Platform Engineer Learning Path

Build, ship, and scale modern platforms in 7 months. Master the DevOps-to-Platform journey with real-world tools, automation, and GitOps practices that top teams use.

Why this path

  • Become productive fast with a structured path from fundamentals to deployment.

  • Learn cloud-agnostic platform skills that apply across AWS, Azure, and GCP.

  • Build an interview-ready portfolio with automation-first, GitOps-driven projects.

Who it’s for

  • Aspiring Platform Engineers and DevOps Engineers.

  • System Administrators upskilling to modern infrastructure.

  • Developers transitioning into SRE and cloud roles.

What you’ll master

  • 12-Factor microservice design, containerization, and orchestration.

  • Infrastructure as Code with Terraform and configuration with Ansible.

  • CI/CD pipelines with Jenkins and GitOps deployments with Argo CD.

  • Automation using Golang, Python, and shell scripting.

  • Kubernetes-first operations for resilient, scalable apps.

Program journey (7 months)

  • Month 1: DevOps fundamentals, Git, Linux basics, shell scripting.

  • Month 2: Python basics for automation and tooling.

  • Month 3: Golang foundations for platform utilities and services.

  • Month 4: 12-Factor App, Docker for containerization, image best practices.

  • Month 5: Kubernetes fundamentals, workloads, services, and RBAC essentials.

  • Month 6: Ansible for configuration, Terraform for provisioning, environments.

  • Month 7: Jenkins CI/CD, GitOps with Argo CD, capstone, interview prep, career readiness.

Modules and outcomes

  • DevOps Prerequisite Course: Core concepts, pipelines, Git, Linux basics. Outcome: Confident with the DevOps toolchain and SDLC.

  • 12 Factor App: Principles for cloud-native, portable apps. Outcome: Design stateless services, config management, and disposability.

  • Golang: Language basics, modules, concurrent routines for tooling. Outcome: Build reliable CLI tools and microservices.

  • Python Basics Course: Scripting, modules, virtual environments, HTTP and file ops. Outcome: Automate tasks and write clean utilities.

  • Shell Scripts for Beginners: Bash, control flow, cron jobs, log parsing. Outcome: Automate repetitive ops at the OS level.

  • Docker for Absolute Beginners: Images, containers, networks, registries. Outcome: Build lean images and push to registries.

  • Kubernetes for Beginners: Pods, Deployments, Services, ConfigMaps, scaling. Outcome: Deploy and manage apps on clusters.

  • Ansible for Beginners: Playbooks, roles, idempotency, inventory. Outcome: Consistent configuration across servers.

  • Terraform for Beginners: Providers, resources, state, modules. Outcome: Provision infra reproducibly as code.

  • Jenkins: Pipelines, stages, agents, secrets, approvals. Outcome: Build, test, and deploy with automated CI/CD.

  • GitOps with ArgoCD: Declarative delivery, sync policies, rollbacks. Outcome: Version-controlled deployments at scale.

What you get

  • Structured 7-month roadmap and curated resources.

  • Assessments, quizzes, and a completion certificate.

  • Interview prep, resume review, and job application guidance.

Ready to start?

Join FlexeByte today—Flexible learning, powerful careers.

Career Impact in India

  • Average salary: ₹26+ lakhs; top platform engineers earn ₹40+ lakhs.

  • Demand: Indian tech companies are scaling up platforms—engineers who master cloud, automation, and GitOps are highly sought.

  • Job outcomes: Platform Engineer, DevOps Engineer, Cloud Engineer, Site Reliability Engineer (SRE).

Apply now and take your first step towards a Platform Engineer role in India’s booming tech landscape.