- DevOps lifecycle
- Waterfall vs Agile, Agile and Scrum basics
- Monitoring concepts
- Prompting for DevOps, verifying AI output
Linux, cloud, CI/CD, containers and infrastructure as code, with AI tools used in every module.
· Fundamentals → Linux/Bash → AWS/CI/CD → Docker/K8s → Terraform/Ansible → Monitoring
Who it's for: Learners seeking to become DevOps Engineers or Cloud Engineers through real-world projects and AI tools.
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Practical skills
Learning outcomes
Four hands-on projects including website deployment, CI/CD pipelines, Kubernetes orchestration, and AWS infrastructure as code.
What sets this course apart
Integrates AI tooling (generate, debug, explain) into every step of the DevOps lifecycle with 4 real-world projects and daily hands-on practice.
Real mentors. Live enterprise work. A path into SAP, Power BI, and Power Platform roles—not another certificate on the shelf.