AI-Powered DevOps Program
Become an AI-Powered DevOps Engineer
Master DevOps, Cloud, Kubernetes, OpenShift & AI automation with real enterprise projects. Learn the skills Fortune 500 teams use and build production-ready pipelines from scratch.
- 100% Hands-on Labs
- Real Enterprise Scenarios
- Live Project Support
- AI + DevOps Integration
- Career & Interview Prep
AI Copilot: Deploy healthy — scaled to 6 replicas, 0 errors detected.
Duration
12 Weeks
Format
Live + Online, Instructor-led
Effort
80+ hours of training
Projects
6+ hands-on projects
Certificate
On completion
Batches
New batch every month
Career outcomes
High-demand roles you'll be ready for
The IT industry is moving fast toward AI-driven operations. This program prepares you for the roles hiring right now — with the salary bands to match.
DevOps Engineer
Automate builds, releases & infrastructure end to end.
Salary range
₹6–18 LPA
Platform Engineer
Build internal platforms teams ship on every day.
Salary range
₹10–22 LPA
Cloud & SRE
Keep production reliable, observable & scalable.
Salary range
₹12–25 LPA
AIOps Engineer
Drive operations with AI, LLMs & intelligent automation.
Salary range
₹15–30 LPA
Global career opportunities
A skill set the whole world is hiring for
DevOps is projected to grow strongly through 2032 alongside cloud and microservices adoption, with rising demand for automation, real-time monitoring, security and AI-driven operations.
Industry hiring trends
In-demand jobs globally
Top 10
DevOps ranks among the most sought-after tech roles.
Market growth (CAGR)
~20%
Projected annual DevOps market growth through 2032.
Global market by 2032
$57B+
Forecasted size of the global DevOps market.
Figures from public industry & market reports (2024). Update with your preferred citation.
Where these skills are used
From banks to streaming platforms, modern software runs on DevOps & AI-driven operations — the exact skills this program builds.
Companies hiring DevOps & AI talent
Company names/logos indicate employers active in the DevOps & cloud job market and are shown for illustration only. Enterflow is not affiliated with, endorsed by, or a placement partner of these companies.
What you'll be able to do
Graduate production-ready, not just certified
Every skill in this program maps to real work you'll do on the job. By the end, you'll have shipped pipelines, clusters and AI-driven automation you can put straight into your portfolio.
Start your DevOps career- Deploy applications on Kubernetes & OpenShift
- Design and run CI/CD pipelines
- Automate infrastructure with Terraform
- Build GitOps platforms with ArgoCD
- Implement monitoring & observability
- Build AI-powered automation systems
- Create production RAG applications
- Deploy and manage LLMs
- Build AI agents for enterprise use cases
- Crack DevOps & AI interviews confidently
The curriculum
Your learning path — fundamentals to AIOps
Eleven modules that build on each other across five phases. Foundations first, then cloud-native operations, then the AI track that sets you apart.
FoundationsModule 01 Week 1Linux, Networking & Shell Foundations
Get fluent on the command line and the systems every tool runs on.
LinuxBashNetworkingDNS
Linux, Networking & Shell Foundations
Get fluent on the command line and the systems every tool runs on.
What you'll learn
- Linux administration & the command line
- Networking, DNS, load balancing & TLS basics
- Bash scripting & automation fundamentals
CoreModule 02 Week 2Git, GitHub & Version Control
Collaborate like a real engineering team with clean Git workflows.
GitGitHubGitLab
Git, GitHub & Version Control
Collaborate like a real engineering team with clean Git workflows.
What you'll learn
- Branching strategies & pull-request workflows
- Trunk-based development & code reviews
- Collaboration on real team repositories
CoreModule 03 Week 3CI/CD Pipelines
Automate build, test and release so code ships on every commit.
JenkinsGitHub ActionsGitLab CI
CI/CD Pipelines
Automate build, test and release so code ships on every commit.
What you'll learn
- Jenkins, GitHub Actions & GitLab CI
- Automated build, test & release pipelines
- Debugging real pipeline failures
CoreModule 04 Week 4Docker & Containerization
Package any app into portable, production-ready containers.
DockerRegistryCompose
Docker & Containerization
Package any app into portable, production-ready containers.
What you'll learn
- Images, registries & multi-stage builds
- Container networking & volumes
- Packaging enterprise apps for production
AdvancedModule 05 Week 5–6Kubernetes & OpenShift
Run, scale and self-heal containerized apps in production.
KubernetesOpenShiftHelm
Kubernetes & OpenShift
Run, scale and self-heal containerized apps in production.
What you'll learn
- Deployments, services, ingress & Helm
- Scaling, self-healing & rolling updates
- Real cluster troubleshooting & operations
AdvancedModule 06 Week 7Infrastructure as Code — Terraform
Provision entire cloud environments from version-controlled code.
TerraformAWSAzure
Infrastructure as Code — Terraform
Provision entire cloud environments from version-controlled code.
What you'll learn
- Provisioning cloud infra as code
- Modules, state management & workspaces
- Reusable, environment-aware infrastructure
AdvancedModule 07 Week 8GitOps with ArgoCD
Ship with Git as the single source of truth for every deployment.
ArgoCDGitOpsKustomize
GitOps with ArgoCD
Ship with Git as the single source of truth for every deployment.
What you'll learn
- Declarative, Git-driven deployments
- Progressive delivery & rollbacks
- Blue-green & canary release strategies
AdvancedModule 08 Week 9Monitoring & Observability
See every metric, log and trace — and act before users notice.
PrometheusGrafanaELK
Monitoring & Observability
See every metric, log and trace — and act before users notice.
What you'll learn
- Prometheus, Grafana & the ELK stack
- Metrics, logs, traces & alerting
- Production incident detection & response
AdvancedModule 09 Week 10Cloud Platforms & Security
Design secure, resilient cloud infrastructure the DevSecOps way.
AWSAzureIAMDevSecOps
Cloud Platforms & Security
Design secure, resilient cloud infrastructure the DevSecOps way.
What you'll learn
- AWS / Azure core services & networking
- IAM, secrets & DevSecOps practices
- Disaster recovery & zero-downtime deploys
AI TrackModule 10 Week 11AI for DevOps — LLMs, RAG & Agents
Automate operations with LLMs, RAG systems and AI agents.
CopilotLangChainRAGMCP
AI for DevOps — LLMs, RAG & Agents
Automate operations with LLMs, RAG systems and AI agents.
What you'll learn
- ChatGPT, GitHub Copilot & MCP for DevOps
- Build RAG apps & deploy your own LLMs
- AI agents that automate operations & triage
CapstoneModule 11 Week 12Capstone Projects & Career Launch
Ship an end-to-end system and walk in interview-ready.
PortfolioMock interviewsResume
Capstone Projects & Career Launch
Ship an end-to-end system and walk in interview-ready.
What you'll learn
- End-to-end production-grade capstone build
- Portfolio, resume & LinkedIn optimization
- Mock interviews & scenario-based prep
Capstone projects
Graduate with real projects, not just notes
You'll build and ship enterprise-style systems you can demo in interviews and add straight to your portfolio.
AI-Powered SRE Assistant
Build an AI agent that reads logs & metrics, detects anomalies and suggests fixes for production incidents.
Zero-Downtime E-commerce Platform
Deploy a microservices store on Kubernetes with blue-green releases, autoscaling and self-healing.
End-to-End Fintech Delivery Pipeline
Automate build, test, security scanning and GitOps deployment for a banking-grade application.
Multi-Cloud Infrastructure as Code
Provision and govern reproducible AWS/Azure environments with Terraform modules and remote state.
The AI advantage
Where DevOps meets Artificial Intelligence
Modern engineers are expected to automate deployment, monitoring, troubleshooting and incident response with AI. You'll learn to do exactly that.
ChatGPT
Troubleshoot & script faster
GitHub Copilot
AI pair-programming for pipelines
RAG Applications
Context-aware ops assistants
AI Agents
Automate incident triage
LLMs (self-hosted)
Deploy & manage your own models
MCP
Connect AI to your toolchain
Your credential
Earn a Certificate of Completion
Finish the program and your capstone to receive an Enterflow Certificate of Completion — proof of the production-ready DevOps & AI skills you've built, ready to share on LinkedIn and with recruiters.
- Verifiable certificate with a unique ID
- Showcases the tools & projects you mastered
- Shareable to LinkedIn & your resume in one click
Certificate of Completion
AI-Powered DevOps Engineer
Program Director
Why choose us
Training built to make you employable
Real Enterprise DevOps
Train on production-grade enterprise projects, not throwaway tutorials.
100% Hands-On Training
Every topic ships with live demos, labs and real deployment exercises.
AI-Powered Learning
Use ChatGPT, Copilot, MCP, RAG, agents & LLMs to automate real DevOps work.
Expert Mentorship
Learn from seasoned engineers with deep enterprise and production insight.
Dedicated Support
A learner community, Q&A sessions and mentorship whenever you're stuck.
Job-Oriented Curriculum
Built around the exact skills companies hire for — you graduate job-ready.
Always Up to Date
Content refreshed continuously with the latest DevOps, Cloud & AI tech.
Lifetime Resources
Keep lifelong access to learning material and curriculum updates.
The difference
Not another watch-and-forget video course
Real production scenarios
Solve the problems real teams face
You won't just learn tools — you'll practice the high-pressure situations engineers are actually paid to handle.
- Zero-downtime deployments
- Blue-Green & Canary releases
- Kubernetes troubleshooting
- CI/CD pipeline failures
- Infrastructure automation
- Disaster recovery
- Monitoring & alerting
- Performance optimization
Industry-level projects
Build for the way real industries work
Get hands-on with DevOps implementations across nine domains and learn how each customizes tooling to its own workflows.
Who should join
Built for anyone serious about DevOps
Whether you're starting out or leveling up, this program meets you where you are. No prior DevOps experience is required.
Start from zero — finish job-ready with a portfolio to prove it.
How enrollment works
From enquiry to job-ready in four steps
Talk to an advisor
Share your goals & background. We help you pick the right batch and answer every question.
Reserve your seat
Confirm your enrollment and get access to the learning portal and pre-course material.
Learn by building
Attend live sessions, complete hands-on labs and ship real projects with mentor guidance.
Get job-ready
Finish your capstone, polish your resume & LinkedIn, and practise interviews with our team.
Career & interview support
We don't stop at the last lesson
From your first mock interview to your signed offer, you get hands-on support to land the role.
Learner stories
Careers changed, one deployment at a time
“The labs felt like a real job. I deployed on Kubernetes, broke things, and learned to fix them — that confidence showed in my interviews.”
Sample Learner
DevOps Engineer (placeholder)
“The AI track set this apart. Building a RAG assistant and an incident-triage agent gave me projects nobody else in my interviews had.”
Sample Learner
Cloud & SRE (placeholder)
“I came in from a support role with zero DevOps background. The mentors and mock interviews made the switch actually happen.”
Sample Learner
Career switcher (placeholder)
FAQ
Questions, answered
Do I need prior DevOps experience to join?
No. The program starts from Linux, networking and version-control foundations and builds up to advanced Kubernetes, cloud and AI topics — so freshers and career switchers can follow along comfortably.
Is the training hands-on or theory-based?
It's 100% hands-on. Every module includes live demonstrations, guided labs and real deployment exercises on production-style environments, plus capstone projects you can showcase to employers.
How is AI integrated into the course?
You'll use AI throughout — ChatGPT and GitHub Copilot to script and troubleshoot faster, and you'll build RAG applications, deploy LLMs, and create AI agents and MCP integrations that automate real DevOps operations.
What roles can I target after completing the program?
Graduates target DevOps Engineer, Platform Engineer, Cloud/SRE and AIOps Engineer roles, with market salary bands ranging from ₹6 LPA up to ₹30 LPA depending on experience and role.
Do you provide interview and placement support?
Yes. You get mock interviews, frequently-asked DevOps questions, scenario-based troubleshooting practice, plus resume and LinkedIn optimization to help you interview with confidence.
Will I get support if I get stuck?
Absolutely. You'll have access to a learner community, live Q&A sessions and dedicated mentorship from experienced DevOps professionals throughout the program.
Learn. Build. Automate. Deploy.
Transform your career with AI-Powered DevOps
Talk to our team about batches, fees and your career goals — or request a call back and we'll walk you through everything.
- Free 1-on-1 career counselling
- Flexible weekday & weekend batches
- EMI options available