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AWS DevOps Mastery: Build, Automate & Deploy

AWS DevOps Mastery – October 2026 Morning Batch

Live online AWS DevOps batch focused on practical, hands-on learning. Classes will be conducted Monday to Saturday from 8:00 AM to 9:00 AM IST. The 3-month batch starts on 26 October 2026. Students will learn AWS, Linux, Git, Jenkins, Terraform, Docker, Kubernetes and CI/CD. Hands-on labs, assignments, deployment exercises and project work will be included.

Online Beginner, Intermediate English AWS DevOps Jenkins Terraform Docker Kubernetes Grafana Linux Git AWS CodePipeline

AWS DevOps Mastery: Build, Automate & Deploy

Master AWS DevOps through hands-on training, cloud automation, and real-world projects.

Take your cloud and DevOps skills to the next level with our instructor-led AWS DevOps training program.

Designed for students, software developers, and IT professionals, this course focuses on practical learning and industry-relevant technologies. Learn how to build, automate, deploy, and monitor applications using AWS and modern DevOps tools.

Gain hands-on experience, work on real-world projects, and develop the technical confidence to tackle modern cloud engineering challenges.

🚀 What You'll Learn

  • AWS Cloud Services: Work with EC2, S3, IAM, VPC, and AWS CLI.
  • Linux & Shell Scripting: Master essential Linux commands and automate repetitive tasks.
  • Git & GitHub: Manage source code and collaborate using version control.
  • Docker: Build, manage, and deploy containerized applications.
  • Terraform: Automate cloud infrastructure using Infrastructure as Code (IaC).
  • CI/CD Pipelines: Automate build, testing, and deployment workflows.
  • AWS DevOps Tools: Work with AWS CodePipeline, CodeBuild, ECR, and ECS.
  • Monitoring & Security: Explore CloudWatch, logging, IAM roles, and cloud security best practices.

🛠️ Hands-On Learning

Learn by doing! Our training emphasizes practical implementation through:

  • Live, interactive sessions with experienced trainers.
  • Hands-on AWS cloud labs and exercises.
  • Practical assignments and real-world scenarios.
  • Infrastructure provisioning and automation.
  • CI/CD pipeline implementation.
  • Containerization and cloud deployment.
  • An end-to-end DevOps project.

🎯 Who Should Enroll?

This course is suitable for:

  • Students and fresh graduates interested in cloud and DevOps.
  • Software developers looking to expand their technical skills.
  • System administrators transitioning to cloud engineering.
  • IT professionals seeking to upskill.
  • Individuals interested in AWS, automation, and DevOps engineering.

✅ Prerequisites

Basic knowledge of computers, networking, and programming is recommended.

Familiarity with Linux and Git will be beneficial, but prior AWS or DevOps experience is not mandatory.

💻 Training Details

  • Duration: 15 Weeks
  • Training Hours: 45 Hours
  • Mode: Live Online, Instructor-Led
  • Platform: GeeksArray
  • Level: Beginner to Intermediate
  • Learning Approach: Hands-On Labs & Project-Based Training

🌟 Why Choose This Course?

  • Learn from experienced industry professionals.
  • Gain hands-on experience with AWS and modern DevOps tools.
  • Understand real-world cloud infrastructure and deployment workflows.
  • Develop practical skills in Docker, Terraform, and CI/CD.
  • Work on industry-relevant assignments and projects.
  • Build a portfolio that demonstrates your technical capabilities.
  • Strengthen your problem-solving abilities and technical confidence.

📈 Career Readiness

Develop practical, industry-relevant skills for AWS DevOps Engineer, Cloud Engineer, and related technical roles.

Through hands-on training, real-world projects, and expert guidance, you'll strengthen your technical knowledge, problem-solving abilities, and confidence.

Our focus is on helping you develop the practical skills required to succeed in modern cloud and DevOps environments.

Learn. Build. Automate. Become Job-Ready.

📜 Course Completion

Learners who successfully complete the training and meet the applicable assessment requirements may receive a course completion certificate through GeeksArray.

🎓 Start Your DevOps Journey

Take the next step in your cloud engineering journey with practical AWS DevOps training.

Build real-world skills, gain hands-on experience, and learn how to automate and deploy applications with confidence.

Enroll today and start building your AWS DevOps expertise!

ConfidentHire Academy — Learn. Upskill. Build Your Career.

Curriculum · 10 modules, 30 lessons

Module 1 — DevOps Fundamentals 3 lessons
  • Session 1: Introduction to DevOps and the software delivery lifecycle · 90
  • Session 2: CI/CD concepts and DevOps toolchain · 90
  • Session 3: DevOps workflow and hands-on environment setup · 90
Module 2 — Linux for DevOps 3 lessons
  • Session 4: Linux fundamentals and command line · 90
  • Session 5: Linux processes, services, networking, and troubleshooting · 90
  • Session 6: Shell scripting and automation · 90
Module 3 — Git & Version Control 3 lessons
  • Session 7: Git fundamentals and repository workflow · 90
  • Session 8: Branching, merging, rebasing, and conflict resolution · 90
  • Session 9: Git workflows for DevOps pipelines · 90
Module 4 — AWS Fundamentals 3 lessons
  • Session 10: AWS fundamentals, IAM, and global infrastructure · 90
  • Session 11: EC2, S3, and AWS CLI · 90
  • Session 12: VPC, networking, load balancing, and scaling · 90
Module 5 — Docker 3 lessons
  • Session 13: Docker fundamentals, images, and containers · 90
  • Session 14: Dockerfiles, volumes, networking, and Docker Compose · 90
  • Session 15: Docker in CI/CD and AWS container registries · 90
Module 6 — Jenkins 3 lessons
  • Session 16: Jenkins fundamentals and CI setup · 90
  • Session 17: Jenkins Pipeline and Jenkinsfile · 90
  • Session 18: Jenkins CI/CD with Git, Docker, and AWS · 90
Module 7 — Terraform 3 lessons
  • Session 19: Infrastructure as Code and Terraform fundamentals · 90
  • Session 20: Provisioning AWS infrastructure with Terraform · 90
  • Session 21: Terraform state, modules, remote backend, and best practices · 90
Module 8 — Kubernetes 3 lessons
  • Session 22: Kubernetes architecture and core objects · 90
  • Session 23: Kubernetes Services, ConfigMaps, Secrets, and storage · 90
  • Session 24: Application deployment, scaling, updates, and AWS EKS overview · 90
Module 9 — AWS CodePipeline 3 lessons
  • Session 25: AWS CodePipeline fundamentals and pipeline design · 90
  • Session 26: Build and deployment automation with AWS CodePipeline · 90
  • Session 27: End-to-end AWS CI/CD pipeline · 90
Module 10 — Grafana & Monitoring 3 lessons
  • Session 28: Monitoring fundamentals and Grafana dashboards · 90
  • Session 29: Grafana alerts and AWS monitoring integration · 90
  • Session 30: Capstone – build, automate, deploy, and monitor · 90

Cancellation & refund policy

Refund Policy

  • If a cancellation request is received 7 days or more before the batch start date, 25% of the course fee will be deducted as cancellation charges and the remaining amount will be refunded.
  • If a cancellation request is received between 3 and 6 days before the batch start date, 50% of the course fee will be deducted as cancellation charges and the remaining amount will be refunded.
  • If a cancellation request is received less than 3 days before the batch start date, no refund will be applicable.
  • No refund will be provided once the batch has started.
  • If the batch is cancelled by ConfidentHire Academy, the full course fee paid by the student will be refunded.
  • Course fees are non-transferable to another student.
  • Approved refunds will be processed within 7–10 working days.

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