What certification will I receive after completing this program?

Upon successful completion, learners receive the Professional Certification in AI-Native DevOps & Cloud Engineering. The program is also strategically aligned with globally recognized credentials, including AWS, Azure, CKA, CKAD, HashiCorp Terraform Associate, Docker Certified Associate, and AI Infrastructure certifications, helping you build strong enterprise credibility.

Does Vishleshan I-Hub Foundation IIT Patna provide placement support for this course?

No. Vishleshan I-Hub Foundation IIT Patna or IIT Patna does not provide or manage placements and is not involved in placement assistance. Any placement-related support or assistance is completely handled by StarAgile.

Which industry certifications does this program prepare me for?

The curriculum is mapped to multiple in-demand certifications, including AWS Certified Cloud Practitioner, AWS Certified Solutions Architect – Associate, Microsoft Azure Administrator Associate (AZ-104), Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), HashiCorp Terraform Associate, Docker Certified Associate, Microsoft Generative AI Fundamentals, and NVIDIA AI Infrastructure Fundamentals.

Is the program offered in collaboration with Microsoft and AWS?

Yes, StarAgile offers the program in collaboration with Microsoft and Amazon Web Services (AWS) to help learners gain industry-relevant skills and exposure.

Does the program cover AI-related certifications?

Yes. The advanced modules align with AI-focused credentials such as Microsoft Generative AI Fundamentals, Google Generative AI Learning Path, and NVIDIA AI Infrastructure Certifications, covering Generative AI, LLMOps, AI Infrastructure Engineering, and Autonomous Systems.

How does the certification enhance my career credibility?

The certification validates your ability to design, deploy, and manage modern cloud infrastructure, Kubernetes operations, DevSecOps pipelines, SRE practices, and AI-native systems. This recognition strengthens your profile for enterprise DevOps interviews, cloud architecture discussions, and AI infrastructure engineering roles.

Are there any practical components tied to the certification?

Yes. The certification readiness program is built around enterprise-grade labs, real-world deployment simulations, hands-on capstone projects, and architecture reviews, ensuring learners gain practical experience alongside theoretical knowledge.

What is the total duration of the training program?

The program runs for 9 months (Add on: GCP Certification), totaling 380+ learning hours, divided into 5 phases: Foundation Engineering, Core DevOps & Cloud Engineering, Enterprise DevOps & Reliability, Generative AI & Agentic Infrastructure, and Enterprise Capstone.

How is the training delivered?

The training is delivered through live instructor-led sessions, enterprise-grade labs, real-world workshops, and industry capstone projects, ensuring a balanced mix of conceptual learning and practical implementation.

What topics are covered in the foundation phase?

The Foundation Engineering Bootcamp covers Digital Infrastructure, Software Engineering Foundations, Linux Administration, Python for DevOps, YAML & JSON, Cloud Computing Basics, Git, GitHub, and Professional Engineering Practices, making it suitable for beginners.

Professional Certification in AI-Native DevOps & Cloud Engineering

Placement Assistance

With Generative AI, Agentic AI Systems, & Enterprise Platform Engineering
IIT-aligned AI-Native DevOps & Cloud program
StarAgile Collaboration with Microsoft
Master Kubernetes, Terraform, GitOps, SRE & DevSecOps
Build Generative AI, LLMOps & Agentic AI infrastructure
Aligned with AWS, Azure, CKA, CKAD & Terraform certification
Learn practically with labs, capstones, and also get placement support from StarAgile

Ranked #1 DevOps Training Institute By DNA INDIA.

4.6/5

4.8/5

Looking for Corporate Training?

Key Features
Course Content
Overview
Testimonials
FAQS

AI-Native DevOps & Cloud Engineering - Key Features

380 Hours of Live + Self Paced Learning
IIT-Aligned Curriculum Structure
Beginner-Friendly Learning Pathway
Multi-Entry Flexible Curriculum
Enterprise-Grade Engineering Focus
Kubernetes & GitOps Engineering
Site Reliability Engineering (SRE)

AI-Native Infrastructure Engineering
LLMOps & Autonomous Systems
Hands-on Labs & Enterprise Projects
Placement Assistance & Career Support
Real-World Infrastructure Simulations
Future-Ready AI Engineering Focus

Significant Demand Growth

Annual Salary

Hiring Companies

Available Jobs

560+

Openings for DevOps &
Cloud Engineer roles

DevOps courses provide training on integrating software development and IT operations to improve collaboration, streamline processes, and enhance software delivery. They cover topics like continuous integration, infrastructure as code, and tools such as Docker, Kubernetes, and Jenkins.

Career Transformation

75% Hike

Kishan R

StarAgile's DevOps course has been a game-changer in my career. Transitioning from a sales role to a DevOps Engineer, I achieved a 75% salary hike and am now thriving in my new position

Hear My Story

BDE

BEFORE

DevOps Engineer

AFTER

85% Hike

Vijay Kumar

Curious about DevOps and its tools, I enrolled in StarAgile's program, which provided me with an in-depth understanding of the subject. This knowledge helped me land a role at a startup working on exciting DevOps projects.

Hear My Story

System Engineer

BEFORE

DevOps Engineer

AFTER

1st Job

Kishore PS

My experience with StarAgile was fantastic. The support and resources they provided played a key role in helping me grow in my career. Thanks to the skills I developed through their program, I was able to earn a promotion along with a 100% salary increase.

Hear My Story

Fresher

BEFORE

Cloud Engineer

AFTER

150% Hike

Ankit Sharma

Thanks to StarAgile’s in-depth DevOps course, I received three job offers, including from DataGrokr and Dzylo. Within just six months of completing the course, I was hired as a Cloud DevOps Engineer at IBM, with a 150% salary increase.

Hear My Story

Support Engineer

BEFORE

DevOps Engineer

AFTER

80% Hike

Rithvik Reddy

StarAgile's focused training helped me land my dream job by combining valuable industry insights with hands-on skills

Hear My Story

Customer Service

BEFORE

Automation Engineer

AFTER

1st Job

Sourabh D

The support and faculty at StarAgile were outstanding, making my learning experience both smooth and rewarding. In my honest opinion, for anyone serious about entering the DevOps field, this is the best program to choose.

Hear My Story

Fresher

BEFORE

DevOps Engineer

AFTER

Testimonials

Balchandra Babu

Aravind Ganesh

Ankeet Chauhan

Harsha Satpute

Let's walk you through the journey at StarAgile

Course Curriculum

Our course is designed by industry experts for excellent academic and industrial experience. We have a balanced combination of theoretical, technical, and practical knowledge for you to get the best training experience for everyone regardless of their background.

9 Months

Module 1

Digital Infrastructure & Software Engineering Foundations

Module 2

Linux Administration & Automation Fundamentals

Module 3

Programming & Infrastructure Data Formats

Module 4

Cloud Computing & Infrastructure Basics

Module 5

Git, GitHub & Professional Engineering Practices

Module 6

AWS Cloud & Google Cloud Platform (GCP) Infrastructure Engineering

Module 7

DevOps Lifecycle & CI/CD Engineering

Module 8

Docker & Container Engineering

Module 9

Kubernetes & Cloud-Native Engineering

Module 10

Infrastructure as Code using Terraform

Module 11

Configuration Management using Ansible

Module 12

Monitoring, Logging & Observability Engineering

Module 13

DevSecOps & Cloud Security Engineering

Module 14

Site Reliability Engineering (SRE)

Module 15

Platform Engineering & GitOps

Module 16

Multi-Cloud & Enterprise Infrastructure Architecture

Module 17

Generative AI Fundamentals for Engineers

Module 18

AI-Powered DevOps & Autonomous Infrastructure

Module 19

LLMOps & AI Infrastructure Engineering

Module 20

AI-Native Platform Engineering

Module 21

ENTERPRISE CAPSTONE PROJECT

Module 1
Module 2
Module 3
Module 4
Module 5
Module 6
Module 7
Module 8
Module 9
Module 10
Module 11
Module 12
Module 13
Module 14
Module 15
Module 16
Module 17
Module 18
Module 19
Module 20
Module 21

Digital Infrastructure & Software Engineering Foundations

Topics Covered

Introduction to Modern Software Engineering

• Evolution of Software Engineering

• Traditional Infrastructure vs Cloud-Native Infrastructure

• Understanding Enterprise Systems

• Monolithic vs Microservices Architecture

• Introduction to APIs and Distributed Systems

• Understanding Enterprise Technology Stacks

• SDLC Overview

• Agile, DevOps & Platform Engineering Overview

Networking Fundamentals

• Computer Networks Overview

• OSI Model

• TCP/IP Model

• Public vs Private Networks

• DNS Fundamentals

• HTTP vs HTTPS

• Ports & Protocols

• Load Balancing Basics

• Reverse Proxy Concepts

• CDN Overview

Web & Application Architecture

• Frontend vs Backend

• Web Servers and Application Servers

• Database Fundamentals

• API Architecture

• REST APIs

• Authentication Basics

• JSON & YAML Overview

• Introduction to Containers

DevOps Foundations

• What is DevOps

• Evolution of DevOps

• Benefits of DevOps

• DevOps Lifecycle

• DevOps Culture & Collaboration

• CI/CD Overview

• Infrastructure Automation Overview

• Cloud-Native Ecosystem Overview

Hands-on Labs

• API Testing using Postman

• Networking Simulation Labs

• Client-Server Communication Exercises

• Application Architecture Visualization

• Linux Server Connectivity Labs

AWS Cloud & Google Cloud Platform (GCP) Infrastructure Engineering

6A. AWS Cloud Infrastructure Engineering

AWS Global Infrastructure

• AWS Global Infrastructure

• Regions & Availability Zones

• Edge Locations

• Shared Responsibility Model

• AWS Management Console

• AWS CLI

Amazon EC2

• EC2 Overview

• Instance Types

• AMIs

• Public & Private IPs

• Elastic IP

• Placement Groups

• Security Groups

• Key Pairs

• Instance Lifecycle

• Auto Recovery

• Purchasing Options

Elastic Block Storage (EBS)

• EBS Fundamentals

• Volume Types

• Snapshots

• Encryption

• Performance Optimization

• Backup Strategies

Elastic File System (EFS)

• EFS Architecture

• Performance Modes

• Throughput Modes

• EFS Security

• EFS Use Cases

Amazon S3

• Buckets & Objects

• Versioning

• Lifecycle Policies

• Encryption

• Storage Classes

• Replication

• Static Website Hosting

• S3 Security

Amazon VPC

• VPC Fundamentals

• CIDR & Subnetting

• Public & Private Subnets

• Route Tables

• Internet Gateway

• NAT Gateway

• Security Groups

• NACLs

• VPC Peering

• VPN & Direct Connect

AWS Database Services

• RDS Overview

• DynamoDB Basics

• ElastiCache

• Redshift Overview

• Database Backups & Replication

Route 53 & DNS

• DNS Fundamentals

• Hosted Zones

• Routing Policies

• Health Checks

• Global Accelerator

Identity & Access Management (IAM)

• IAM Users & Groups

• Policies & Roles

• MFA

• AWS Organizations

• Security Best Practices

Monitoring & Security

• CloudWatch

• CloudTrail

• AWS Config

• Trusted Advisor

• Security Monitoring

AWS Integration Services

• SNS

• SQS

• Lambda

• Event-Driven Architecture

Elastic Load Balancing & Auto Scaling

• Load Balancer Types

• Auto Scaling Groups

• Scaling Policies

• Health Checks

• High Availability Architecture

Infrastructure Automation Services

• CloudFormation

• Systems Manager

• Migration Services

• Storage Gateway

Hands-on Labs

• EC2 Deployment Labs

• VPC Architecture Setup

• S3 Hosting Labs

• IAM Security Configuration

• ELB & Auto Scaling Labs

• Database Deployment Labs

. Monitoring & Logging Labs

6B. Google Cloud Platform (GCP) Infrastructure Engineering

Introduction to GCP

• GCP Global Infrastructure

• Regions & Zones

• Edge Network Architecture

• Shared Responsibility Model

• GCP Console

• Cloud Shell

• gcloud CLI

• Organizations, Folders & Projects

• Billing Accounts

• IAM Fundamentals

• Service Accounts

• Roles & Permissions

• Labels & Tags

Compute Engineering

• Compute Engine

• Machine Types

• Persistent Disks

• Managed Instance Groups

• Autoscaling

• Preemptible VMs

• Shielded VMs

• Global Load Balancers

• Traffic Distribution

• CDN Integration

GCP Networking Engineering

• Global VPC Architecture

• Subnets & CIDR Planning

• Firewall Rules

• Cloud NAT

• Private Google Access

• Cloud VPN

• Cloud Interconnect

• Shared VPC

• Cloud DNS

• Hybrid Connectivity

Storage & Database Engineering

• Cloud Storage

• Storage Classes

• Lifecycle Policies

• Object Versioning

• Cloud SQL

• AlloyDB

• Bigtable

• Firestore

• Memorystore

Google Kubernetes Engine (GKE)

• GKE Architecture

• Autopilot vs Standard Clusters

• Node Pools

• Workload Identity

• Cluster Autoscaler

• Ingress on GKE

• Service Mesh Basics

• Artifact Registry

• Image Vulnerability Scanning

DevOps & Observability on GCP

• Cloud Build

• Cloud Deploy

• Artifact Registry

• CI/CD Pipelines

• Cloud Monitoring

• Cloud Logging

• Managed Prometheus

• Centralized Logging

• Error Reporting

Vertex AI & AI Infrastructure Engineering

• Vertex AI Fundamentals

• Gemini APIs

• Prompt Engineering

• Model Garden

• Vector Search

• RAG Pipelines

• AI Agents

• MLOps Fundamentals

• GPU Infrastructure

• AI Deployment Pipelines

• AI Cost Optimization

Security & Governance

• Security Command Center

• IAM Best Practices

• Secrets Manager

• Key Management Service (KMS)

• Binary Authorization

• Policy Controller

• Compliance & Governance

• Organization Policies

Updated Multi-Cloud Engineering Enhancements

• AWS vs Azure vs GCP Comparative Architecture

• Cross-cloud Kubernetes Operations

• Anthos Overview

• Multi-cloud GitOps

• Cross-cloud IAM

• FinOps Across Cloud Providers

• AI Workload Placement Strategy

Career Track

Once you have enrolled for the program then you will have access to a wide range of resources which will help you in becoming a Job-Ready Candidate. We have a dedicated placement team of professionals who excel in their individual domains committed to assist you in our journey.

1 Month

Profile and Resume building

Business Communication

Competency Test

Mock Interviews

Profile and Resume building
Business Communication
Competency Test
Mock Interviews

Profile and Resume building

Profile and Resume building
Portfolio Building
Build highly optimized Resumes and Cover Letters
Build your LinkedIn Profile

95%

Placements

12 LPA

Average CTC

50 LPA

Highest CTC

300+

Hiring Partners

80%

Average Hike

Corporate Training

The work force is your asset. Up-Skill them with our Corporate Training Programs!

Unleash In-Demand Skills Across the Enterprise
Align Skill Development with Business Objectives

Drive Increased Employee Productivity
Leverage Immersive Learning

Top Hiring Companies

Professional Certification in AI-Native DevOps & Cloud Engineering Overview

Unlock a future-ready career with a 9-month (Add on: GCP Certification) IIT-aligned curriculum covering Cloud, DevOps, Kubernetes, GitOps, SRE, and AI-native infrastructure systems.

The Professional Certification in AI-Native DevOps & Cloud Engineering is an advanced enterprise-focused certification program designed to prepare learners for modern cloud infrastructure,Kubernetes operations, DevSecOps, Site Reliability Engineering, Platform Engineering, AI-powered operations, and autonomous infrastructure systems.

This curriculum is designed using a premium IIT-aligned engineering structure combining:

Cloud Infrastructure Engineering
DevOps & Automation
Kubernetes & GitOps
Platform Engineering
Site Reliability Engineering (SRE)
DevSecOps & Security Automation
Multi-Cloud Architecture
Generative AI & Agentic AI Systems
LLMOps & AI Infrastructure Engineering
AI-Powered Infrastructure Automation

The program focuses heavily on:

Enterprise-grade labs
Real-world deployment simulations
Infrastructure troubleshooting
Production engineering
AI-native infrastructure systems
Enterprise architecture design
Hands-on capstone implementation

Certificates

AI-Native DevOps and Cloud Engineering Certificate
Internship Certificate
Course Certificate
Microsoft Certificate

Skills Covered

Application Development Fundamentals
Structured Query Language (SQL)
Linux Fundamentals
AWS Fundamentals
DevOps Overview
Managing Source Code – Git and GitHub
Understanding and Using Build Tools
Continuous Testing with Selenium

Continuous Integration Using Jenkins
Containerization, Docker, and Docker Hub
Configuration Management Using Ansible
Container Orchestration Using Kubernetes
Monitoring and Logging Using Nagios
Infrastructure as Code (IaC) Using Terraform
Continuous Deployment Using AWS Services

Tools Covered

Capstone Projects

AI-Powered SRE Platform

•Intelligent Monitoring Platform •AI Alert Correlation •Automated Incident Response •Self-healing Infrastructure

Autonomous Kubernetes Operations

•AI-assisted Cluster Management •Kubernetes Optimization •Intelligent Scaling •GitOps-driven Infrastructure

AI Incident Response Platform

•Enterprise Monitoring System •AI Root Cause Analysis •Automated Remediation Workflows

Multi-Cloud Automation Platform

•Infrastructure Provisioning •Multi-cloud Networking •Disaster Recovery Automation

AI-Native DevOps & Cloud Engineering - Training & Certification FAQs

Distinctions and Achievements

Explore the milestones of our journey!

Best Skill Learning
Institute of the Year

The Education Excellence Award
by Brands Impact

Edutech Company
of the Year

The Education Awards by
The Corporate Titan

Institute with the
Best Placement

The Education Awards
by Mantra

About Professional Certification in AI-Native DevOps & Cloud Engineering

Professional Certification in AI-Native DevOps & Cloud Engineering is an advanced enterprise-focused program designed to prepare learners for modern cloud infrastructure, Kubernetes operations, DevSecOps, Site Reliability Engineering, Platform Engineering, AI-powered operations, and autonomous infrastructure systems. Structured on a premium IIT-aligned engineering framework, this 9-month (Add on: GCP Certification) program combines Cloud Infrastructure Engineering, DevOps Automation, Kubernetes, GitOps, Multi-Cloud Architecture, Generative AI, LLMOps, and AI Infrastructure Engineering. With 380+ learning hours, live instructor-led sessions, enterprise-grade labs, and real-world deployment simulations, learners gain hands-on expertise in infrastructure troubleshooting, production engineering, and AI-native systems. The program also includes industry capstone projects and placement assistance, making it ideal for freshers, working professionals, and experienced engineers seeking to become future-ready.

Benefits of Professional Certification in AI-Native DevOps & Cloud Engineering

Discover how StarAgile turns your learning journey into a career-defining opportunity with expert guidance, hands-on training, and end-to-end certification support.

How StarAgile Helps You Earn the Professional Certification in AI-Native DevOps & Cloud Engineering

StarAgile provides a structured, hands-on learning path that empowers learners to confidently master AI-Native DevOps and Cloud Engineering. Through its premium IIT-aligned curriculum, learners gain deep exposure to enterprise-grade infrastructure, automation, and AI-powered systems, ensuring they are fully prepared to step into modern engineering roles. With expert mentorship, real-world simulations, and a learner-first approach, StarAgile makes the journey to becoming a future-ready engineer smooth and impactful.

What's Included in the Course and Training:

A 5-phase structured program covering Foundation Engineering, Core DevOps & Cloud Engineering, Enterprise DevOps & Reliability, Generative AI & Agentic Infrastructure, and Enterprise Capstone
Foundation Bootcamp covering Linux, Networking, Python, YAML, JSON, Git, and Cloud basics
Core engineering modules on AWS, CI/CD with Jenkins & GitHub Actions, Docker, Kubernetes, and Terraform
Enterprise modules on Ansible, Monitoring with Prometheus & Grafana, DevSecOps, SRE, GitOps with ArgoCD, and Multi-Cloud Architecture
Advanced modules on Generative AI, LLMOps, Vector Databases, RAG, LangChain, CrewAI, and AI-Native Platform Engineering
Enterprise simulations, production outage labs, and reliability engineering scenarios

Benefits for Professionals:

Develops job-ready skills in cloud, automation, Kubernetes, and AI infrastructure
Strengthens enterprise credibility with exposure to FinOps, Chaos Engineering, and Autonomous Systems
Enhances technical interview readiness through Kubernetes debugging, system design, and incident management workshops
Builds a strong GitHub portfolio and LinkedIn presence through dedicated career support
Equips professionals to lead AI-driven infrastructure transformations across IT, finance, healthcare, and AI-driven enterprises

Key Skills You Will Master

The Professional Certification in AI-Native DevOps & Cloud Engineering equips learners with a powerful blend of enterprise-grade engineering skills that prepare them for modern infrastructure and AI-driven roles.

Cloud Infrastructure Engineering
DevOps & Automation
Kubernetes & GitOps
Platform Engineering
Site Reliability Engineering (SRE)
DevSecOps & Security Automation
Multi-Cloud Architecture
Generative AI & Agentic AI Systems
LLMOps & AI Infrastructure Engineering
AI-Powered Infrastructure Automation

Tools & Technologies Covered

Learners gain hands-on expertise across a wide range of industry-leading tools and technologies used in enterprise DevOps, Cloud, and AI infrastructure environments.

Cloud Platforms: AWS, Microsoft Azure
Operating Systems & Scripting: Linux, Shell Scripting, Python
Version Control & CI/CD: Git, GitHub, GitHub Actions, Jenkins
Containers & Orchestration: Docker, Docker Compose, Docker Swarm, Kubernetes, Helm, Amazon EKS
Infrastructure as Code: Terraform, Ansible, CloudFormation
Monitoring & Observability: Prometheus, Grafana, ELK Stack
Security & DevSecOps: HashiCorp Vault, Trivy, SonarQube, SAST & DAST
GitOps & Platform Engineering: ArgoCD, Backstage
AI & LLMOps: OpenAI APIs, LangChain, CrewAI, K8sGPT, Vector Databases, RAG Pipelines

Career Outcomes — Job Roles

Graduates of this program are equipped to step into a wide range of high-demand roles across cloud, DevOps, and AI-driven infrastructure domains.

DevOps Engineer
Cloud Engineer
Kubernetes Administrator
Site Reliability Engineer
Platform Engineer
DevSecOps Engineer
Cloud Automation Engineer
Infrastructure Reliability Engineer
AI Infrastructure Engineer
AI DevOps Engineer
Platform Reliability Engineer
MLOps Engineer
Cloud Platform Architect

Placement & Career Acceleration

StarAgile goes beyond training by offering dedicated career support to help learners transition smoothly into rewarding roles in the industry.

Career Support Services:

Resume Engineering Workshops
GitHub Portfolio Development
LinkedIn Optimization
Mock Technical Interviews
Technical Communication Training
Career Mentorship Sessions

Technical Interview Preparation:

Linux Interview Preparation
Kubernetes Interview Workshops
Cloud Architecture Interview Preparation
DevOps Troubleshooting Rounds
AI Infrastructure Interview Preparation

Placement Assistance:

Dedicated Placement Support
Hiring Partner Network
Industry Referrals
Career Guidance Sessions
Interview Coordination

Comprehensive Training Solutions for Enterprises

Comprehensive training solutions to empower enterprises with skills needed for growth and innovation. Tailored programs to boost productivity and improve workforce capabilities.