Implement Scalable Infrastructure Using Ansible
About this course
By the end of this course, learners will be able to design scalable infrastructure, automate server configuration using Ansible playbooks, deploy databases and web servers, and deliver a fully functional web application in a startup-ready environment. This hands-on project-based course guides learners through building a complete, automated infrastructure using Ansible, from architecture design to live application deployment. Learners begin by establishing a robust system architecture and preparing managed nodes, then progress to configuring an Ansible control node and validating secure, agentless connectivity. Through structured playbooks, learners automate database installation, web server configuration, and package deployment, ensuring consistency and repeatability across environments. What makes this course unique is its end-to-end, real-world startup scenario. Instead of isolated concepts, learners implement a full infrastructure lifecycle—mirroring how DevOps and cloud engineers work in fast-growing organizations. The course emphasizes practical automation, scalability, and reliability, making it ideal for learners seeking job-ready skills. By completing this course, learners gain confidence in managing infrastructure at scale, reducing manual errors, and deploying production-ready systems using Ansible—skills highly valued in modern DevOps and cloud engineering roles.
75/100
CourseAsk score
- What the provider tells you
- 39/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- design scalable infrastructure
- automate server configuration using Ansible playbooks
- deploy databases and web servers
- deliver a fully functional web application
- validate secure, agentless connectivity
Course objectives
- build a complete automated infrastructure using Ansible
- establish a robust system architecture
- ensure consistency and repeatability across environments
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