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Containerize, Automate, and Scale Modern Cloud Infrastructure for Zero-Downtime Reliability.
Every web application, AI system, and enterprise service relies on automated, resilient cloud infrastructure. DevOps and Cloud Engineers command some of the highest salaries in tech because they keep applications running 24/7/365.
This 90-day hands-on bootcamp covers the complete DevOps lifecycle: starting with Linux administration and Bash scripting, mastering AWS core cloud architecture (VPC, EC2, S3, RDS, IAM, ALB), containerizing microservices with Docker, orchestrating container clusters with Kubernetes (EKS), managing Infrastructure as Code with Terraform, and configuring automated CI/CD pipelines with GitHub Actions.
The course finishes with deploying a highly available, monitored Kubernetes microservices infrastructure with automated failover.
Navigate and administer Linux server environments and automate tasks with Bash scripts
Architect secure, multi-tier cloud networking environments on AWS with custom VPCs and subnets
Create lightweight, multi-stage Docker container images for microservice applications
Deploy, autoscale, and manage container clusters using Kubernetes pods, deployments, and services
Automate multi-cloud infrastructure provisioning declaratively using Terraform scripts
Build end-to-end CI/CD pipelines that automatically build, test, and deploy code on every push
Our industry-aligned syllabus is partitioned into 4 high-impact milestones, taking you systematically from core concepts to enterprise deployment.
Master Linux terminal commands, permissions, networking fundamentals, and shell scripting.
You will build, test, and deploy production-grade software applications to create a verifiable GitHub portfolio that proves your capabilities to hiring managers.
Automated AWS EKS cloud platform with Terraform, GitHub Actions & Prometheus monitoring.
An enterprise-grade cloud infrastructure capstone. Provisions a highly available multi-AZ Amazon VPC using Terraform, establishes an Amazon EKS (Elastic Kubernetes Service) cluster, sets up a GitHub Actions CI/CD pipeline that automatically tests and containerizes code on every push, deploys microservices via Helm with horizontal pod autoscaling (HPA), and configures Prometheus and Grafana for real-time cluster telemetry.
Demonstrates comprehensive cloud and DevOps engineering capability across Infrastructure as Code, container orchestration, CI/CD automation, and production observability.
Everything you need to know about the Cloud Computing & DevOps Engineering Bootcamp program, mentorship, and credentials.
No. All hands-on exercises are designed to run within the AWS Free Tier, supplemented by local development tools like Docker and Minikube to keep your cloud costs near zero.