Coursera - Master Devops: Ci/cd, Automation & Monitoring Specialization
 

Harness the power of DevOps to streamline software delivery and become an expert in version control, CI/CD automation, infrastructure provisioning, and full-stack monitoring for efficient development, deployment, and operations across cloud-native environments
What you'll learn
Define and apply branching strategies and collaboration workflows with Git to organize and manage source code effectively.
Construct and automate end-to-end CI/CD pipelines in Jenkins, integrating build, test, artifact promotion, and rollback steps.
Develop infrastructure as code using Ansible playbooks, Terraform modules, and CloudFormation templates.
Analyze Prometheus metrics and interpret Grafana dashboards to monitor and troubleshoot system health.
Skills you'll gain
Git (Version Control System)
Continuous Delivery
Infrastructure as Code (IaC)
Prometheus (Software)
AWS CloudFormation
Version Control
Docker (Software)
Ansible
Jenkins
Continuous Deployment
Continuous Integration
Linux Commands
The Mastering DevOps: CI/CD, Automation & Monitoring specialization is designed to equip professionals with the essential skills needed to implement and manage end-to-end DevOps workflows. Through a blend of foundational theory and hands-on labs, this specialization prepares you to tackle the challenges of modern software delivery pipelines.
The specialization includes four courses
DevOps Essentials and Version Control with Git - Establish a strong base in Git fundamentals, branching strategies, and team collaboration best practices.
Continuous Integration and Continuous Deployment - Learn to author, secure, and optimize Jenkins pipelines, integrating testing, artifact management, and rollback strategies.
Infrastructure as Code and Monitoring - Master Ansible roles and playbooks, Terraform modules, and AWS CloudFormation templates for reliable, repeatable provisioning.
Containerization and Orchestration - Gain hands-on experience with Prometheus and Grafana for metrics and alerting, and with Docker and Kubernetes (including Helm) to deploy and scale containerized applications.
By the end of this specialization, you will be prepared to design and operate automated delivery pipelines, provision and manage cloud resources programmatically, implement proactive monitoring and alerting, and orchestrate containerized workloads-ensuring high velocity, reliability, and observability in any cloud-native environment.
Applied Learning Project
Learners will be able to build and implement complete DevOps pipelines by integrating tools like Git, Jenkins, Ansible, Terraform, Docker, and Kubernetes. They will automate infrastructure provisioning using Terraform and CloudFormation, configure CI/CD workflows for application deployment, and set up monitoring dashboards using Prometheus and Grafana. Learners will analyze system health, track deployment trends, configure alerts, and ensure performance optimization across environments. Each project serves as a culmination of their learning journey, allowing them to demonstrate their ability to apply the knowledge gained throughout the course.