Advanced DevOps Engineering & Automation Program
Program Overview
- Duration: 6 months (24 weeks) | Hybrid format with live sessions, hands-on labs, and real-world projects | Weekly commitment: 6–8 hours | Includes tool-based training, 10 modules + capstone project reviewed by industry mentors.
- Session: 2 live instructor-led sessions/week + 1 hands-on lab/project session. Includes tool walkthroughs, pipeline demos, team projects & Q&A. ~72 live sessions over 6 months. Supplemented with self-paced videos, assignments & peer collaboration.
- Mode: Online
- Who is this course for:
Engineering students, fresh graduates, IT professionals (0–5 yrs), system admins, testers, or anyone transitioning into DevOps, Cloud, or Automation roles. Ideal for those aiming to build CI/CD, container, or infrastructure skills. - Prerequisites:
Basic knowledge of software or IT infra is preferred. Coding not mandatory, but Linux, Git, or scripting basics are helpful. Ideal for freshers, working pros, or final-year engineering students keen on DevOps, cloud, or automation careers.
Course Details
Master the tools and practices of modern DevOps with i2i Industry’s 6-month DevOps Engineer Program. Designed for aspiring engineers and IT professionals, this hands-on course covers the entire DevOps lifecycle—from version control and CI/CD pipelines to containerization, cloud infrastructure, and monitoring. Learn key tools like Git, Jenkins, Docker, Kubernetes, Terraform, and AWS through live sessions, real-world projects, and expert mentorship. Build end-to-end automation pipelines, manage infrastructure as code, and deploy scalable applications. Whether you're a fresher or a working professional looking to upskill, this program provides the technical depth and practical experience needed to thrive in today’s DevOps-driven organizations. Includes 10 modules, 1 capstone project, and certification. Start your journey into high-demand DevOps roles today.
Curriculum
81 teaching points included in this program.- Definition of DevOps and its Evolution
- DevOps vs Traditional IT Practices
- Core Principles, Values, and DevOps Culture
- The CALMS Framework
- DevOps Lifecycle and Phases
- Key Metrics and Business Benefits
- Overview of DevOps Tools and Ecosystem
- Basic Linux Commands and Navigation
- File Systems, Users, Groups, and Permissions
- Package Management (apt, yum)
- Shell Scripting for Automation
- Managing Services and Processes
- Networking Essentials (SSH, netstat, ping, etc.)
- Scheduled Jobs with cron
- Introduction to Git and Version Control Concepts
- Installing and Configuring Git
- Repository Setup: local and remote
- Basic Git Commands: clone, commit, push, pull, log
- Branching, Merging, and Conflict Resolution
- Git Workflows (Feature Branch, Git Flow)
- Collaborating with GitHub, GitLab, and Bitbucket
- CI/CD Overview and Benefits
- Installing and Configuring Jenkins
- Jenkins Pipelines: Declarative vs Scripted
- Automating Builds, Tests, and Notifications
- Working with GitHub Actions, GitLab CI, CircleCI
- Release Strategies: Blue-Green, Canary
- Rollback and Recovery Techniques
- Understanding Containers vs VMs
- Docker Architecture and CLI Commands
- Creating and Managing Dockerfiles
- Docker Compose and Multi-Container Apps
- Kubernetes Fundamentals and Architecture
- Pods, Deployments, Services, and Namespaces
- ConfigMaps, Secrets, and Volume Management
- Scaling and Health Checks
- Introduction to AWS, Azure, and GCP
- Core Services: EC2, S3, IAM, VPC
- Infrastructure as Code (IaC) Concepts
- Writing Terraform Scripts and Variables
- Managing Infrastructure Lifecycle
- Overview of AWS CloudFormation
- Monitoring Resources and Cost Optimization
- Why Configuration Management Matters
- Ansible: Playbooks, Roles, and Tasks
- Inventory Management and Templates
- Automating Package Installation and Configuration
- Intro to Chef and Puppet
- Comparison of Ansible, Chef, Puppet
- Importance of Monitoring and Observability
- Prometheus for Metrics Collection
- Grafana for Visual Dashboards
- ELK Stack: Elasticsearch, Logstash, Kibana
- Log Aggregation and Centralized Logging
- Nagios for System Monitoring
- Setting Alerts and Thresholds
- DevSecOps Principles and Best Practices
- Securing the CI/CD Pipeline
- Image Security: Trivy, Docker Bench
- Vulnerability Scanning: Aqua, Twistlock
- Managing Secrets with Vault, AWS Secrets Manager
- IAM, RBAC, and Access Policies
- Site Reliability Engineering (SRE) Overview
- Service Level Objectives (SLOs), SLIs, Error Budgets
- Chaos Engineering Principles and Tools
- Blue-Green and Canary Deployments
- Pipeline Optimization and Caching
- Performance Monitoring and Tuning
- Design and Build an End-to-End DevOps Pipeline
- Infrastructure Setup Using Terraform
- CI/CD Pipeline with Jenkins/GitHub Actions
- Containerization with Docker
- Deployment to Kubernetes Cluster
- Monitoring with Prometheus and Grafana
- Logging with ELK Stack
- Security and Documentation
- Revision of Core Concepts
- Hands-on Practice and Troubleshooting
- Case Studies and Real-World Scenarios
- Mock Interviews and Feedback
- Resume Preparation and Job Readiness
Career Assistance
Secure placements in premier companies by mastering the latest in-demand skills, augmented by comprehensive mock interviews, strategic portfolio development, and polished resume crafting.
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