Cloud Computing and DevOps: Intermediate
Go from coder to DevOps engineer: advanced AWS architecture, Terraform, Ansible, Kubernetes, GitOps, and observability.
- Duration
- 8 weeks
- Level
- Intermediate
- Content
- 47 lessons
- 8 modules · 14 h 53 min
- Certificate
- Included
- On completion
- Access
- Fee by email
What you'll learn
Who this course is for
- Beginner level graduates ready to move into professional DevOps engineering
- Developers and system administrators transitioning into cloud and platform engineering roles
- DevOps practitioners preparing for AWS Solutions Architect Associate or CKA certification
- Anyone who wants hands on experience with Kubernetes, GitOps, and production observability
Skills you'll gain
This course includes
Course content
8 modules · 47 lessons · 14 h 53 min
Cloud architecture on AWS, Infrastructure as Code with Terraform, configuration management and automation, Kubernetes container orchestration, advanced Kubernetes and GitOps delivery, advanced CI/CD and DevSecOps, observability and reliability, and a capstone production grade cloud platform.
Requirements
- Completion of the Beginner level, or working knowledge of Linux, Git, AWS basics, Docker, and simple CI/CD pipelines
- A computer capable of running Docker and command line cloud tools
- Comfort with basic scripting and cloud console navigation
About this course
Level up from coder to DevOps engineer. This intermediate program from Ucanly takes practitioners with working knowledge of Linux, Git, AWS basics, Docker, and simple CI/CD pipelines into professional cloud and platform engineering: advanced AWS architecture with VPC design, load balancing, and serverless, Infrastructure as Code with Terraform modules and remote state, and configuration management with Ansible. You will master Kubernetes at scale, including Helm packaging, GitOps delivery with ArgoCD, and managed EKS clusters, plus advanced CI/CD with DevSecOps practices and supply chain security. On observability, you will build monitoring, logging, and tracing stacks with Prometheus, Grafana, and Loki, apply SRE foundations like SLOs and error budgets, and deploy and scale AI workloads on Kubernetes. You will graduate having shipped a production style, highly available application running on Kubernetes with infrastructure as code, GitOps delivery, autoscaling, monitoring, and alerting.
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.
Frequently asked questions
It is recommended, but working knowledge of Linux, Git, AWS basics, Docker, and simple CI/CD pipelines is sufficient to start.
Yes, you will deploy full applications on Kubernetes, package them with Helm, and set up GitOps delivery with ArgoCD, including managed EKS clusters.
You will build monitoring, logging, and tracing stacks with Prometheus, Grafana, and Loki, and apply SRE foundations like SLIs, SLOs, and error budgets.
A production style, highly available application running on Kubernetes with infrastructure as code, GitOps delivery, autoscaling, monitoring, and alerting, mentored by Ucanly.