This is a complete, skills-first program that takes you from Linux system administration to provisioning global cloud infrastructure with code. Across five courses, you'll build every layer of the modern DevOps stack — not through lectures, but through hands-on labs that simulate real production environments.
Every course in this program uses the same Practice-and-Compare methodology: you attempt each lab independently, then watch a solution video that deconstructs the expert approach step by step, showing you not just what to do, but why. This iterative cycle of doing, comparing, and correcting builds the execution habits and professional instincts that classroom instruction alone cannot develop.
You'll start with the Linux and systems administration skills that underpin every DevOps role. From there, you'll build automated CI/CD pipelines with Git and Jenkins, package and deploy applications using Docker and Docker Compose, orchestrate containerized workloads at scale with Kubernetes, and provision entire cloud environments in AWS using Terraform and Ansible. By the end of the program, you'll have hands-on experience with the full DevOps toolchain used by engineers across the technology industry.
Who this is for
Developers, systems administrators, and technical professionals with Linux experience who want to transition into or advance within a DevOps engineering role. Prior programming or scripting experience is helpful but not required.
Applied Learning Project
The Specialization features practical projects modeled after professional DevOps engineering tasks. You will develop job-ready skills through the following course-specific milestones:
Linux and Systems: Establish secure, automated environments utilizing SELinux, SSH hardening, and Cron.
CI/CD: Construct a robust Jenkins pipeline featuring parameterized builds and a multi-stage declarative deployment integrated with Ansible.
Docker: Create Dockerfiles, manage multi-service application stacks with Docker Compose, and deploy Python-based containerized applications.
Kubernetes: Handle stateful workloads using Secrets and Persistent Volumes, resolve issues in Python/Redis/MySQL stacks, and manage Jenkins within a cluster.
Infrastructure Automation: Use Terraform code to architect an AWS landing zone, encompassing VPCs, IAM policies, EC2 instances, and CloudWatch alarms.
Each completed project serves as a tangible demonstration of applied expertise for prospective employers.
