Master AWS cloud architecture, Docker containerization, Kubernetes orchestration, Terraform IaC, and CI/CD pipelines.
Develop a complete tripartite engineering profile combining deep technical execution, rigorous analytical problem solving, and professional industry collaboration.
Foundational syntax, runtime mechanisms, and domain architectures.
Algorithmic reasoning, performance profiling, and defensive error mitigation.
Version control workflows, code review literacy, and industry documentation.
Master the exact production technologies, runtimes, development frameworks, and deployment platforms demanded by modern engineering teams.
Industry-leading cloud platform offering compute (EC2), storage (S3), and networking.
Containerization engine for standardizing software dependencies across development and production.
Container orchestration platform managing deployment scaling, self-healing, and service discovery.
Infrastructure as Code language for declaring and provisioning cloud topology programmatically.
Automated CI/CD workflows triggered on repository events and code pushes.
Bash scripting, systemd service management, SSH keys, and network firewalls.
The engineering skills developed in Cloud Computing & DevOps Engineering power critical digital infrastructure across diverse high-impact sectors worldwide.
Provision compute instances, virtual private networks, load balancers, and distributed object storage.
Package applications into lightweight, reproducible Docker containers and orchestrate clusters with Kubernetes.
Automate testing, linting, security scans, and production deployments on every Git pull request.
Track server telemetry, error rates, CPU bottlenecks, and uptime SLAs using Prometheus and Grafana.
Experience how every lesson, coding exercise, and tool in this course connects directly to high-impact engineering job roles. Hover or tap any stage to inspect connections.
Foundational curriculum & interactive coding challenges
Applied technical competencies & problem solving
Industry-standard frameworks, IDEs & runtimes
Mission-critical enterprise & cloud infrastructures
High-demand software engineering job titles
Explore the real-world software engineering positions directly powered by Cloud Computing & DevOps Engineering expertise. Review day-to-day responsibilities and core hiring prerequisites.
Prove your mastery through production-ready software artifacts. Every project in Cloud Computing & DevOps Engineering is designed to solve real-world problems and stand out on your engineering resume.
Package a complete microservice stack including frontend, backend API, relational database, and caching layer into a one-command reproducible environment.
Construct an automated pipeline that executes unit tests, lints code, builds a slim Docker container, and deploys to a live cloud server upon merging into main branch.
Write declarative code to provision an entire multi-AZ virtual private cloud network, public/private subnets, security firewalls, and load-balanced server fleet.
A carefully sequenced 6-stage engineering curriculum designed to build your knowledge incrementally from core fundamentals to interview-ready production mastery.
Linux Server Administration and Shell Scripting
Docker Containers and Multi-Stage Builds
Amazon Web Services (AWS) Core Platforms
Continuous Integration & Continuous Delivery (CI/CD)
Kubernetes Pods, Services, and Scaling
Infrastructure as Code (Terraform) & SRE Observability
Complete this learning path to earn your First Move (11~18) certificate.
Kubernetes cluster deployment assessment environment is currently in development.
Guided 3-tier progression taking learners from fundamental concepts to core practical engineering and production mastery.
Learn absolute fundamentals, core syntax, environment setup, and fundamental logic blocks.
Master Cloud Service Models (IaaS, PaaS, SaaS), AWS EC2 / S3 / VPC, Docker image layers, and multi-stage Dockerfiles.
Solve realistic problems, master data structures, error handling, design patterns, and mini-projects.
Orchestrate multi-container applications with Docker Compose, and master Kubernetes Objects (Pods, Deployments, Services, Ingress, HPA).
Apply knowledge to real software architecture, security, optimization, scale, and portfolio capstones.
Provision cloud infrastructure declaratively using HashiCorp Terraform HCL, and monitor cluster health with Prometheus metrics & Grafana dashboards.
Build a containerized application stack with Node.js backend, PostgreSQL database, Redis cache, and Nginx reverse proxy.
Open Project Blueprint & Starter Code →Deploy a resilient cloud application on Kubernetes using Declarative Manifests, Helm Charts, and Ingress Controller.
Open Project Blueprint & Starter Code →