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DevOps Engineer

Corporate Training

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Course Brochure
Last Updated: 05/2026
Start Date Oct 08, 2025
Duration 90 Days
EMI Starting At ₹2950
Language Availability English

Course Description:

Learn Automation & Continuous Delivery Practices


The DevOps Engineer Program prepares learners to work in modern software environments where automation, collaboration, and rapid deployment are essential. DevOps practices help organizations deliver applications faster while maintaining stability and scalability.
The training covers Linux administration, Git version control systems, CI/CD pipelines, Docker containerization, Kubernetes orchestration, monitoring tools, configuration management, and cloud integration practices. Students learn how automated workflows reduce manual effort and improve operational efficiency.
Participants work on real deployment pipelines, enabling them to understand continuous integration, testing automation, release management, and infrastructure scalability concepts used in production environments.
The program emphasizes collaboration between development and operations teams, agile methodologies, and performance monitoring strategies. Practical exposure ensures candidates gain industry-ready skills aligned with real job roles.
Graduates can pursue careers as DevOps Engineer, Automation Engineer, Release Engineer, Platform Engineer, Cloud DevOps Engineer, Site Reliability Engineer, Infrastructure Automation Specialist, and Continuous Delivery Engineer across software companies and cloud-driven organizations.

Course Key Highlights:

Learn concepts
Test your knowledge
Hands-on practice
Meet with Expert
Tech-Focused Approach
Career Support
Industry-Relevant Curriculum
Flexibility and Accessibility
Why should you opt for this course?
  • High Demand & Stability
  • Competitive Salaries
  • Job Security
  • Problem-Solving Skills
  • Future-Proofing
  • Continuous Learning

What will you learn?

  • Understanding the fundamental concepts and principles of DevOps..
  • Learning about various DevOps tools and their usage in software development and deployment..
  • Gaining proficiency in implementing continuous integration and continuous delivery pipelines..
  • Mastering automation techniques for infrastructure provisioning, configuration management, and deployment..
  • Acquiring skills in containerization and orchestration using Docker and Kubernetes..
  • Developing the ability to monitor, measure, and improve the performance of DevOps processes and systems..
  • Preparing for industry-recognized DevOps certifications to enhance career prospects..

Who should enroll?

🎓 IT & Computer Science Graduates
🎓 IT & Computer Science Graduates

Graduates seeking strong DevOps foundations and real-world deployment skills.

🔄 Working IT Professionals (0–2 Years)
🔄 Working IT Professionals (0–2 Years)

Support, system, or cloud professionals upgrading into DevOps roles.

🚀 Career Switchers to DevOps
🚀 Career Switchers to DevOps

Non-DevOps professionals aiming structured path into DevOps engineering careers.

What are the prerequisites?

  • Basic understanding of software development lifecycle (SDLC).
  • Familiarity with version control systems (e.g., Git).
  • Knowledge of continuous integration and continuous delivery (CI/CD) concepts.
  • Understanding of containerization technologies (e.g., Docker).
  • Awareness of cloud computing platforms (e.g., AWS, Azure).
  • Experience with using and navigating command line interface (CLI).

What is the price?

₹20000 ₹5900
₹5900 Buy Now

Course Curriculum

🌟 Module 1: DevOps Foundations & Industry Mindset 2 lectures

🎯 Learning

  • Understand DevOps culture, roles, tools & real-world workflows
  • Learn how DevOps engineers work in MNCs

📚 Topics

  • What is DevOps & why companies need it
  • DevOps lifecycle & CI/CD pipeline overview
  • DevOps Engineer roles & responsibilities
  • Agile, Scrum & IT collaboration

✅ Outcomes

  • Clear understanding of DevOps career path
  • Confidence to speak DevOps concepts in interviews

🛠️ Project

  • Design a DevOps Lifecycle Flow for a real product company
🐧 Module 2: Linux Administration for DevOps 2 lectures

🎯 Learning

  • Manage Linux servers used in production environments

📚 Topics

  • Linux OS architecture
  • File system, users & permissions
  • Process & service management
  • Networking, SSH & package management
  • Shell scripting basics

✅ Outcomes

  • Ability to manage real production Linux servers

🛠️ Projects

  • Linux server hardening
  • Shell script for server health monitoring
🌐 Module 3: Networking & Server Fundamentals 3 lectures

🎯 Learning

  • Understand networking concepts used in DevOps infrastructure

📚 Topics

  • TCP/IP, DNS, HTTP/HTTPS
  • Load balancers & firewalls
  • Web servers (Apache, Nginx)
  • Reverse proxy concepts

✅ Outcomes

  • Clear understanding of how applications communicate

🛠️ Projects

  • Configure Nginx web server with reverse proxy
🔧 Module 4: Git & Version Control (DevOps Core Skill) 5 lectures

🎯 Learning

  • Manage source code like a professional DevOps engineer

📚 Topics

  • Git architecture & workflows
  • Branching strategies
  • GitHub/GitLab repository management
  • Pull requests & merge conflicts

✅ Outcomes

  • Strong version control & collaboration skills

🛠️ Projects

  • Git-based team collaboration project
🔄 Module 5: CI/CD with Jenkins 3 lectures

🎯 Learning

  • Automate build, test & deployment pipelines

📚 Topics

  • Jenkins installation & configuration
  • Declarative & scripted pipelines
  • Integrating Git, Maven, Docker
  • Pipeline security & best practices

✅ Outcomes

  • Ability to build enterprise-level CI/CD pipelines

🛠️ Projects

  • End-to-end CI/CD pipeline for a Java/Python app
🐳 Module 6: Containerization with Docker 3 lectures

🎯 Learning

  • Package applications into containers

📚 Topics

  • Docker architecture
  • Dockerfiles & images
  • Container networking & volumes
  • Docker Compose

✅ Outcomes

  • Application containerization expertise

🛠️ Projects

  • Dockerize a multi-tier application
☸️ Module 7: Kubernetes – Container Orchestration 3 lectures

🎯 Learning

  • Manage containers at scale

📚 Topics

  • Kubernetes architecture
  • Pods, services & deployments
  • ConfigMaps & secrets
  • Helm charts
  • Kubernetes monitoring

✅ Outcomes

  • Real-world Kubernetes production knowledge

🛠️ Projects

  • Deploy microservices application on Kubernetes
☁️ Module 8: Cloud Infrastructure (Azure / AWS) 2 lectures

🎯 Learning

  • Build scalable cloud infrastructure

📚 Topics

  • Cloud fundamentals
  • Compute, storage & networking
  • IAM & security
  • Auto-scaling & load balancing

✅ Outcomes

  • Hands-on cloud deployment experience

🛠️ Projects

  • Deploy production-ready application on cloud
🧩 Module 9: Infrastructure as Code (Terraform) 2 lectures

🎯 Learning

  • Automate infrastructure provisioning

📚 Topics

  • Terraform basics
  • Modules & state management
  • Provisioning cloud resources

✅ Outcomes

  • Infrastructure automation expertise

🛠️ Projects

  • Provision complete cloud infrastructure using Terraform
📊 Module 10: Monitoring & Logging 2 lectures

🎯 Learning

  • Monitor system health & application performance

📚 Topics

  • Prometheus & Grafana
  • ELK stack
  • Alerting & incident response

✅ Outcomes

  • Ability to monitor real production systems

🛠️ Projects

  • Monitoring dashboard for live servers
🔐 Module 11: DevSecOps & Security 5 lectures

🎯 Learning

  • Integrate security into DevOps pipelines

📚 Topics

  • DevSecOps principles
  • Secrets management
  • Vulnerability scanning
  • CI/CD security

✅ Outcomes

  • Security-aware DevOps mindset

🛠️ Projects

  • Secure CI/CD pipeline implementation
💼 Module 12: Real-Time DevOps Capstone Project 5 lectures

🎯 Learning

  • Apply all DevOps skills in one enterprise project

🛠️ Project

  • End-to-end DevOps implementation
  • Git → Jenkins → Docker → Kubernetes → Cloud → Monitoring

✅ Outcomes

  • Portfolio-ready real-world DevOps project

Course Projects

CI CD Pipelines for Banks

Learn how to create a secure DevOps pipeline for a digital bank application. Integrate secret scanning, policy enforcement, dynamic testing, and role-based access control using short-lived AWS credentials.

Read More
Production Grade Kubernetes Cluster

Learn how to create a production grade kubernetes cluster with networking using Istio. Implement fine-grained access policies, enforce runtime controls, and secure pod communications with mutual TLS and authorization.

Read More
Media and Streaming

Learn how to design the DevOps infrastructure for a company like Netflix/Spotify, to ensure high performance, live streaming of audio/video platforms, video on demand, and video file processing.

Read More

Tools Covered

Terraform
Jenkins
Docker
Ansible

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Frequently Asked Question

The DevOps Engineer – Job Ready Corporate Training Program is a practical, industry-focused training designed to prepare students and professionals for real-world DevOps roles. The program covers automation, CI/CD pipelines, cloud computing, containerization, infrastructure management, and monitoring tools used in modern IT environments.

This program is ideal for:

  • Fresh graduates (B.Tech, BCA, MCA, B.Sc IT)
  • System administrators
  • Software developers
  • Network engineers
  • Cloud engineers
  • IT support professionals
  • DevOps beginners
  • Working professionals looking to switch careers

Yes. The program starts with foundational concepts such as Linux, networking, and Git before moving to advanced DevOps tools and automation technologies, making it suitable for beginners as well as experienced professionals.

This is primarily a job-oriented training program focused on building practical skills for employment. However, it also prepares participants for industry-recognized certifications.

Yes. CI/CD pipeline automation is a core component of this program. You will learn how to:

  • Build automated pipelines
  • Deploy applications automatically
  • Integrate code repositories
  • Monitor deployments
  • Manage version control

After completing the program, you can apply for roles such as:

  • DevOps Engineer
  • Cloud Engineer
  • Site Reliability Engineer (SRE)
  • Build and Release Engineer
  • Infrastructure Engineer
  • Automation Enginee
  • Platform Engineer

The salary depends on experience and skill level:

  • reshers: ₹4 LPA – ₹7 LPA
  • 1–3 Years Experience: ₹7 LPA – ₹12 LPA
  • Experienced Professionals: ₹12 LPA – ₹20+ LPA

Career Scope?

    • Site Reliability Engineer (SRE)
    • DevSecOps Engineer
    • Automation Engineer
    • Cloud Security Engineer

Related Topics?

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Your Instructors

Person

Manthan

Senior AWS Engineer