pitfalls. Accurate typing prevents silent bugs in automation scripts.

Chapter 2See details

Advanced YAML Features and Reuse

  • Lesson 1 • Anchors and Aliases for Reuse

    Defines anchors (&) and aliases (*) to reference repeated data blocks. Reduces duplication and keeps large config files consistent.

  • Lesson 2 • Merge Keys for Shared Defaults

    Explains the << merge key to inherit and override shared mapping defaults. Enables template-like patterns without external tooling.

  • Lesson 3 • YAML Schema and Tag Customization

    Introduces YAML schemas (failsafe, JSON, core) and custom tags for domain-specific types. Enables precise type control in advanced toolchains.

  • Lesson 4 • Complex Nested Structures

    Builds skills for deeply nested mappings and mixed-type sequences. Prepares learners for real infrastructure configs with layered hierarchies.

  • Lesson 5 • Multi-Document YAML Files

    Covers --- separators to bundle multiple documents in one file. Widely used in Kubernetes manifests and CI pipeline definitions.

Chapter 3See details

YAML in CI/CD Pipeline Configuration

  • Lesson 1 • GitLab CI/CD Pipeline Files

    Teaches .gitlab-ci.yml structure including stages, scripts, and extends. Covers GitLab-specific features like rules and include directives.

  • Lesson 2 • CI/CD Pipeline Concepts and YAML Mapping

    Maps CI/CD stages, jobs, and steps to YAML structures. Establishes the mental model needed before writing any pipeline file.

  • Lesson 3 • Pipeline Optimization Techniques

    Covers caching, parallelism, conditional execution, and dependency graphs. Reduces pipeline runtime and resource consumption in production workflows.

  • Lesson 4 • Writing GitHub Actions Workflows

    Covers workflow syntax, job dependencies, and reusable actions in GitHub Actions YAML. Produces working CI workflows for code repositories.

  • Lesson 5 • Pipeline Variables and Secrets Management

    Explains how to inject secrets and environment-specific values into pipelines safely. Prevents credential exposure in version-controlled YAML files.

Chapter 4See details

Kubernetes Manifests with YAML

  • Lesson 1 • Namespaces, RBAC, and Resource Quotas

    Defines multi-tenancy controls using YAML-based namespace and RBAC objects. Enforces least-privilege access and resource boundaries.

  • Lesson 2 • Services, ConfigMaps, and Secrets

    Teaches networking and configuration injection objects in YAML. Decouples app config from container images for portability.

  • Lesson 3 • Kubernetes Resource Model and YAML

    Explains apiVersion, kind, metadata, and spec as the universal manifest skeleton. Every Kubernetes object follows this four-field pattern.

  • Lesson 4 • Helm Charts and YAML Templating

    Introduces Helm as a YAML templating layer over raw Kubernetes manifests. Enables parameterised, reusable application packaging.

  • Lesson 5 • Pods, Deployments, and ReplicaSets

    Covers the core workload objects and their YAML definitions. Deployments are the standard unit of application delivery in Kubernetes.

Chapter 5See details

Infrastructure as Code with YAML

  • Lesson 1 • IaC Principles and YAML's Role

    Explains declarative vs. imperative IaC and where YAML fits in the toolchain. Sets the foundation for tool-specific chapters that follow.

  • Lesson 2 • Drift Detection and Config Reconciliation

    Explains how IaC tools detect and correct drift between desired and actual state. Ensures YAML configs remain the authoritative source of truth.

  • Lesson 3 • AWS CloudFormation Templates

    Teaches CloudFormation YAML template sections for provisioning AWS resources. Covers parameters, resources, and outputs for reusable stacks.

  • Lesson 4 • Pulumi and YAML-Based IaC

    Introduces Pulumi's YAML provider for defining cloud resources without a programming language. Broadens learners' IaC tool awareness.

  • Lesson 5 • Ansible Playbooks and Inventory Files

    Covers Ansible playbook structure, tasks, handlers, and inventory YAML. Ansible is the most widely used YAML-driven config management tool.

Chapter 6See details

YAML Schema Validation and Quality Control

  • Lesson 1 • Kubernetes Manifest Validation Tools

    Introduces kubeval, kubeconform, and kube-score for Kubernetes-specific YAML checks. Catches API version deprecations and best-practice violations early.

  • Lesson 2 • Custom Validation Rules and Policies

    Covers writing custom rules with tools like Conftest and OPA for policy-as-code. Enforces organisational standards beyond basic schema checks.

  • Lesson 3 • Automated YAML Testing in Pipelines

    Integrates schema and policy checks into CI pipelines as automated gates. Prevents invalid configs from reaching staging or production environments.

  • Lesson 4 • Documentation and Style Guides for YAML

    Establishes team-wide YAML style conventions and inline documentation practices. Consistent style reduces review friction and onboarding time.

  • Lesson 5 • JSON Schema for YAML Validation

    Applies JSON Schema to validate YAML structure, types, and required fields. JSON Schema is the dominant validation standard for YAML in DevOps.

Chapter 7See details

GitOps and YAML-Driven Deployments

  • Lesson 1 • Kustomize for Environment Overlays

    Uses Kustomize kustomization.yaml to manage base and overlay configs per environment. Eliminates environment-specific file duplication.

  • Lesson 2 • GitOps Principles and YAML Alignment

    Defines the four GitOps principles and explains how YAML manifests fulfil them. Establishes the conceptual foundation before tool configuration.

  • Lesson 3 • Flux CD Kustomization and Sources

    Teaches Flux GitRepository, Kustomization, and HelmRelease YAML resources. Flux's toolkit approach offers fine-grained GitOps control.

  • Lesson 4 • Progressive Delivery with YAML

    Introduces canary and blue-green deployments configured via YAML in Argo Rollouts. Reduces deployment risk through incremental traffic shifting.

  • Lesson 5 • ArgoCD Application Manifests

    Covers ArgoCD Application and AppProject YAML resources for cluster delivery. Enables declarative management of deployed applications.

Chapter 8See details

Security, Secrets, and YAML Best Practices

  • Lesson 1 • Least-Privilege YAML Configuration

    Applies least-privilege principles to Kubernetes RBAC, pod security, and network policies. Reduces blast radius of misconfigured or compromised workloads.

  • Lesson 2 • YAML Injection and Parsing Attacks

    Explains YAML deserialisation vulnerabilities and injection vectors in dynamic configs. Awareness of these risks is essential for secure pipeline design.

  • Lesson 3 • Secrets Management in YAML Workflows

    Covers safe patterns for injecting secrets into YAML-driven systems without hardcoding. Prevents credential leaks in version-controlled files.

  • Lesson 4 • YAML at Scale: Modularisation Strategies

    Teaches splitting large configs into composable modules using includes, overlays, and generators. Manages complexity in enterprise-scale YAML repositories.

  • Lesson 5 • Auditing and Compliance for YAML Configs

    Covers change tracking, audit logs, and compliance scanning for YAML-managed infrastructure. Satisfies governance requirements in regulated environments.

Certification

Your valid completion certificate

This course is for you:

  • Junior DevOps engineers: ready to stop guessing why their configurations break.

  • Backend developers: stepping into infrastructure responsibilities for the first time.

  • Sysadmins: transitioning from shell scripts towards modern declarative tooling.

  • Platform engineers: standardising YAML practices across growing engineering teams.

  • Cloud engineers: working daily with Kubernetes but lacking structured YAML foundations.

  • Career changers: entering DevOps from QA, support, or adjacent technical roles.

What our students say

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