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DevOps Engineer

Profile Code: AL-SAS-09

  • 18 LPA (Median Salary)
  • Lecture Duration 2hrs
  • Course Duration 16 Weeks

Skills You Learn: DevOps & CI/CD Pipelines | Cloud Platforms (AWS, Azure, GCP) | Docker & Kubernetes | Infrastructure as Code (Terraform, Ansible) | Linux & System Administration | Monitoring & Observability Tools | Scripting with Python, Bash & YAML | Security, Automation & Site Reliability Engineering (SRE)

₹49,248₹61,560
20% Early Bird Discount
Enroll Now Course Content

Overview Video

DevOps Engineer

About This Course

DevOps Engineer professionals design, implement, and optimize software delivery pipelines and cloud infrastructure to improve application reliability, scalability, and deployment efficiency. They collaborate with development, testing, and operations teams to automate workflows, monitor systems, and ensure continuous integration and continuous delivery (CI/CD). This course develops practical, job-ready capabilities through hands-on projects, industry workflows, collaborative learning, and real-world case studies aligned with current hiring expectations in India. Learners gain expertise in Linux, Git, Docker, Kubernetes, Jenkins, cloud platforms, Infrastructure as Code (IaC), CI/CD pipelines, monitoring, logging, and automation practices. The curriculum includes experience with industry-standard DevOps tools and cloud technologies used by leading organizations. Through live projects and capstone assignments, participants strengthen problem-solving, collaboration, and automation skills, preparing them for DevOps Engineer, Cloud Engineer, Site Reliability Engineer (SRE), and Platform Engineer roles across diverse industries.

Course Content

10 modules · 16 weeks · 2hrs/day
1

Docker Course

The Docker Basics to Advance course provides learners with a strong foundation in containerization for modern software development and DevOps practices. Participants learn Docker architecture, images, containers, Dockerfiles, Docker Compose, volumes, networking, container lifecycle management, image repositories, and deployment fundamentals. Through hands-on projects and real-world applications, the course develops practical skills to package, deploy, and manage applications consistently across development, testing, and production environments.

2

Kubernetes Course

The Kubernetes Basics to Advance course equips learners with the skills to orchestrate and manage containerized applications at scale. Participants explore cluster architecture, pods, deployments, services, namespaces, ConfigMaps, Secrets, ingress controllers, autoscaling, resource management, rolling updates, monitoring, troubleshooting, and security. Through enterprise-grade projects, the course prepares learners to deploy and manage highly available cloud-native applications.

3

Jenkins Course

The Jenkins Basics to Advance course focuses on building automated Continuous Integration and Continuous Deployment (CI/CD) pipelines. Learners master pipeline creation, declarative pipelines, shared libraries, plugin management, automated testing, deployment workflows, credentials management, monitoring, notifications, and pipeline optimization. The course emphasizes practical implementation through real-world DevOps automation projects.

4

Git Course

The Git Basics to Advance course provides comprehensive training in version control and collaborative software development. Participants learn branching strategies, merging, rebasing, conflict resolution, pull requests, repository management, tagging, release management, Git workflows, and CI/CD integration. Through hands-on development projects, the course develops professional collaboration and source code management skills.

5

Terraform Course

The Terraform Basics to Advance course equips learners with Infrastructure as Code (IaC) skills for provisioning and managing cloud infrastructure. Participants explore providers, resources, variables, modules, state management, workspaces, remote backends, lifecycle management, provisioning, security, and infrastructure automation. The course prepares learners to build scalable, repeatable, and maintainable cloud environments using industry best practices.

6

Ansible Course

The Ansible Basics to Advance course focuses on automating infrastructure configuration, application deployment, and system administration. Learners master inventories, playbooks, roles, variables, templates, handlers, modules, automation workflows, security practices, and orchestration techniques. Through project-based learning, the course enables participants to automate repetitive operational tasks and improve infrastructure consistency.

7

AWS Course

The AWS Basics to Advance course provides comprehensive training in deploying and managing cloud infrastructure using Amazon Web Services. Participants learn core AWS services including EC2, VPC, IAM, S3, RDS, Load Balancers, Auto Scaling, CloudWatch, networking, security, and deployment best practices. Through practical cloud projects, the course prepares learners to build secure, scalable, and highly available applications in AWS environments.

8

Prometheus Course

The Prometheus Basics to Advance course teaches learners how to implement monitoring and observability for cloud-native applications. Participants explore metrics collection, PromQL, exporters, service discovery, alerting rules, recording rules, monitoring strategies, performance optimization, and integration with Kubernetes and Grafana. The course develops practical skills for proactive infrastructure monitoring and operational reliability.

9

Grafana Course

The Grafana Basics to Advance course equips learners with the skills to create professional monitoring dashboards and observability solutions. Participants learn data source integration, dashboard creation, visualization panels, variables, alerting, transformations, reporting, user management, and performance optimization. Through hands-on projects, learners build interactive dashboards that provide actionable insights into application and infrastructure performance.

10

GitHub Actions Course

The GitHub Actions Basics to Advance course focuses on automating software development workflows directly within GitHub repositories. Learners master workflow creation, events, jobs, runners, reusable workflows, secrets management, automated testing, CI/CD pipelines, deployment automation, and integration with cloud platforms. Through real-world DevOps projects, the course prepares participants to streamline software delivery, improve collaboration, and implement reliable automation pipelines.

Key Responsibilities

  • Design, implement, and manage CI/CD pipelines for software delivery and deployment
  • Automate infrastructure provisioning, configuration management, and release processes
  • Monitor application performance, system reliability, and cloud infrastructure health
  • Manage containerization, orchestration, and cloud environments to ensure scalability and security
  • Collaborate with development, QA, and operations teams to improve deployment efficiency and system reliability.

Growth Path

DevOps EngineerSenior DevOps EngineerDevOps LeadCloud/Platform Engineering ManagerHead of DevOps & Site Reliability Engineering

Tools Used

DockerKubernetesJenkinsGitTerraformAnsibleAWSPrometheusGrafanaGitHub Actions

Perfect For

Computer Science and Engineering Graduates | Software Developers and System Administrators | Cloud and Infrastructure Professionals | QA and Automation Engineers | DevOps and SRE Aspirants | Individuals Interested in Automation and Scalable Software Delivery

Fee Structure

Fee DetailsAmount
Programme Fee₹61,560
★ Full Payment Gets 20% Early Bird Discount · save ₹12,312
Total Fee (After Discount)₹49,248

Mentor

AL

Analytics Learners

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