About This Course
DevOps is the transformative approach that unifies software development and IT operations to accelerate software delivery, improve reliability, and enable continuous innovation. Companies like Netflix, Amazon, Google, and thousands of enterprises have adopted DevOps practices to deploy software hundreds of times per day — a feat unimaginable with traditional waterfall approaches.
This DevOps with AWS & Azure course covers the full spectrum of modern DevOps practices and cloud platforms. You'll master containerization with Docker, orchestration with Kubernetes, infrastructure as code with Terraform, CI/CD pipelines with Jenkins and GitHub Actions, and cloud services on both AWS and Azure — the two dominant cloud platforms in the industry.
DevOps engineers are among the highest-paid technology professionals. The combination of software development skills, operations expertise, and cloud platform knowledge makes DevOps practitioners exceptionally valuable to any organization undergoing digital transformation. This course gives you the breadth of skills to enter this lucrative field.
Our training is entirely hands-on. You'll build real CI/CD pipelines, containerize applications, deploy to the cloud, and automate infrastructure — giving you portfolio-ready projects that demonstrate real DevOps capability to employers.
Course Syllabus – 10 Modules (35–40 hours)
Our structured curriculum is designed to take you from foundational concepts to advanced, practical application. Each module builds on the previous one, ensuring comprehensive understanding and skill development.
DevOps Fundamentals & Culture
DevOps philosophy: why it exists, CALMS framework (Culture, Automation, Lean, Measurement, Sharing). Software delivery lifecycle, Waterfall vs Agile vs DevOps, DevOps roles and responsibilities, DevOps toolchain overview. Key metrics: DORA metrics (deployment frequency, lead time, MTTR, change failure rate).
Linux & Shell Scripting for DevOps
Essential Linux commands for DevOps engineers, file system navigation, process management, networking commands. Bash scripting: variables, conditionals, loops, functions, cron jobs. Shell scripts for automation: log rotation, backup scripts, deployment scripts. SSH, scp, rsync for server management.
Version Control with Git & GitHub
Git fundamentals: init, clone, add, commit, push, pull. Branching strategies: Git Flow, GitHub Flow, trunk-based development. Pull requests, code reviews, merge conflicts, tagging releases. GitHub Actions workflow: triggers, jobs, steps. Collaborating on open-source repositories.
Docker & Containerization
Container concepts vs VMs, Docker architecture: daemon, client, registry. Writing Dockerfiles, building images, running containers, port mapping, volumes, networks. Docker Compose for multi-container applications. Docker Hub, container registries, image optimization, and security scanning.
Kubernetes (K8s) Orchestration
Kubernetes architecture: control plane, worker nodes, etcd. Core resources: Pods, Deployments, Services, ConfigMaps, Secrets, Namespaces. Rolling updates and rollbacks, horizontal pod autoscaling, resource limits. Helm charts for package management. kubectl CLI. Deploying a microservices application on K8s.
CI/CD Pipelines with Jenkins & GitHub Actions
Jenkins: installation, plugins, Freestyle vs Pipeline jobs, Jenkinsfile (declarative syntax), shared libraries. GitHub Actions: workflows, actions marketplace, building Docker images in CI, running tests. Designing a complete CI/CD pipeline: code commit → build → test → deploy. Notifications and pipeline monitoring.
AWS Cloud Services for DevOps
AWS core services: EC2, S3, VPC, IAM, RDS, Lambda. AWS DevOps services: CodeCommit, CodeBuild, CodeDeploy, CodePipeline (AWS native CI/CD). ECS and EKS for container management, ECR for container registry. AWS CloudWatch for monitoring, CloudTrail for auditing. Auto Scaling Groups, Load Balancers.
Azure Cloud Services for DevOps
Azure fundamentals: VMs, Azure Blob Storage, Azure VNet, Azure AD, Azure SQL. Azure DevOps: Boards, Repos, Pipelines, Artifacts, Test Plans — the complete Azure DevOps platform. Azure Container Registry (ACR), Azure Kubernetes Service (AKS), Azure Monitor, Application Insights, and Azure Functions.
Infrastructure as Code with Terraform
IaC concepts and benefits, Terraform architecture: providers, resources, state, modules. Writing Terraform configurations for AWS and Azure: VPCs, EC2 instances, security groups, S3 buckets, Azure VMs. Terraform state management, workspaces, remote backends, and Terraform Cloud. Ansible basics for configuration management.
Monitoring, Logging & SRE Practices
Observability: metrics, logs, and traces (the three pillars). Prometheus and Grafana for metrics collection and dashboards. ELK Stack (Elasticsearch, Logstash, Kibana) for centralized logging. Application tracing with Jaeger/Zipkin basics. SRE concepts: SLIs, SLOs, SLAs, error budgets, on-call practices, postmortem culture.
Career Opportunities After This Course
Upon completing this course, you'll be equipped for a range of rewarding career paths:
- Job Roles: DevOps Engineer, Cloud Engineer, Site Reliability Engineer (SRE), Platform Engineer, Infrastructure Engineer
- Salary Range: ₹5–10 LPA (entry) to ₹20–45 LPA (Senior DevOps/Cloud Architect)
- Industries: IT, manufacturing, banking, healthcare, consulting, government, and more
- Work Options: Full-time employment, consulting, freelancing, remote work
Tools & Technologies Covered
You'll gain hands-on experience with the industry-standard tools that professionals use every day:
Who Should Take This Course?
- Students and fresh graduates looking to build industry-relevant skills
- Working professionals seeking to upskill or change career direction
- Entrepreneurs and business owners wanting to leverage technology
- IT professionals expanding their skill portfolio
- Anyone with a genuine interest in this field and commitment to learning
Training Methodology
Our training is 100% practical and project-based. Each module includes concept explanation, live demonstrations, hands-on exercises, mini-projects, and doubt-clearing sessions. Sessions are available on weekdays (2 hrs/day) and weekends (4 hrs/day), with recordings available for 3 months.
Frequently Asked Questions
Do I need prior experience?
No prior experience is required for beginner-level courses. We start from the absolute basics and build progressively. Students with existing knowledge will benefit from the advanced modules.
What are the batch timings?
We offer weekday batches (Mon–Fri, 2 hours/day) and weekend batches (Sat–Sun, 4 hours/day). Online and hybrid options are available. Contact us for the current batch schedule.
Will I receive a certificate?
Yes, upon successful completion of all modules and the final project assessment, you'll receive an industry-recognized certificate from Optimetrik Digital.
Is placement support available?
Yes, we provide resume building, mock interviews, LinkedIn optimization, and job referrals for top-performing students through our hiring partner network.
Are classes online or offline?
Both options available. Live online sessions via video conferencing and in-person at our Coimbatore center. All sessions are recorded and accessible for 3 months.
