AWS DevOps Mastery: Build, Automate & Deploy
November 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 16 November 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.
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 · 5 sessions
- 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 · 4 sessions
- 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 · 5 sessions
- 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 · 4 sessions
- 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 · 5 sessions
- 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 · 4 sessions
- 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 · 5 sessions
- 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 · 4 sessions
- 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 · 5 sessions
- 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 · 31 sessions
- 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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