Folowise Academy
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Cloud & DevOps Engineering

Learn how teams move code from laptop to production with pipelines, containers, cloud services, and monitoring practices that keep releases calm.

What this track is

About this track

Cloud & DevOps Engineering connects development, infrastructure, release automation, and operations. You practise the delivery flow behind modern software teams: source control, automated builds, deployment environments, containers, and observability.

Who this track is for

01
Aspiring cloud engineers

Learners who want a clear path into cloud operations, deployment, and infrastructure work.

02
Junior developers

Developers who want to understand pipelines, environments, hosting, and production basics.

03
IT support graduates

Support or networking learners ready to move toward automation, Linux, cloud services, and monitoring.

Curriculum

What you will learn

Organised into modules that build on each other. The content is structured, not arbitrary.

Module 1

Cloud and Linux foundations

  • Cloud service models and regions
  • Linux shell, files, permissions, and processes
  • Networking basics for deployed apps
Module 2

Git, CI/CD, and release flow

  • Branching, pull requests, and protected releases
  • Build, test, and deployment pipelines
  • Environment variables, secrets, and release checks
Module 3

Containers and infrastructure habits

  • Docker images, containers, and compose files
  • Deploying services to cloud hosting
  • Infrastructure as code fundamentals
Module 4

Monitoring, reliability, and incident response

  • Logs, metrics, alerts, and dashboards
  • Backup, rollback, and recovery basics
  • Writing simple runbooks for production issues
Tools & tech

Tools you will use

GitHub Actions

Used as part of this track's hands-on toolkit.

Docker

Packages an app and its dependencies into a container that runs the same anywhere.

Linux

Used as part of this track's hands-on toolkit.

Vercel

Hosting platform built for Next.js. Push to Git and it deploys with previews per branch.

AWS

Used as part of this track's hands-on toolkit.

Format

How the learning works

Not self-paced video content. A structured programme with real outputs and structured feedback.

Pipeline-first practice

Every topic ties back to how a change gets built, checked, released, and watched.

Real deployment habits

You work with environments, secrets, logs, and rollback thinking instead of only local demos.

Outcomes

What this prepares you for

Realistic, honest expectations. The track gives you foundation and practice. What you do with it determines what comes next.

  1. A deployed service with a working CI/CD pipeline

  2. Confidence with Linux, GitHub Actions, Docker, and cloud hosting basics

  3. A practical understanding of logs, alerts, rollback, and release safety

FAQ

Cloud & DevOps Engineering: common questions

Track-specific answers: prior knowledge needed, what you build, tools used, and how to get started.

Still have a question not covered here?

Start a conversation

No. The track starts with cloud and Linux foundations, then moves into deployment and automation practice.

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Ready to start the Cloud & DevOps Engineering track?

Contact us to confirm the next intake date and ask any questions before you commit.

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