Cloud and DevOps Professional TrainingProfessional cloud program

From DevOps operator to platform product engineer

Platform Engineering, Kubernetes and FinOps Professional Program

Design a secure internal delivery platform with Kubernetes, GitOps, golden paths, observability, reliability objectives and technology cost controls.

View curriculum
Recommended background

Who should take this course

  • Two or more years in development, infrastructure, cloud or operations
  • Comfort with Linux, networking, Git and containers
  • Basic infrastructure-as-code experience
  • Cloud lab access governed by budget and security controls
Capability outcomes

What you should be able to do

  • Discover developer friction and define a platform product
  • Build reusable Kubernetes and infrastructure capabilities
  • Create secure golden paths and self-service workflows
  • Operate services against SLOs with useful telemetry
  • Apply workload, cluster and software-supply-chain controls
  • Allocate and optimize cloud, SaaS and AI-related platform costs
Detailed curriculum

Six guided modules from fundamentals to applied work.

Every module combines instructor explanation, guided implementation and a practical milestone. Tools may be adapted to the sponsoring organization’s approved stack.

6Learning modules
3Guided projects
P1

Platform as a product

Prioritize developer and business outcomes instead of assembling a catalogue of tools.

Topics covered

  • Developer-journey discovery
  • Platform users and product boundaries
  • Golden-path and self-service decisions
  • Adoption, flow and reliability metrics

Practical milestone

Publish a platform product brief backed by developer-interview evidence.

Tools and platforms

Journey map · Backstage concepts · Product metrics

P2

Kubernetes platform foundations

Create a multi-environment foundation with clear tenancy, identity and networking boundaries.

Topics covered

  • Cluster and tenancy strategy
  • Workloads, scheduling and autoscaling
  • Networking, ingress and service identity
  • Configuration, secrets and storage

Practical milestone

Deploy a reference service into a policy-controlled Kubernetes environment.

Tools and platforms

Kubernetes · Helm or Kustomize · Cloud IAM · Secrets manager

P3

Infrastructure, GitOps and supply chain

Make environment and application change reviewable, repeatable and recoverable.

Topics covered

  • Terraform module and state design
  • GitOps reconciliation
  • Artifact provenance and signing
  • Progressive delivery and rollback

Practical milestone

Build a signed, GitOps-managed delivery path from commit to environment.

Tools and platforms

Terraform · GitOps controller · CI/CD · Artifact registry

P4

Golden paths and developer experience

Turn proven delivery patterns into paved roads teams can consume without ticket queues.

Topics covered

  • Service templates and scorecards
  • Portal and API self-service
  • Guardrails and exception workflow
  • Documentation and onboarding

Practical milestone

Create a service template that provisions, deploys and registers a new workload.

Tools and platforms

Developer portal concepts · Templates · APIs · Policy-as-code

P5

SRE, observability and resilience

Operate platform and application services using measurable objectives and rehearsed recovery.

Topics covered

  • Logs, metrics, traces and profiles
  • SLIs, SLOs and error budgets
  • Capacity, resilience and dependency failure
  • Incident response and game days

Practical milestone

Run a failure experiment, use telemetry to diagnose it and update the runbook.

Tools and platforms

OpenTelemetry · Metrics and tracing stack · Chaos tooling concepts

P6

FinOps and technology value

Connect engineering choices to cost allocation, unit economics and accountable optimization.

Topics covered

  • Allocation, tagging and shared cost
  • Kubernetes and idle-capacity economics
  • SaaS, licence and AI spend visibility
  • Forecasting, optimization and value reporting

Practical milestone

Produce a unit-cost dashboard and an optimization proposal with reliability guardrails.

Tools and platforms

FinOps framework · Cloud billing export · Cost dashboard

Applied learning

Turn each module into practical project work.

PROJECT 01

Kubernetes landing zone with policy-controlled delivery

PROJECT 02

Self-service golden path and developer portal workflow

PROJECT 03

Observable platform with SLO, incident and unit-cost evidence

Course completion

Projects, feedback and final review

Platform brief 10% · Kubernetes and GitOps build 30% · Golden path 20% · Reliability exercise 20% · FinOps defense 20%

Completion depends on working project evidence and a clear explanation of the learner’s decisions. Detailed rubrics, lab access and vendor prerequisites are confirmed before enrolment.

Corporate or individual training

Confirm fit, prerequisites and the next cohort.