Certified DevOps Engineer
Duration: 3 Months | Mode: Online/Classroom | Certification: DevOps Engineer (Industry-Recognized)
Our DevOps Engineering Certification is a hands-on, industry-aligned program designed to transform participants into job-ready DevOps professionals. The course covers infrastructure automation, CI/CD pipelines, cloud administration, containerization, and monitoring tools—ensuring mastery of both concepts and real-world tools used by top tech companies
- Module 01: DevOps Principles
- Module 02: Cloud Administration (Azure & AWS)
- Module 03: Source Control Using Git
- Module 04: Linux Administration
Module 05: CI/CD pipeline in GitLab - Module 06: Bicep
- Module 07: Terraform
- Module 08: Ansible
- Module 09: Bash Scripting
- Module 10: Working with Docker
- Module 11: Working with Kubernetes
- Module 12: Explore Prometheus and Grafana
- Module 13: Azure DevOps
Module 1: DevOps Principles
- Key Concepts: CI/CD, IaC (Infrastructure as Code), Agile-DevOps synergy.
- Cultural Shift: Collaboration between Dev, Ops, and QA teams.
- Tools Overview: Git, Docker, Kubernetes, Terraform, Ansible.
Module 2: Cloud Administration (Azure & AWS)
- Multi-Cloud Fundamentals: Compute, Storage, Networking, IAM.
- Hands-on Labs:
- AWS: EC2, S3, VPC, Lambda.
- Azure: Virtual Machines, Blob Storage, ARM Templates.
- Cost Optimization & Security Best Practices.
Module 3: Source Control with Git
- Git Workflows: Feature Branch, GitFlow, Forking.
- Advanced Git: Rebasing, Stashing, Resolving Merge Conflicts.
- GitHub/GitLab: PRs, Code Reviews, Git Hooks.
Module 4: Linux Administration
- Essential Commands: File Systems, Permissions, Process Management.
- Shell Scripting: Automating SysAdmin Tasks.
- Networking: SSH, Firewalls (iptables), Cron Jobs.
Module 5: CI/CD Pipeline in GitLab
- Pipeline Design: Stages, Jobs, Artifacts.
- Auto-Deployments: Kubernetes, Cloud Run.
- Integrations: Slack, Jira, SonarQube.
Module 6: Bicep (Azure IaC)
- Bicep vs ARM Templates: Simplified Syntax.
- Deploying Azure Resources: Web Apps, SQL DB, AKS.
- Modular Templates: Reusable Components.
Module 7: Terraform (Multi-Cloud IaC)
- Terraform Basics: Providers, State Management.
- AWS/Azure/GCP Deployments.
- Workspaces, Modules, Terraform Cloud.
Module 8: Ansible (Configuration Management)
- Playbooks: YAML Syntax, Roles, Handlers.
- Automating: Server Provisioning, App Deployments.
- Ansible Tower/AWX.
Module 9: Bash Scripting
- Scripting Basics: Variables, Loops, Conditionals.
- Real-World Use Cases: Log Analysis, Backup Automation.
Module 10: Docker (Containerization)
- Containers vs VMs.
- Dockerfiles, Volumes, Networking.
- Docker Compose: Multi-Container Apps.
Module 11: Kubernetes (Orchestration)
- K8s Architecture: Pods, Deployments, Services.
- Helm Charts, Ingress, Auto-Scaling.
- Managed K8s: EKS, AKS, GKE.
Module 12: Monitoring with Prometheus & Grafana
- Prometheus: Metrics, AlertManager.
- Grafana Dashboards: Visualization, Alerts.
- Logging: ELK Stack Basics.
Module 13: Azure DevOps (End-to-End Toolchain)
- Boards: Agile Project Management.
- Repos, Pipelines, Test Plans.
- Artifacts, Release Gates.
Key Features of the Program
- 60% Hands-on Labs (Real AWS/Azure Credits Provided).
- Capstone Project: Build a fully automated CI/CD pipeline from code commit to production.
- Industry-Aligned: Covers AWS, Azure, GitLab, Kubernetes—tools demanded by employers.
- Placement Support: Resume prep, mock interviews, and job referrals
Who Should Enroll?
- School leavers
- IT Professionals transitioning to DevOps.
- Developers aiming to learn CI/CD & cloud.
- Sys Admins seeking automation skills.
Features
- DevOps Principles: In-depth coverage of collaboration, automation, and continuous improvement in software development and operations.
- Cloud Administration (Azure & AWS): Practical skills development in managing cloud resources, infrastructure, and services in Azure and AWS.
- Source Control Using Git: Thorough exploration of version control, branching strategies, and collaborative development workflows using Git.
- Automation Tools and Infrastructure as Code: Hands-on experience with Ansible, Terraform, and Bicep for efficient infrastructure provisioning and management.
- Containerization and Orchestration: Practical skills development in Docker and Kubernetes, covering containerization, orchestration, and cluster management.
- CI/CD Pipelines and Monitoring: Design and implementation of CI/CD pipelines using GitLab, and exploration of monitoring using Prometheus and Grafana.
- Collaboration Platforms: Exploration of version control, build pipelines, and release management using Azure DevOps.
- Hands-On Labs and Simulations: Practical exercises and real-world simulations to reinforce practical skills in DevOps scenarios.
- Industry-Relevant Training: Aligned with current DevOps practices and cloud technologies, ensuring skills directly applicable to real-world DevOps engineering and cloud administration roles.
Target audiences
- IT Professionals: This course is ideal for IT professionals, including system administrators, software developers, and network engineers, seeking to enhance their expertise in DevOps practices, cloud administration, and automation.
- DevOps Engineers: Individuals currently working in DevOps roles or aspiring to transition into DevOps engineering, aiming to deepen their knowledge of DevOps principles, cloud technologies, and automation tools.
- Cloud Administrators: Professionals involved in cloud administration and infrastructure management, looking to expand their skills in cloud platforms such as Azure and AWS, and gain proficiency in DevOps practices.
- Software Developers: Individuals involved in software development, interested in learning about source control, CI/CD pipelines, containerization, and orchestration to optimize software delivery and deployment processes.
- System Administrators: Those responsible for system administration and Linux operations, seeking to acquire skills in automation, scripting, and infrastructure as code (IaC) using tools such as Ansible, Terraform, and Bicep.
- Technology Enthusiasts: Individuals with a keen interest in DevOps, cloud technologies, and automation, looking to develop practical skills in modern software development and operations practices.
Requirements
- Foundational IT Knowledge: Participants should have a foundational understanding of IT concepts, including operating systems, computer networks, and basic programming principles.
- Basic Cloud Knowledge: Familiarity with cloud computing concepts and services, such as virtual machines, cloud storage, and networking, is recommended.
- Computer Literacy: Fundamental knowledge of computer systems, software, and command-line operations is essential for effective engagement with the course materials.
- Access to Learning Resources: Participants should have access to a personal computer, laptop, or a device with internet access for accessing course content, completing practical exercises, and participating in virtual labs.
- Commitment to Learning: A willingness to actively engage with hands-on activities, complete assignments, and explore new tools and technologies in the field of DevOps engineering.
