Intro to Managing Resources Using Infrastructure-as-Code
Offered By: Codio via Coursera
Course Description
Overview
Explore Infrastructure as Code concepts without installing anything!
This course is designed for beginning learners, providing a solid foundation of managing cloud resources using Infrastructure as Code techniques. Some of these techniques include: Ansible, Docker, Kubernetis, and Terraform. The modules in this course cover the configuration of containers, deploying those containers, and finally configuring the cloud. At the end of the course, learners will be able to directly implement these techniques to help them manage their own cloud resources.
To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and suggested exploration examples, building a deeper understanding by doing. You'll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling answer blocks) to small, approachable exercises that take minutes instead of hours.
Syllabus
- Configure the Environment
- Welcome to Week 1 of the Intro to Managing Resources Using Infrastructure-as-Code course. These assignments cover how to manually configure a system with Bash scripts, automate the process with Ansible, and build specific environments with Docker. The module ends with graded exercises.
- Deploy Containers
- Welcome to Week 2 of the Intro to Managing Resources Using Infrastructure-as-Code course. These assignments cover containerization with Docker and container orchestration with Kubernetes. The module ends with graded exercises.
- Configuring the Cloud
- Welcome to Week 3 of the Intro to Managing Resources Using Infrastructure-as-Code course. These assignments cover the key elements of cloud infrastructure, Terraform use cases, and how to manage multiple instances of your infrastructure. The module ends with graded exercises.
Taught by
Anh Le and Max Kraev
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