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Site Reliability Engineer (SRE)

Profile Code: AL-SAS-12

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

Skills You Learn: Site Reliability Engineering (SRE) Principles | Monitoring & Observability Tools | Incident Management & Root Cause Analysis | Cloud Platforms (AWS, Azure, GCP) | Kubernetes & Container Orchestration | Automation & Infrastructure as Code | Linux, Networking & System Administration | DevOps, CI/CD & Performance Engineering

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

Overview Video

Site Reliability Engineer (SRE)

About This Course

Site Reliability Engineer (SRE) professionals design, implement, and optimize reliable, scalable, and secure technology solutions that ensure high system availability and performance. They collaborate with development, operations, and cloud teams to automate infrastructure, monitor applications, manage incidents, and improve system resilience using engineering best practices. 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, cloud platforms, Kubernetes, Docker, CI/CD pipelines, infrastructure automation, monitoring, logging, incident management, and performance optimization. The curriculum includes practical experience with industry-standard tools such as Prometheus, Grafana, Terraform, Jenkins, and Git. Through live projects and capstone assignments, participants build automation, troubleshooting, collaboration, and reliability engineering skills, preparing them for Site Reliability Engineer, DevOps Engineer, Cloud Engineer, Platform Engineer, and Infrastructure Engineer roles across diverse industries.

Course Content

9 modules · 16 weeks · 2hrs/day
1

Prometheus Course

The Prometheus Basics to Advance course provides learners with a strong foundation in monitoring cloud-native applications and infrastructure using Prometheus. Participants learn Prometheus architecture, metrics collection, exporters, time-series databases, PromQL fundamentals, service discovery, alerting rules, monitoring targets, and dashboard integration. Through hands-on projects and real-world production environments, the course develops practical skills to monitor application health, infrastructure performance, and system reliability for modern DevOps and Site Reliability Engineering (SRE) practices.

2

Grafana Course

The Grafana Basics to Advance course equips learners with the skills to create interactive monitoring dashboards and observability solutions. Participants explore data source integration, dashboard design, visualization panels, variables, alerting, annotations, transformations, reporting, user management, and performance optimization. Through practical monitoring projects, the course prepares learners to visualize infrastructure metrics, application performance, and operational KPIs for proactive incident management.

3

Kubernetes Course

The Kubernetes Basics to Advance course focuses on deploying, managing, and scaling containerized applications in production environments. Learners master cluster architecture, pods, deployments, services, namespaces, ConfigMaps, Secrets, ingress controllers, autoscaling, resource management, monitoring, security, troubleshooting, and high availability. The course emphasizes enterprise-grade container orchestration through hands-on implementation and real-world DevOps scenarios.

4

Docker Course

The Docker Basics to Advance course provides comprehensive training in containerizing applications for consistent development and deployment. Participants learn Docker images, containers, Dockerfiles, Docker Compose, networking, storage volumes, environment management, optimization, security best practices, and production deployment strategies. Through project-based learning, the course develops the skills required to build portable, scalable, and reliable containerized applications.

5

Terraform Course

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

6

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, plugins, build automation, testing integration, deployment workflows, credentials management, monitoring, and pipeline optimization. Through hands-on DevOps projects, the course prepares participants to automate software delivery and improve deployment reliability.

7

Git Course

The Git Basics to Advance course develops professional version control and collaboration skills for DevOps and Site Reliability Engineering teams. Participants learn branching strategies, merging, rebasing, conflict resolution, pull requests, repository management, release management, Git workflows, and CI/CD integration. The course emphasizes collaborative development practices that support reliable software delivery and infrastructure management.

8

ELK Stack Course

The ELK Stack Basics to Advance course teaches learners how to implement centralized logging and log analytics using Elasticsearch, Logstash, and Kibana. Participants learn log collection, parsing, indexing, visualization, search optimization, dashboard creation, alerting, monitoring, troubleshooting, and performance tuning. Through practical implementation projects, the course prepares learners to monitor application logs, investigate incidents, and improve operational visibility across distributed systems.

9

PagerDuty Course

The PagerDuty Basics to Advance course provides comprehensive training in incident management and on-call operations for Site Reliability Engineering teams. Participants learn alert routing, escalation policies, incident response workflows, service integrations, event intelligence, automation, scheduling, reporting, post-incident analysis, and operational best practices. Through real-world SRE scenarios, the course develops the skills required to manage critical incidents efficiently, minimize downtime, and maintain high service availability.

Key Responsibilities

  • Design and maintain highly reliable, scalable, and fault-tolerant systems for SaaS applications
  • Monitor application performance, availability, and incident metrics to ensure service reliability
  • Automate infrastructure management, deployments, and operational processes to reduce manual effort
  • Implement observability, disaster recovery, and incident response practices to improve system resilience
  • Collaborate with development and operations teams to enhance system performance, security, and uptime

Growth Path

Site Reliability Engineer (SRE)Senior SRELead SREEngineering Manager (Reliability & Platform)Head of Site Reliability Engineering

Tools Used

PrometheusGrafanaKubernetesDockerTerraformJenkinsGitELK StackPagerDuty

Perfect For

Computer Science and Engineering Graduates | Software Developers and DevOps Engineers | Cloud and Infrastructure Professionals | System Administrators and Platform Engineers | Technology Professionals Interested in Reliability Engineering | Individuals Passionate About Automation and Scalable Systems

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

Professional Analyst & Mentor

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