DevOps & Platform Engineering
Become a job-ready DevOps & Platform Engineer with Linux, Git, CI/CD, Docker, Kubernetes, Terraform, Ansible, monitoring, and AWS cloud. Build real, portfolio-worthy automation and infrastructure projects from pipeline to production. Start free, go job-ready, and launch your career in DevOps.
In short: This DevOps & Platform Engineering program is a 60–65 hour, fully online, job-ready course. You start with 15 hours of free foundations (Linux & shell scripting, Git & GitHub, networking & cloud basics) and continue into a 45–50 hour paid program covering CI/CD with Jenkins and GitHub Actions, Docker, Kubernetes, Terraform and Ansible, monitoring with Prometheus and Grafana, AWS, SRE, and DevSecOps — finishing with a deployed capstone CI/CD platform project, a portfolio, and full interview prep.
The DevOps & Platform Engineering course is designed to help learners master the complete DevOps lifecycle — from code to build to automated deployment and reliable operations — and become immediately employable as DevOps and Platform Engineers.
This course covers Linux and shell scripting, version control with Git, continuous integration and delivery with Jenkins and GitHub Actions, containerization with Docker, container orchestration with Kubernetes, Infrastructure as Code with Terraform and Ansible, configuration management and automation, monitoring and observability with Prometheus, Grafana and the ELK stack, cloud platforms with AWS, Site Reliability Engineering, and DevSecOps security automation. Learners build real, portfolio-worthy automation and infrastructure projects at every stage using hands-on, project-based learning.
By completing this training, participants will be well-prepared for DevOps Engineer, Site Reliability Engineer (SRE), and Platform Engineer roles, with a polished portfolio, a strong resume, and interview readiness.
Course Highlights
- End-to-end DevOps coverage from Linux foundations to production operations
- Hands-on CI/CD pipelines with Jenkins and GitHub Actions
- Containerization with Docker and orchestration with Kubernetes
- Infrastructure as Code with Terraform and Ansible
- Monitoring, observability, AWS cloud, SRE, and DevSecOps
- Job-readiness: portfolio, resume, and interview prep
Learning Outcomes
- Administer Linux systems and automate tasks with shell scripts
- Build automated CI/CD pipelines with Jenkins and GitHub Actions
- Containerize applications with Docker and orchestrate with Kubernetes
- Provision infrastructure with Terraform and Ansible
- Monitor systems with Prometheus, Grafana, and the ELK stack
- Deploy and operate reliable, secure workloads on AWS
Job Opportunities
- DevOps Engineer
- Site Reliability Engineer (SRE)
- Platform Engineer
- Cloud/DevOps Engineer
- Build & Release Engineer
- DevSecOps Engineer
What You'll Build (Portfolio Projects)
- An automated CI/CD pipeline with Jenkins and GitHub Actions
- A containerized multi-service application with Docker
- A Kubernetes deployment with scaling and self-healing
- Terraform-provisioned AWS infrastructure with a monitoring stack
- A deployed end-to-end capstone CI/CD platform
Tools & Skills Covered
- Linux, Git, Jenkins, GitHub Actions
- Docker, Kubernetes, Terraform, Ansible
- Prometheus, Grafana, and AWS
Material Includes
- Class recordings
- Lab guides & project starter code
- Certificate
Who Can Join
- IT Graduates
- Aspiring DevOps & Platform Engineers
- Developers & System Administrators
Related Courses
Free Foundation — 15 Hours
Start learning for free. Build your core Linux, Git, and cloud foundations before advancing to the job-ready DevOps program.
Estimated Time: 4 Hours
Learning Objectives:- Understand the DevOps mindset that gets you hired
- Map the end-to-end software delivery lifecycle
- What DevOps is and why teams adopt it
- The CALMS model, DevOps toolchain, and workflows
- Agile, continuous delivery, and collaboration culture
- Map a real delivery pipeline from commit to production
Estimated Time: 5 Hours
Learning Objectives:- Operate Linux servers with confidence
- Automate routine tasks with shell scripts
- File system, permissions, processes, and packages
- Users, services, systemd, and log management
- Bash scripting, variables, loops, and cron jobs
- Write shell scripts to automate server setup tasks
Estimated Time: 3 Hours
Learning Objectives:- Version code and collaborate like a professional team
- Adopt branching workflows used in real DevOps teams
- Repositories, commits, branches, and merges
- Pull requests, code review, and conflict resolution
- Git branching strategies and GitHub collaboration
- Manage a shared repo with a feature-branch workflow
Estimated Time: 3 Hours
Learning Objectives:- Understand the networking that underpins deployments
- Get comfortable with core cloud building blocks
- TCP/IP, DNS, HTTP/HTTPS, ports, and firewalls
- Load balancing, SSH, and secure remote access
- Cloud regions, compute, storage, and networking basics
- Launch a cloud VM and connect to it securely over SSH
Paid Job-Ready Program — 45–50 Hours
Go from foundations to fully employable. Master CI/CD, Docker, Kubernetes, Terraform, Ansible, monitoring, AWS, SRE, and DevSecOps — everything you need to land your first DevOps job.
Estimated Time: 6 Hours
Learning Objectives:- Automate build, test, and deploy with CI/CD
- Ship code faster and more reliably to production
- Continuous integration and continuous delivery concepts
- Jenkins pipelines, agents, and plugins
- GitHub Actions workflows, runners, and secrets
- Build an automated pipeline that tests and deploys an app
Estimated Time: 5 Hours
Learning Objectives:- Package applications into portable containers
- Run consistent environments from dev to production
- Images, containers, Dockerfiles, and registries
- Volumes, networks, and environment configuration
- Multi-container apps with Docker Compose
- Containerize a multi-service application with Compose
Estimated Time: 7 Hours
Learning Objectives:- Deploy and scale containers with Kubernetes
- Keep applications self-healing and highly available
- Pods, Deployments, Services, and namespaces
- ConfigMaps, Secrets, and scaling strategies
- Ingress, Helm charts, and rolling updates
- Deploy and scale an app on a Kubernetes cluster
Estimated Time: 6 Hours
Learning Objectives:- Provision infrastructure declaratively with code
- Make environments reproducible and version-controlled
- Terraform providers, resources, state, and modules
- Ansible playbooks, roles, and inventories
- Provisioning and configuring cloud infrastructure
- Provision cloud infrastructure with Terraform and Ansible
Estimated Time: 4 Hours
Learning Objectives:- Manage server configuration consistently at scale
- Eliminate manual, error-prone setup work
- Idempotency and desired-state configuration
- Templating, variables, and secrets management
- Automating fleet-wide updates and deployments
- Automate configuration of a multi-server environment
Estimated Time: 5 Hours
Learning Objectives:- Gain full visibility into systems and applications
- Detect and resolve incidents before users notice
- Metrics collection and alerting with Prometheus
- Dashboards and visualization with Grafana
- Centralized logging with the ELK stack
- Build a monitoring stack with metrics, dashboards, and alerts
Estimated Time: 5 Hours
Learning Objectives:- Deploy and operate workloads on AWS
- Use core AWS services in real DevOps workflows
- EC2, VPC, IAM, S3, and security groups
- Managed containers with ECS and EKS
- Auto scaling, load balancing, and cost awareness
- Deploy a containerized app on AWS with autoscaling
Estimated Time: 4 Hours
Learning Objectives:- Apply SRE practices to keep services reliable
- Build internal platforms that empower developers
- SLIs, SLOs, error budgets, and incident response
- Toil reduction, on-call, and postmortems
- Platform engineering and self-service developer tooling
- Define SLOs and alerting for a running service
Estimated Time: 3 Hours
Learning Objectives:- Shift security left into the delivery pipeline
- Automate security checks and compliance
- Secrets management and least-privilege access
- Vulnerability, container, and dependency scanning
- Security gates and policy as code in CI/CD
- Add automated security scanning to a CI/CD pipeline
Estimated Time: 3 Hours
Learning Objectives:- Ship a complete, portfolio-ready DevOps platform
- Prepare for the DevOps job search
- End-to-end capstone CI/CD platform planning and build
- Portfolio, GitHub, and resume optimization
- DevOps interview, scenario, and troubleshooting prep
- Build and deploy an end-to-end capstone CI/CD platform
- Mock interviews and resume review