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AdvancedCloud Computing and DevOps8 weeks
Certificate IncludedCertificate EligibleUcanly certificate

Cloud Computing and DevOps: Advanced

From engineer to cloud architect: enterprise cloud architecture, platform engineering, service mesh, SRE, security, and AI infrastructure at scale.

Duration
8 weeks
Level
Advanced
Content
48 lessons
8 modules · 16 h 30 min
Certificate
Included
On completion
Access
Fee by email
Or take the free aptitude test

What you'll learn

Architect multi account, multi region cloud platforms with landing zones and hybrid or multi cloud strategy
Scale Infrastructure as Code across teams with Terragrunt and enforce policy as code with OPA and Kyverno
Build internal developer platforms with self service portals using Backstage and Crossplane
Understand Kubernetes internals, write custom operators, and secure traffic with an Istio service mesh
Apply SRE principles with SLOs, error budgets, OpenTelemetry tracing, and chaos engineering
Design Zero Trust security with Vault, workload identity, and CKS level Kubernetes hardening
Build event driven architecture with Kafka, disaster recovery plans, and FinOps cost engineering
Engineer GPU infrastructure and serve LLMs at scale with KServe, Ray, and full LLMOps pipelines
Architect and launch a multi environment, production grade cloud platform with a developer portal and AI serving layer

Who this course is for

  • Intermediate level graduates ready to architect enterprise grade cloud platforms
  • Working DevOps engineers preparing for senior DevOps engineer, cloud architect, or platform engineer roles
  • Engineers who want deep, hands on experience with service mesh, SRE, and AI infrastructure
  • Anyone targeting AWS Solutions Architect Professional, CKS, or senior level system design interviews

Skills you'll gain

Advanced DevOpsCloud ArchitectPlatform EngineeringLanding ZoneMulti CloudTerraformTerragruntCrossplaneBackstageKubernetes InternalsKubernetes OperatorsIstioService MeshKarpenterKEDASRESLOOpenTelemetryChaos EngineeringZero TrustVaultPolicy as CodeCKSKafkaDisaster RecoveryFinOpsLLMOpsGPU InfrastructureSenior DevOps Engineer

This course includes

Live mentor led Ucanly sessions plus self paced recorded content
Ucanly mock cloud architecture and system design interviews and senior portfolio review
Certification guidance for AWS Solutions Architect Professional and CKS
Resume audit with placement guidance
Production style projects in every module
Lifetime access to course materials and future updates
Advanced Certificate of Completion from Ucanly

Course content

8 modules · 48 lessons · 16 h 30 min

Cloud architecture at enterprise scale, advanced Infrastructure as Code and platform engineering, Kubernetes at depth and service mesh, site reliability engineering and resilience, cloud security and Zero Trust, data events and cost engineering at scale, AI platform engineering and LLMOps infrastructure, and a capstone enterprise cloud platform.

Requirements

  • Completion of the Intermediate level, or hands on experience running Kubernetes, Terraform, and CI/CD pipelines in a real environment
  • Comfort with cloud networking, security concepts, and scripting
  • A computer or cloud environment capable of running multi node Kubernetes clusters

About this course

This is the final stage of the Ucanly Cloud Computing and DevOps track, where engineers become cloud architects. Built for practitioners with hands on experience running Kubernetes, Terraform, and CI/CD pipelines in a real environment, this program goes deep into multi account landing zone architecture, scaling Terraform across teams with Terragrunt, and platform engineering with self service developer portals built on Backstage and Crossplane. You will master Kubernetes internals, custom operators, and service mesh with Istio, apply SRE principles with SLOs and chaos engineering, and build Zero Trust security with Vault, policy as code, and CKS level hardening. You will also cover event driven architecture with Kafka, disaster recovery, and FinOps cost engineering, then move into AI platform engineering: GPU scheduling, serving LLMs at scale with KServe and Ray, and full LLMOps pipelines. You will graduate having architected and launched a multi environment, production grade cloud platform with a self service developer portal, a service mesh, policy as code, full observability, disaster recovery, and a scalable AI serving layer.

Earn a Ucanly certificate

Complete this course to earn a Ucanly certificate with its own page and QR code. Save it as a PDF, share its link, or add it to the certifications on your LinkedIn profile.

Certificate IncludedCertificate EligibleUcanly certificate

Frequently asked questions

It is recommended, but hands on experience running Kubernetes, Terraform, and CI/CD pipelines in a real environment is sufficient to start.

Yes, you will build a self service internal developer platform using Backstage and Crossplane, letting teams provision infrastructure safely without opening a ticket.

GPU scheduling and node pool design, serving LLMs at scale with KServe and Ray, full LLMOps pipelines for deployment and rollback, and AI cost and capacity engineering.

A multi environment, production grade cloud platform with a self service developer portal, a service mesh, policy as code, full observability, disaster recovery, and a scalable AI serving layer, mentored end to end by Ucanly.