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From engineer to cloud architect: enterprise cloud architecture, platform engineering, service mesh, SRE, security, and AI infrastructure at scale.
8 modules · 48 lessons
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.
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.
Complete this course to earn a verified Ucanly certificate you can add to your profile, share on LinkedIn, and showcase to employers as proof of the skills you've built.
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.