DevOps Engineering Course
Master DevOps through practical training in Linux, Git, Docker, Kubernetes, CI/CD pipelines, cloud infrastructure, automation, and monitoring, backed by real-world projects.
Cloud & DevOps Beginner to Job-readyDevOps Engineering
Master DevOps through practical training in Linux, Git, Docker, Kubernetes, CI/CD pipelines, cloud infrastructure, automation, and monitoring, backed by real-world projects.
- Build and manage CI/CD pipelines
- Deploy applications on cloud platforms
- Containerize applications using Docker
Course Overview
Build skills that go beyond theory
DevOps Engineering course in Agra at AI Scholars is designed for suitable for beginners, students, graduates, job seekers, and working professionals interested in devops and cloud technologies. who want structured, mentor-led training with practical work, certification guidance, and career preparation.
Build practical DevOps skills through hands-on training in Linux, Git, Docker, Kubernetes, CI/CD pipelines, cloud infrastructure, Infrastructure as Code, automation, monitoring, and deployment. Work with industry-relevant DevOps tools and real-world projects to understand modern software delivery and operations.
Learning Outcomes
What you will be able to build
Turn guided lessons into practical abilities you can explain clearly in projects, internships, and interviews.
Manage Linux-based environments
Practice this through guided work using Linux, Git, GitHub and course projects.
Use Git and GitHub workflows
Practice this through guided work using Linux, Git, GitHub and course projects.
Build CI/CD pipelines
Practice this through guided work using Linux, Git, GitHub and course projects.
Containerize applications with Docker
Practice this through guided work using Linux, Git, GitHub and course projects.
Deploy applications with Kubernetes
Practice this through guided work using Linux, Git, GitHub and course projects.
Automate infrastructure with Terraform
Practice this through guided work using Linux, Git, GitHub and course projects.
Configure systems with Ansible
Practice this through guided work using Linux, Git, GitHub and course projects.
Deploy applications on AWS
Practice this through guided work using Linux, Git, GitHub and course projects.
Monitor systems and applications
Practice this through guided work using Linux, Git, GitHub and course projects.
Build practical DevOps projects
Practice this through guided work using Linux, Git, GitHub and course projects.
Course Curriculum
A clear path from foundations to final project work
Modules are structured from the available course curriculum, keeping the learning sequence easy to scan without changing the underlying course data.
- Linux Fundamentals & Shell Scripting
- Git & GitHub Version Control
- Networking & Security Basics
- Docker & Containerization
- Kubernetes Administration
- Jenkins CI/CD Pipelines
- Infrastructure as Code with Terraform
- AWS Cloud Fundamentals
- AWS EC2
- S3
- VPC & IAM
- Configuration Management with Ansible
- Monitoring with Prometheus & Grafana
- Logging with ELK Stack
- Cloud Security Fundamentals
- Application Deployment Strategies
- Real-World DevOps Projects
Tools & Technologies
Learn the tools used in modern workflows
The DevOps Engineering learning path includes practical exposure to the technologies listed in the course curriculum.
Live Project Experience
Build projects you can actually show in interviews
Transform what you learn into portfolio-ready work, documented demos, and practical explanations for professional conversations.
Portfolio Application
Build and manage CI/CD pipelines
Dashboard Workflow
Deploy applications on cloud platforms
API or Automation Project
Containerize applications using Docker
Final Project Demo
Orchestrate containers with Kubernetes
Career Outcomes
Turn your skills into career-ready proof
The program connects classroom learning with project review, portfolio development, interview communication, and course counseling.
Industry-Relevant Skills
Understand how modern teams apply technical skills in practical workflows and project decisions.
Mentor Reviews
Receive guidance on project clarity, presentation quality, and gaps to improve before interviews.
Portfolio Proof
Use projects, demos, documentation, and explanations to demonstrate what you can build.
Interview Preparation
Practice explaining your project choices, tools, problem-solving process, and learning path.
Placement Roadmap
From learning to interviews
A simple progression helps students move from fundamentals to project confidence and career conversations.
Skill Foundation
Build strong technical fundamentals through guided training.
Guided Projects
Apply skills through real-world project work.
Portfolio Polish
Organize your strongest work into an interview-ready portfolio.
Mock Interviews
Practice technical explanations and professional communication.
Career Counseling
Receive guidance for internships, job profiles, and next career steps.
Mentor-Led Learning
Learn with guidance, feedback, and real project reviews
AI Scholars mentors help learners connect concepts with practical execution through live training, project checkpoints, portfolio improvement, and interview preparation.
Course Inquiry
Get batch timings, fee details, and demo class guidance
Share your details and the AI Scholars team will contact you about DevOps Engineering, curriculum, certification, and admission next steps.
DevOps Engineering
Request a callback for course counseling.
FAQ
Questions before joining DevOps Engineering?
A few quick answers before you speak with the counseling team.
Yes. The program starts with fundamentals and moves toward practical projects, portfolio work, and interview readiness.
Internship guidance is available with project tracks, mentor reviews, and certification options where applicable.
Yes. Project work is part of the learning path so students can demonstrate practical skills, not just complete theory.
AI Scholars supports resume improvement, mock interviews, portfolio review, and career counseling.
Helpful Next Pages
Explore connected programs and guides
Useful internal resources for students comparing programs, services, and local training options.
Start Your Learning Journey
Build practical skills with AI Scholars
Speak with our team about batches, curriculum, demo classes, certification, and career guidance.