DevOps & Cloud Engineering

DevOps is more than memorising tools

Knowing individual Docker, AWS, or Kubernetes commands is not enough. A DevOps engineer must understand how operating systems, networks, cloud infrastructure, deployment pipelines, security, and monitoring work together.

This cohort takes you through that complete journey, beginning with Linux fundamentals and ending with a production cloud architecture you can explain and defend.

What you will learn to do

By the end of the cohort, you should be better equipped to:

• Operate and troubleshoot Linux systems confidently
• Automate repetitive operational work with Bash and Python
• Understand essential AWS services and cloud-cost hygiene
• Package applications using production-minded Docker practices
• Build CI/CD pipelines with GitHub Actions and Jenkins
• Configure infrastructure using Ansible and Terraform
• Deploy and troubleshoot workloads on Kubernetes and AWS
• Implement GitOps workflows, monitoring, dashboards, and alerts
• Think clearly about security, networking, availability, and recovery
• Present a production architecture through a portfolio capstone

How you will learn

Your 16-week learning path

Projects you will build

Your portfolio will include practical operator projects such as:

• HostPulse: Linux health monitoring and alerts

• OpsKit: Python automation CLI

• CloudSweep: AWS idle-resource and cost report

• ShipBox: Production-minded containerised application

• PipeLine: Automated CI/CD workflow

• FleetForm: Repeatable Ansible server bootstrap

• Terraform Infrastructure: Reviewable AWS network and compute baseline

• MeshMart: Kubernetes microservices deployment

• GitForge: GitOps-based continuous delivery

• SignalBoard: Monitoring dashboard and alerting

• Final Capstone: Production cloud architecture

Each project should live in a well-documented repository that explains the problem, architecture, setup, decisions, and limitations.

Is this cohort right for you?

This course is designed for:

• College students exploring DevOps and cloud engineering
• Developers who want to understand deployment and infrastructure
• System administrators moving toward automation and cloud
• Early professionals preparing for junior DevOps, cloud, platform, or SRE-oriented roles
• Learners who know basic programming but have no prior DevOps experience

Prerequisites

You should be comfortable with basic programming. Python is preferred, but previous AWS, Docker, or Kubernetes experience is not required.

You will need:

• A laptop capable of running a Linux VM, or access to a cloud instance
• A stable internet connection
• Willingness to work regularly in the terminal
• Time to complete practical work between live sessions

This course may not be suitable if you want only theoretical lectures, a tool-by-tool overview, or a certificate without completing the projects.

Frequently asked questions

• Do I need prior DevOps experience?+

  No. The course starts with Linux and scripting foundations before progressing to AWS, containers, CI/CD, infrastructure as code, and Kubernetes.

• Do I need an AWS account?+

  Some cloud exercises may require access to AWS. We share cost-control guidance before learners create resources, and you should expect modest cloud usage charges for hands-on work.

• Is this course completely practical?+

  The course combines essential concepts with live exercises, troubleshooting, portfolio projects, and a final architecture capstone.

• Will I receive a certificate?+

  The central outcome is a portfolio of documented operator projects and a capstone you can explain. A vendor certificate is not the main value.

• Does the course guarantee a DevOps job?+

  No. The course is designed to build practical foundations, portfolio evidence, and stronger interview readiness.