Last Updated: 05/2026
Start Date Nov 15, 2025
Duration 75 Days
EMI Starting At ₹5841
Language Availability English

Course Description:

Build Expertise in AWS Cloud & DevOps Automation


The AWS DevOps Engineer Job-Oriented Program is designed to help learners master cloud infrastructure automation and continuous delivery using Amazon Web Services. With organizations rapidly migrating to cloud platforms, DevOps professionals skilled in AWS technologies are among the most demanded roles globally.
This program covers core AWS services, infrastructure provisioning, CI/CD pipeline automation, Docker containerization, Kubernetes orchestration, monitoring systems, logging tools, and cloud security best practices. Students learn how development and operations teams collaborate to deliver scalable applications efficiently.
Hands-on labs simulate real enterprise environments where learners deploy applications, manage cloud resources, automate infrastructure, and implement monitoring solutions. Real deployment projects allow participants to understand production workflows followed by modern technology companies. The course also focuses on troubleshooting strategies, cost optimization, performance monitoring, and secure cloud architecture design. By the end of the program, learners gain confidence managing cloud-native environments.
Career opportunities include AWS DevOps Engineer, Cloud Engineer, Site Reliability Engineer, Infrastructure Engineer, Release Engineer, Cloud Automation Specialist, and Platform Engineer roles across startups, IT services companies, and multinational cloud 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?

  • Understand the core principles of DevOps and its benefits.
  • Utilize key AWS services to implement CI/CD pipelines.
  • Implement Infrastructure as Code to manage AWS resources efficiently.
  • Manage configuration and automate tasks using AWS OpsWorks and Systems Manager.
  • Monitor and troubleshoot applications using AWS CloudWatch and X-Ray.
  • Apply security best practices for DevOps in AWS environments.

Who should enroll?

Software developers
Software developers

Streamlining development and deployment

System admin/ Operations engineers
System admin/ Operations engineers

Automate tasks and manage infrastructure

DevOps engineers/IT professionals
DevOps engineers/IT professionals

DevOps practices and leveraging AWS services

What are the prerequisites?

  • Basic understanding of software development and deployment processes
  • Familiarity with AWS services (recommended but not mandatory)
  • Knowledge of at least one programming language (e.g., Python, Java, JavaScript)

What is the price?

₹20000 ₹17700
₹17700 Buy Now

Course Curriculum

🌟 MODULE 1: AWS DevOps Engineer – Career Accelerator 2 lectures

📘 What You Will Learn

  • What exactly an AWS DevOps Engineer does in real companies
  • Difference between Developer, Cloud Engineer & DevOps Engineer
  • Why DevOps roles pay ₹5–7 LPA for freshers
  • How companies hire fresh graduates for DevOps roles
  • Certifications roadmap (AWS + DevOps)

📚 Topics Covered

  • DevOps mindset & industry demand in India
  • AWS DevOps Engineer job description (real JD breakdown)
  • Skills vs Degree: how companies shortlist freshers
  • AWS & DevOps certification path (beginner → job-ready)
  • Resume, GitHub & project importance

🎯 Outcomes

  • Clear career clarity after graduation
  • Confidence that freshers CAN crack DevOps roles
  • Personal DevOps learning roadmap

🛠️ Projects

  • DevOps Career Blueprint (your personal roadmap)
  • AWS DevOps Skills Gap Analysis
☁️ MODULE 2: AWS Cloud Fundamentals for DevOps 4 lectures

📘 Learning

  • Cloud concepts from zero level
  • AWS core services used by DevOps engineers daily

📚 Topics

  • Cloud computing basics (IaaS, PaaS, SaaS)
  • AWS global infrastructure
  • EC2, EBS, AMI
  • S3 & storage concepts
  • IAM (users, roles, policies)

🎯 Outcomes

  • You can confidently work on AWS console
  • Understand real-world cloud usage

🛠️ Projects

  • Launch EC2 + Host application
  • S3 static website hosting
🐧 MODULE 3: Linux for DevOps Engineers 4 lectures

📘 Learning

Linux administration from beginner to job-ready

📚 Topics

  • Linux OS fundamentals
  • File & directory management
  • Users, groups & permissions
  • Networking & process management
  • Shell commands for automation

🎯 Outcomes

  • Comfortable working on Linux servers
  • Ready for real-time troubleshooting

🛠️ Projects

  • Linux server setup for application hosting
  • User & permission management lab
🧑‍💻 MODULE 4: Git & GitHub – Version Control 7 lectures

📘 Learning

  • Industry-standard source code management

📚 Topics

  • Git basics & workflows
  • Branching & merging
  • GitHub repositories
  • Pull requests & collaboration

🎯 Outcomes

  • Professional GitHub profile
  • Work confidently with developers

🛠️ Projects

  • GitHub project with proper branching strategy
🔄 MODULE 5: CI/CD with Jenkins 5 lectures

📘 Learning

  • Build real CI/CD pipelines used in companies

📚 Topics

  • Jenkins architecture
  • Freestyle & pipeline jobs
  • Jenkinsfile
  • Build, test & deploy automation

🎯 Outcomes

  • Can explain CI/CD confidently in interviews
  • Hands-on pipeline experience

🛠️ Projects

  • CI/CD pipeline for Java / Node.js app
🐳 MODULE 6: Docker – Containerization 3 lectures

📘 Learning

  • Package applications using containers

📚 Topics

  • Docker architecture
  • Images & containers
  • Docker file
  • Docker Compose

🎯 Outcomes

  • Application containerization expertise
  • Faster deployments

🛠️ Projects

  • Dockerize a web application
  • Multi-container setup using Docker Compose
☸️ MODULE 7: Kubernetes – Container Orchestration 5 lectures

📘 Learning

Manage containers at scale

📚 Topics

Kubernetes architecture

Pods, Deployments, Services

ConfigMaps & Secrets

Scaling & self-healing

🎯 Outcomes

Real-world Kubernetes understanding

Ready for production-level discussions

🛠️ Projects

Deploy application on Kubernetes cluster

🏗️ MODULE 8: Infrastructure as Code (Terraform) 5 lectures

📘 Learning

Automate AWS infrastructure

📚 Topics

Terraform basics

Providers & resources

State management

AWS infra automation

🎯 Outcomes

Infrastructure automation skills

Stand out as job-ready fresher

🛠️ Projects

Create AWS infra using Terraform

📊 MODULE 9: Monitoring & Logging 5 lectures

📘 Learning

Monitor applications & servers

📚 Topics

AWS CloudWatch

Logs & alarms

Basic alerting

🎯 Outcomes

Understand real-time system health

🛠️ Projects

Monitoring dashboard for AWS resources

🎓 MODULE 10: AWS Certification Preparation 5 lectures

📘 Learning

Crack AWS certification confidently

📚 Topics

AWS Certified Cloud Practitioner / Solutions Architect (Basics)

DevOps Engineer Associate overview

Exam patterns & mock tests

🎯 Outcomes

Certification-ready confidence

Higher interview shortlisting

🛠️ Projects

Certification-based scenario labs

💼 MODULE 11: Job Readiness & Placement Support 5 lectures

📘 Learning

Convert skills into job offers

📚 Topics

AWS DevOps resume building

GitHub & LinkedIn optimization

Interview questions (real-time)

Mock interviews

🎯 Outcomes

Ready for AWS DevOps Engineer – Fresher roles

Target salary: ₹5–7 LPA

🛠️ Projects

End-to-end DevOps capstone project

Interview-ready project explanation

Course Projects

Building automated CI/CD pipelines

Using services like AWS CodePipeline, CodeBuild, and CodeDeploy to automate the build, test, and deployment of applications to various AWS services (e.g., EC2, S3, Lambda, ECS, EKS).

Read More
Integrating with version control systems

Connecting pipelines to repositories hosted on services like AWS CodeCommit or third-party platforms like GitHub or GitLab.

Read More
Implementing alerting and notifications

Configuring alarms in CloudWatch to trigger actions or send notifications (e.g., via SNS) when specific thresholds are met.

Read More

Tools Covered

Jenkins
Terraform
Ansible
Kubernates
Docker

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Frequently Asked Question

This program is a structured, job-focused training initiative designed to transform learners into industry-ready AWS DevOps Engineers. It covers the full DevOps lifecycle — from cloud infrastructure provisioning to CI/CD pipeline automation — with hands-on labs, real-world projects, and career support, all centered around Amazon Web Services (AWS).

Unlike standard AWS courses that focus primarily on theory and certification exam preparation, this program is job-oriented. It incorporates real-world project simulations, mock interviews, resume building, and placement assistance — ensuring you don't just learn AWS DevOps concepts but are fully prepared to work in a professional environment from day one.

The program typically spans 4 to 6 months, depending on the learning track chosen (weekday vs. weekend batches). This duration includes live instructor-led sessions, self-paced learning modules, hands-on lab exercises, capstone projects, and career preparation activities.

Participants learn AWS core services, Linux administration, shell scripting, Git, Docker, Kubernetes basics, CI/CD tools like Jenkins, infrastructure automation using Terraform, monitoring tools, and deployment strategies.

This program is ideal for IT freshers, system administrators, developers, cloud enthusiasts, and professionals wanting to transition into DevOps roles. Basic knowledge of Linux, networking, or cloud concepts is helpful but beginners with strong learning motivation can also successfully complete the training.

The program covers AWS EC2, S3, IAM, VPC, CloudWatch, CodePipeline, CodeDeploy, and CloudFormation along with DevOps tools such as Docker, Kubernetes, Jenkins, GitHub, Terraform, and monitoring tools.

The program provides resume building, interview preparation, mock interviews, technical mentoring, and placement assistance. Learners gain job-ready skills and project experience, making them suitable for roles like AWS DevOps Engineer, Cloud Engineer, Release Engineer, or Automation Engineer.

Career Scope?

    • DevOps Engineer
    • AWS Cloud Engineer
    • Site Reliability Engineer
    • Cloud Automation Engineer
    • Infrastructure Engineer
    • Cloud Security Specialist
    • System Administrator
    • Release Manager

Related Topics?

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Your Instructors

Person

Manthan

Senior AWS Engineer