Cloud Computing & DevOps
A master programme covering three cloud platforms and the DevOps toolchain that runs on them. Learners begin with Linux administration, networking and Git, then work through AWS, Azure and Google Cloud Platform, containers and Kubernetes, infrastructure as code with Terraform, Cl/CD with Jenkins, DevSecOps, monitoring, configuration management, cloud security and multi-cloud architecture.
Module 12 is delivered in its expanded twelve-session form; the session-by-session breakdown is set out in the appendix to this handout. The programme closes with 50 hours of industry projects.
- System and network administrators moving to cloud
- Developers taking on deployment and pipeline work
- Support engineers targeting DevOps roles
- Graduates with networking and Linux fundamentals
Programme sheet
The printed sheet carries the full module breakdown, labs, project work and certification path. Fees, dates and formats for the next intake are confirmed by the education team on enquiry.
Learning outcomes
Module structure
29 modules in two partsPart 1
Introduction to Cloud Computing
Linux Administration for Cloud
Networking for Cloud Engineers
Git & GitHub
Amazon Web Services (AWS)
Microsoft Azure
Google Cloud Platform (GCP)
Docker
Kubernetes
Infrastructure as Code (Terraform)
Jenkins & CI/CD
DevSecOps
Monitoring & Logging
Automation & Configuration Management
Cloud Security & Governance
Multi-Cloud & Hybrid Cloud
Capstone Projects
Part 2
Introduction to DevSecOps
Secure Software Development Life Cycle (secure SDLC)
Vulnerability Assessment & Risk Management
Secrets Management
Dependency & Software
Static Application Security Testing (sast)
Dynamic Application Security Testing (dast)
Container Security
Kubernetes Security
Cloud Security Best Practices
Compliance & Governance
DevSecOps CI/CD Integration
Assessment & certification
Learners who complete all modules, submit the capstone project and clear the final review receive a course completion certificate from Kaizen Infinities Private Limited. Project work is documented for the learner's portfolio and GitHub profile, and interview preparation is included in the final week.