Course Features
DevOps Engineer — Master’s Course
Master end-to-end DevOps: SDLC, Agile & Waterfall; Git/GitHub; Linux shell & PowerShell; Python for DevOps; CI/CD with Jenkins (pipelines as code), Maven & Gradle; Docker & Kubernetes; config management with Ansible & Chef; monitoring & logging (Nagios, CloudWatch); AWS (EC2, ELB/ALB, IAM, S3, Autoscaling, CloudFormation, Redshift); web servers (Apache Tomcat); DBs (SQL Server, MySQL); Jira; DevSecOps best practices; plus a real capstone. Includes 1:1 mentorship & mock interviews.
Become a job-ready DevOps Engineer. Bridge development and operations to deliver software faster, safer, and more reliably with automation, CI/CD, containers, cloud, and observability.
- Ways of working: SDLC phases, Agile in DevOps, and Waterfall vs Agile
- Version control: Git essentials, branching/merging, GitHub collaboration & PRs
- Scripting: Linux shell & PowerShell, Python for automation
- CI/CD: Jenkins (setup, pipelines as code), Maven & Gradle build automation
- Containers & orchestration: Docker (images/compose) and Kubernetes (deployments, services, networking, stateful apps)
- Config management: Ansible (playbooks, Vault) & Chef (recipes, environments, data bags)
- Monitoring & logging: Nagios and AWS CloudWatch
- AWS: EC2, ELB/ALB, IAM, S3 (incl. lifecycle, CRR), Autoscaling, CloudFormation, Redshift
- Platforms & tools: Apache Tomcat, SQL Server & MySQL, Jira, JUnit
- Security & best practices: secure DevOps tooling and implementation patterns
Finish with a capstone that sets up CI/CD, container orchestration, AWS infra, monitoring, and secure practices for a production-like workload.