School of Cloud & DevOps Engineering · Intermediate–Advanced
DevOps, Kubernetes & Cloud Platform Engineering Course
Master the full source-to-production DevOps stack: CI/CD, Docker, Kubernetes, Terraform, GitOps, SRE, DevSecOps and platform engineering.
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DevOps Foundations, Git and Flow of WorkContinuous Integration and Artifact ManagementDocker and Container EngineeringKubernetes Application Platform
GitGitHubGitLabAzure DevOpsGitHub Actions
How you will learn
What you will learn, module by module
Engineer automated delivery and cloud platforms using CI/CD, Docker, Kubernetes, Infrastructure as Code, cloud automation and modern platform engineering practices. Progress from DevOps Foundations, Git and Flow of Work to DevOps and Cloud Platform Capstone through guided labs, assessed projects, and portfolio evidence.
01Module 1 · 6 hoursDevOps Foundations, Git and Flow of WorkSet up a team Git workflow with branch protections, PR templates and release conventions.
Topics you will cover
- DevOps principles
- Trunk-based versus GitFlow
- Git internals basics
- Pull requests
- Code review
- Issue tracking
- Release strategy
- Tools and platforms
- Git, GitHub/GitLab/Azure DevOps
- Portfolio evidence
- Production Git workflow
- Assessment
- Workflow review
02Module 2 · 10 hoursContinuous Integration and Artifact ManagementCreate a CI pipeline that tests, scans and publishes a versioned artifact.
Topics you will cover
- CI stages
- Build/test/lint
- Dependency caching
- Artifacts
- Package/container registries
- Reusable workflows
- Secrets
- Tools and platforms
- GitHub Actions/GitLab CI/Azure Pipelines
- Portfolio evidence
- Reusable CI pipeline
- Assessment
- CI lab
03Module 3 · 10 hoursDocker and Container EngineeringContainerise a multi-service application with optimised images and local orchestration.
Topics you will cover
- Images
- Layers
- Dockerfiles
- Multi-stage builds
- Networking
- Volumes
- Compose
- Tools and platforms
- Docker, Docker Compose
- Portfolio evidence
- Containerised application stack
- Assessment
- Container lab
04Module 4 · 12 hoursKubernetes Application PlatformDeploy an application to Kubernetes with health checks, scaling, config and ingress.
Topics you will cover
- Pods
- Deployments
- Services
- Configmaps/secrets
- Ingress
- Probes
- Requests/limits
- Tools and platforms
- Kubernetes, kubectl, managed cluster or kind/minikube
- Portfolio evidence
- Kubernetes deployment repository
- Assessment
- Kubernetes practical
05Module 5 · 10 hoursHelm, GitOps and Release EngineeringPackage the app with Helm and implement a GitOps-style deployment workflow.
Topics you will cover
- Helm charts
- Environment configuration
- GitOps principles
- Desired state
- Rollout strategies
- Canary/blue-green concepts
- Rollback
- Tools and platforms
- Helm, Argo CD/Flux concepts
- Portfolio evidence
- Helm/GitOps delivery setup
- Assessment
- Release lab
06Module 6 · 12 hoursInfrastructure as Code and Cloud AutomationBuild reusable Terraform modules for network, compute/cluster and supporting services.
Topics you will cover
- Terraform modules/state
- Remote state
- Variables
- Workspaces concepts
- Policy checks
- Secrets
- Cloud resource provisioning
- Tools and platforms
- Terraform, cloud provider
- Portfolio evidence
- Reusable infrastructure modules
- Assessment
- IaC code review
07Module 7 · 10 hoursObservability, SRE and Incident ReadinessInstrument an app, define SLOs and run a game-day incident scenario.
Topics you will cover
- Metrics/logs/traces
- OpenTelemetry
- Dashboards
- SLI/SLO/error budgets
- Alert quality
- Runbooks
- Capacity
- Tools and platforms
- Prometheus/Grafana, OpenTelemetry, cloud monitoring
- Portfolio evidence
- Observability dashboard + runbook
- Assessment
- SRE scenario
08Module 8 · 8 hoursDevSecOps and Software Supply ChainAdd security scanning and policy gates to CI/CD and remediate findings.
Topics you will cover
- SAST/DAST/SCA concepts
- Container/IaC scanning
- SBOM
- Secrets scanning
- Signing/provenance concepts
- Policy gates
- Least privilege
- Tools and platforms
- GitHub Advanced Security concepts, Trivy/Snyk concepts, OPA concepts
- Portfolio evidence
- DevSecOps pipeline
- Assessment
- Security pipeline review
09Module 9 · 8 hoursPlatform Engineering and Developer ExperienceDesign a self-service golden path that provisions app, pipeline, observability and environment.
Topics you will cover
- Internal developer platforms
- Golden paths
- Templates
- Service catalogs
- Self-service environments
- Platform APIs
- Cost/governance guardrails
- Tools and platforms
- Backstage concepts, Terraform, CI/CD, Kubernetes
- Portfolio evidence
- Platform engineering blueprint
- Assessment
- Platform design review
10Module 10 · 18 hoursDevOps and Cloud Platform CapstoneBuild a complete cloud-native delivery platform for a sample application with automated infrastructure and deployments.
Topics you will cover
- Source-to-production workflow
- CI/CD
- Containers
- Kubernetes
- IaC
- GitOps
- Observability
- Tools and platforms
- GitHub, Docker, Kubernetes, Terraform, Helm, observability stack
- Portfolio evidence
- End-to-end DevOps/platform engineering portfolio
- Assessment
- Capstone demo and incident drill
Projects you will build
2 portfolio projects plus module evidence
Cloud-Native Delivery Platform
Automate infrastructure, container builds, Kubernetes deployment, GitOps, observability and security gates.
Terraform · Docker · Kubernetes · Helm · CI/CD · dashboards · runbookInternal Developer Golden Path
Design a self-service developer platform template for a new service.
Service template · pipeline · IaC module · observability · governance controls Course value
Why this course
DevOps capability comes from building dependable delivery systems with version control, CI/CD, containers, Kubernetes, infrastructure as code, observability, and platform standards.
The curriculum progresses from DevOps Foundations, Git and Flow of Work to DevOps and Cloud Platform Capstone, with guided labs, assessments, and two portfolio projects: Cloud-Native Delivery Platform and Internal Developer Golden Path.
Who this course is for
Developers, sysadmins, cloud engineers and operations professionals moving into DevOps/platform engineering.
Intermediate–AdvancedCloud & DevOps Engineer
PrerequisitesLearners should understand basic Linux, networking, Git, and cloud concepts. Some scripting experience is recommended.
What you will be able to do
- Set up a team Git workflow with branch protections, PR templates and release conventions.
- Create a CI pipeline that tests, scans and publishes a versioned artifact.
- Containerise a multi-service application with optimised images and local orchestration.
- Deploy an application to Kubernetes with health checks, scaling, config and ingress.
- Package the app with Helm and implement a GitOps-style deployment workflow.
- Design a self-service golden path that provisions app, pipeline, observability and environment.
- Build a complete cloud-native delivery platform for a sample application with automated infrastructure and deployments.
Technology you will use in this course
GitGitHubGitLabAzure DevOpsGitHub ActionsGitLab CIAzure PipelinesDockerDocker ComposeKuberneteskubectlmanaged clusterkindminikubeHelmArgo CD
Career relevance
Cloud & DevOps Engineer
This course supports the development of skills relevant to roles such as DevOps Engineer, Platform Engineer, SRE, and Cloud Platform Engineer. The strongest learner outcome is a portfolio that shows the problem, implementation, testing or evaluation, documentation and a clear explanation of decisions—not a certificate alone.
Course evidence and instruction
Ranjeet Kumar
Advisor, Brightnest AI Academy · Innovation & Growth LeaderA technologist and data leader with 15+ years of experience applying data, artificial intelligence and machine learning to complex problems, scalable products and business growth.
Learner experience
The cloud labs gave me evidence I could discuss in interviews—from networking and Linux to Docker, monitoring and deployment decisions.
Industry and technology ecosystem
Microsoft
Clear answers before you enrol
Master the full source-to-production DevOps stack: CI/CD, Docker, Kubernetes, Terraform, GitOps, SRE, DevSecOps and platform engineering.
Is the DevOps & Kubernetes course suitable for beginners?
This course progresses from intermediate to advanced level. Learners should understand basic Linux, networking, Git, and cloud concepts. Some scripting experience is recommended.
What will I build during the course?
You will complete guided labs in every module and build two portfolio projects: Cloud-Native Delivery Platform and Internal Developer Golden Path. Deliverables include working files or code, documentation, testing or evaluation evidence, and a final presentation.
Which tools and platforms are covered?
Key tools include Git, GitHub, GitLab, Azure DevOps, GitHub Actions, GitLab CI, Azure Pipelines, and Docker. Additional platforms are introduced in relevant modules through practical tasks, and the toolset may evolve as industry practice changes.
How long does the course take?
The course includes approximately 104 guided learning hours across 10 modules, normally delivered over 13–15 weeks depending on batch intensity and learner practice time.
Which career paths can this course support?
The curriculum supports the development of skills relevant to roles such as DevOps Engineer, Platform Engineer, SRE, and Cloud Platform Engineer. Career outcomes depend on prior experience, project quality, interview readiness and market conditions; employment is not guaranteed.
Will I receive mentor and career support?
The course includes live instruction, lab support, assignment feedback, project reviews and career preparation covering portfolio development, resume writing, LinkedIn profile improvement, and interview guidance.
Ready to start?
A-56, Sector-64, Noida, Uttar Pradesh – 201301Ready to start your DevOps, Kubernetes & Cloud Platform Engineering journey?
Review the full curriculum, experience a live class and confirm the right starting point before enrolling.