AWSBEGINNER

Developer to DevOps

Master production-grade cloud and DevOps skills with hands-on labs and professional roadmaps.

2learners

What you'll learn

Implement production-grade Cloud architecture
Master Site Reliability Engineering (SRE) patterns
Build automated CI/CD pipelines for Kubernetes
Implement centralized observability & monitoring
Apply security-first (DevSecOps) principles
Optimize cloud costs and platform reliability

Course Description

The Developer to DevOps pathway is built for one specific person: the software developer, frontend, backend, or fullstack who wants to evolve their career into DevOps engineering. You already write code every day. You already understand how applications work from the inside. Now it is time to learn how to ship that code faster, more reliably, and with full ownership of the infrastructure it runs on.

This pathway leverages your existing developer skills as a superpower. While others are learning to code from scratch, you will be applying your programming knowledge to infrastructure automation, pipeline engineering, and cloud architecture from week one. The result is a dramatically shorter path to job-ready DevOps skills and a unique professional profile that most hiring managers actively seek out.

Over 12 weeks, you will transform from someone who hands code over the wall to someone who owns the entire delivery pipeline from git commit all the way to a running, monitored production system. Every module is built around the mindset shift that makes great DevOps engineers: from 'it works on my machine' to 'it runs reliably in production at scale.

Learning Outcomes

By the end of this programme, participants will be able to:

  • Design and implement production-grade CI/CD pipelines using GitHub Actions and Jenkins that automate every stage from commit to deployment

  • Containerize applications of any language and framework using Docker with optimised, production-ready Dockerfiles

  • Deploy and manage containerized workloads on Kubernetes — locally and on AWS EKS — with Helm chart-based deployments

  • Provision cloud infrastructure using Terraform with modular, environment-parameterised configurations

  • Implement GitOps workflows using ArgoCD to deliver continuous deployments driven entirely from Git

  • Apply DevSecOps practices — integrating SAST, SCA, container scanning, and secrets management into every pipeline

  • Instrument applications and infrastructure with Prometheus, Grafana, Loki, and distributed tracing using OpenTelemetry

  • Configure and manage AWS services required for modern application deployment: ECS, EKS, Lambda, RDS, S3, VPC, IAM, Route 53

  • Write Python and Bash automation scripts that solve real operational problems

  • Build a GitHub portfolio of production-grade DevOps projects that demonstrate job-ready skills to employers

  • Speak confidently in DevOps interviews — explaining technical decisions, trade-offs, and architecture choices

Course Curriculum

10 Sections · 7 Lessons
1

The DevOps Mindset & Leveraging Your Developer Skills

2 Lessons
DevOps from a Developer's Lens + The Software Delivery Lifecycle, Reimagined
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Setting Up Your DevOps Workstation
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2

Advanced Git Workflows & GitHub for DevOps Teams

2 Lessons
Advanced Git & Team Workflows
Text
From Repo to Runtime:Team Git · Linux · Networking · Shell Scripting
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3

CI/CD Pipelines: GitHub Actions Deep Dive

3 Lessons
CI/CD with Github Actions
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PROJECT 1 · FOUNDATIONAL: Pipeline Zero — Give Your Own App a Real CI Pipeline
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PROJECT 2 · ADVANCED The Guarded Merge — Team-Grade CI for a Shared Codebase
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4

Docker & Container Engineering for Developers

0 Lessons
5

Kubernetes for Developers Transitioning to DevOps

0 Lessons
6

Infrastructure as Code with Terraform

0 Lessons
7

GitOps with ArgoCD — The Future of Deployment

0 Lessons
8

DevSecOps — Baking Security into Every Stage

0 Lessons
9

Monitoring, Observability & Alerting

0 Lessons
10

Career Launch — Portfolio, Interviews & Landing the Job

0 Lessons

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