Cloud DevSecOps.
Build your next skill.

Format: 35 training days, live online. Foundation-to-project coverage with guided practice. Exact pace and batch schedule are agreed with the trainer.

Prerequisites: Basic Linux, networking, Git and one programming language. One cloud platform is selected for the batch.

Days 1-5 | Cloud and Linux foundations

• Linux shell, permissions, networking and Git workflow
• Cloud compute, networking, IAM and shared responsibility
• Least privilege, billing alerts and safe lab cleanup

Days 6-10 | Infrastructure as code

• Terraform providers, resources, variables and outputs
• Plan/apply workflow, state protection and reusable modules
• Provision a small cloud environment and review configuration changes

Days 11-15 | Containers

• Dockerfiles, images, registries, volumes and networking
• Multi-stage builds, non-root execution and image scanning
• Containerize and test a small application

Days 16-20 | Kubernetes

• Pods, Deployments, Services, ingress and configuration
• Readiness/liveness probes, resources, scaling and troubleshooting
• RBAC, network policies and secret-handling principles

Days 21-25 | Secure CI/CD

• Build/test/deploy pipelines with GitHub Actions or equivalent
• Secret scanning, dependency checks, SAST and image/IaC scanning
• Artifact integrity, approval gates and rollback practice

Days 26-30 | Operations and cloud security

• Logs, metrics, alerts and incident runbooks
• Cloud audit logs, IAM review and vulnerability remediation
• Backup/recovery basics, configuration drift and cost awareness

Days 31-35 | Capstone and interview practice

• Provision infrastructure and deploy a container app through a security-gated pipeline
• Demonstrate a failed security check, recovery and rollback
• Architecture review, troubleshooting exercises and mock interview

Training and interview preparation

• Live online training with guided exercises and project discussion.
• Interview preparation, technical questions and mock interview practice.
• Live demo video available. Ask the team to arrange the demo and confirm the batch details.

This is a practical learning plan, not a promise of certification, a job or production-level expertise in 35 days. Cloud labs or model APIs may have usage costs; confirm lab access with the trainer before starting.