Multi-Cloud Platform Engineer

Multi-Cloud Platform Engineer

  • 7 Phases
  • 24 Lessons
  • 6.5 Hrs
  • Beginner Advanced
Category Cloud computing
Multi-Cloud Platform Engineer
Learning Path 24 Lessons 6.5 Hrs

Start Phase
  • Linux Fundamentals for Cloud Platforms 07:46
  • Bash & Shell Scripting 32:18
  • Python for Cloud Automation (SDKs, APIs) 31:20

Start Phase
  • AWS Core Services (Compute, Storage, Networking) 7:51
  • Azure & GCP Core Services 06:48
  • Multi-Cloud IAM & Identity Management 09:10

Start Phase
  • Docker & Container Fundamentals 31:48
  • Kubernetes Architecture & Core Components 16:21
  • Kubernetes Workloads, Networking & Ingress 31:48
  • Kubernetes Security (RBAC, Secrets, Policies) 27:37

Start Phase
  • Terraform Fundamentals 18:14
  • Advanced Terraform (Modules, Variable) 15:23
  • GitOps with ArgoCD / Flux 08:49
  • Multi-Cloud Infrastructure Standardization 06:18

Start Phase
  • Platform Engineering Concepts 06:09
  • Internal Developer Platform 14:11
  • Self-Service Infrastructure(Pepole,Process,Product) 16:04
  • Cloud Security & Governance 16:05

Start Phase
  • CI/CD Pipelines for Platform Teams 32:30
  • Secrets & Configuration Management 18:44
  • Observability (Metrics, Logs, Traces) 02:45
  • Operational Readiness & Platform Support 11:24

Start Phase
  • Build a Multi-Cloud Internal Developer Platform 14:27
  • End-to-End Platform Engineering 15:12

Start your Multi-Cloud Platform Engineer journey

Learn at your own pace. Total estimated time 6.5 hours

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