DevOps Master Program + Agentic AI

India's most complete DevOps program for 2026 — Linux to Kubernetes, AWS, Docker, Terraform, Jenkins, Python, and now Agentic AI with LangGraph. Build real projects and launch your AI-powered DevOps career.

About the course

The DevOps Master Program is an 8-month (32-week) comprehensive program that takes you from Linux basics all the way to Kubernetes, cloud, and AI-powered automation. It includes 12 live instructor-led training modules — covering Linux, Ansible, AWS, Terraform, Docker, Kubernetes, Git & Jenkins, Python, Grafana & Prometheus, and the new Agentic AI for DevOps module with LangGraph — plus self-paced bonus modules such as Nginx, PostgreSQL, Bash Shell Scripting, CCNA Networking, and AWS AI Practitioner. No prior programming experience is required: the program starts from Linux fundamentals and gradually builds up your skills, with Python taught as part of the curriculum. You will complete 5 real-world projects, including deploying multi-tier applications on Linux, cloud, and Kubernetes, and building complete CI/CD pipelines. The program prepares you for AWS Solutions Architect, HashiCorp Terraform Associate, CKA, and RHCSA certifications, and includes career support with ATS-optimized resume building, LinkedIn optimization, and mock interviews.

Course details

What's included

Course content

Linux Administration (4 weeks)

  • Red Hat Enterprise Linux essentials
  • User management, permissions & SELinux
  • Networking, firewalld & SSH configuration
  • Storage management & containers

Ansible Automation (3 weeks)

  • Ad-hoc commands & playbooks
  • Variables, facts & Jinja2 templates
  • Roles, Galaxy & AWS integration
  • Industry standards & collections

AWS Cloud (4 weeks)

  • EC2, EBS, S3 & IAM
  • VPC, Route53 & CloudFront
  • RDS, Lambda & ECS
  • Load balancers & Auto Scaling

Terraform (2 weeks)

  • Terraform CLI & workflow
  • Modules, variables & functions
  • State management (local & S3)
  • Terraform Cloud & Sentinel

Docker (3 weeks)

  • Container architecture & images
  • Dockerfile & Docker Compose
  • Networking, volumes & security
  • Docker Swarm & secrets

Kubernetes (4 weeks)

  • Pods, Deployments & Services
  • RBAC, Network Policies & Storage
  • HA clusters & monitoring
  • Troubleshooting & automation

Git & Jenkins (2 weeks)

  • Version control with Git
  • Test-driven development
  • Jenkins pipelines & security
  • OpenShift deployment

Python for Automation (4 weeks)

  • Python fundamentals & OOP
  • File I/O, JSON & CSV handling
  • AWS integration with Boto3
  • Networking, security & multithreading

Grafana & Prometheus (2 weeks)

  • Prometheus installation & PromQL
  • Grafana dashboards & plugins
  • VM, Docker & K8s monitoring
  • RBAC & cloud resource monitoring

Agentic AI for DevOps (2 weeks)

  • Generative AI & OpenAI SDK
  • Prompt engineering & function calling
  • LangGraph agentic workflows
  • Agentic AI for Kubernetes automation

Resume Building & Career Readiness (1 week)

  • ATS-optimized resume
  • LinkedIn optimization
  • Technical mock interviews
  • Non-technical interviews

Self-Paced: Nginx

  • HTTP protocol & reverse proxy
  • Load balancing & caching
  • SSL/TLS & access control
  • Logging & compression

Self-Paced: DevOps Projects

  • Multi-tier app on Linux
  • Cloud deployment with EC2
  • Kubernetes deployment
  • Complete CI/CD pipeline

Self-Paced: PostgreSQL

  • MySQL installation & administration
  • Storage engines & user management
  • Backup, restore & replication
  • Docker integration & cloud databases

Self-Paced: AWS AI Practitioner

  • Amazon Bedrock & Generative AI
  • Prompt engineering & Amazon Q
  • AWS SageMaker deep dive
  • AI challenges & responsibilities

Self-Paced: Bash Shell Scripting

  • Shell scripting fundamentals
  • Real-world scripting examples
  • 7 hands-on projects
  • Networking automation scripts

Self-Paced: CCNA Networking

  • IPv4/IPv6, switching & routing
  • OSPF, NAT & DHCP
  • VPN & wireless security
  • SDN & REST APIs

Frequently asked questions

What is the duration of the DevOps Master Program?
The program is 8 months (32 weeks) long. It includes 17 modules covering live instructor-led training for core DevOps tools plus the new Agentic AI for DevOps module, and self-paced learning modules for additional technologies.
What's the difference between live and self-paced modules?
Live modules are conducted by expert instructors in virtual classrooms with real-time interaction, Q&A, and hands-on labs — including the new Agentic AI for DevOps module. Self-paced modules (PostgreSQL, AWS AI Practitioner, Bash Scripting, CCNA) are recorded sessions you can complete at your own pace.
Do I need prior programming experience?
No prior programming experience is required. The program starts from Linux basics and gradually builds up your skills. Python programming is taught as part of the curriculum.
What certifications does this program prepare me for?
This program prepares you for AWS Solutions Architect, HashiCorp Terraform Associate, CKA (Certified Kubernetes Administrator), and RHCSA certifications. Exam fees are not included.
What kind of projects will I work on?
You'll complete 5 real-world projects including deploying multi-tier applications on Linux, cloud, and Kubernetes, plus building complete CI/CD pipelines.
Is job placement assistance provided?
Yes, we provide comprehensive career support including ATS-optimized resume building, LinkedIn optimization, technical and non-technical mock interviews, and job placement assistance.