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.

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.

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.

What advanced technologies are covered during the training?

Advanced training includes Kubernetes, Helm, Amazon EKS, Terraform, Ansible, Prometheus, Grafana, ELK Stack, HashiCorp Vault, ArgoCD, Backstage, OpenAI APIs, LangChain, CrewAI, K8sGPT, Vector Databases, and Retrieval-Augmented Generation (RAG).

Are there any hands-on projects during the training?

Yes. Learners work on multiple hands-on labs across every module, along with a final Enterprise Capstone Project where they can choose specialization tracks such as AI-Powered SRE Platform, Autonomous Kubernetes Operations, AI Incident Response Platform, or Multi-Cloud Automation Platform.

DevOps Course in Telugu (తెలుగు) with GenAI and Placement support

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

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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

AWS Solutions Architect

Module 2

Linux Fundamentals

Module 3

DevOps Overview

Module 4

DevOps on Cloud (AWS)

Module 5

Managing Source Code – Git and GitHub

Module 6

Understanding and Using Build Tools

Module 7

Continuous Integration Using Jenkins

Module 8

Containerization, Docker, and Docker Hub

Module 9

Container Orchestration Tool - Kubernetes

Module 10

Configuration Automation using Ansible

Module 11

Terraform Overview

Module 12

Continuous Monitoring using Prometheus and Grafana

Module 13

Capstone Projects

Module 14

Overview of Python (Online Self Learning)

Module 15

Microsoft Azure Fundamentals (Online Self Learning)

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

AWS Solutions Architect

Introduction to Cloud Computing
• What is Cloud Computing
• Advantages of Cloud Computing
• Types of Cloud Computing Based on Service and Deployment Models
• Overview of AWS
• Regions and Availability Zones
• Global Infrastructure
Computer Service Overview
• Introduction to Amazon EC2 Amazon EC2
• Part Console Demonstration
• Features of EC2
• AMI Instance Type
• Instance Purchasing Options
• Public IP, Private IP, Elastic IP
• Instance Lifecycle
• Placement Groups
• Security Groups
• Key Pair
• EC2 Product Demonstration (LAB)
• Knowledge Check
Elastic Block Stores
• Introduction to EBS
• Benefits of Having EBS EBS Volume types
• Encryption (Data Security)
• Root and Data Volumes Life Cycle Manager
• AMI vs. Snapshots
• EBS Product Demonstration (LAB)
• Knowledge Check
Note: Practical sessions are integrated with each module for hands-on learning
➢ Elastic File System
• Introduction to EFS
• Comparison between EBS and EFS
• Mount Targets
• Supporting Operating Systems
• Performance and Throughput in EFS
• Benefits of having EFS
• EFS Product Demonstration (LAB)
• Knowledge Check
Simple Storage Service
• Introduction to S3
• Bucket and Object
• Object Versioning
• Server Access Logging
• Multipart Upload
• Object Lock
• Data Encryption
• Static Website Hosting
• Understanding S3 Durability and Availability
• Storage Classes
• Types of Storage Classes
• Life Cycle Management
• Cross Region and Same Region Replication
• Introduction to Cloud Front
• S3 Product Demonstration (LAB)
• Knowledge Check
Virtual Private Cloud
• Introduction to VPC
• Understanding CIDR
• Default and Non-default VPC
• Components of VPC
• VPC and Subnet Sizing
• Security in Amazon VPC
• VPC Flow Logs
• Security Groups
• Network Access Control Lists (NACL)
• Route Tables
Note: Practical sessions are integrated with each module for hands-on learning
• Internet Gateway
• Network Address Translation
• VPC Peering
• Introduction to VPN and Direct Connect
• VPC Product Demonstration (LAB)
• Knowledge Check
Database Services
• Introduction to RDS
• Types of Database Engines in RDS Database Subnet Group
• Database Read Replicas
• Manual and Automatic Snapshots
• Multi-AZ Deployment
• Alternative to RDS
• RDS Product Demonstration (LAB) Introduction to DynamoDB
• Durability and Performance
• Dynamo DB Basic Components Introduction to Elastic Cache Introduction to Redshift
• Data Security & Performance
• Knowledge Check
Route 53
• Introduction to Route 53 Domain
• Registration
• Public and Private Hosted Zone
• Routing Policies
• Types of DNS Servers
• Types of DNS Queries
• Global Accelerator
• Knowledge Check
Identity and access management
• Introduction to IAM
• IAM Features
• Protect your AWS by different authentication system
• AWS User Account and Groups in detail Associating policies to the user and groups
Introduction about Roles and its Use
• Multi Factor Authentication AWS Organization
• IAM Product Demonstration (LAB)
• Knowledge Check
Note: Practical sessions are integrated with each module for hands-on learning
AWS Security Management
• Well Architected Framework – The 5 pillars of AWS
• Describing Trusted Advisor Importance of Cloud Trail
• How Cloud Trail Works
• Cloud Trail Concepts
• Insights Events
• Cloud Trail Event History
• Validating Cloud Trail log file Integrity
• Cloud Watch (Monitoring Service)
• Introduction to Cloud Watch
• How Cloud Watch Works
• Cloud Watch Concepts
• Knowledge Check
Application Integration Service
• Introduction to SNS
• How SNS works
• Topic
• Publishers
• Subscribers
• Introduction to SQS
• Life Cycle of an SQS Message
• SQS Limits
• SQS Retention Period
• Types of Message Queues FIFO Queue
• Standard Queue
• Benefits
• How SQS is different from SNS
• SNS & SQS Product Demonstration (LAB)
• Knowledge Check
Elastic Load Balancer and Auto Scaling
• Introduction to ELB
• Necessity of Load Balancer
• Features of Load Balancer
• Availability Zones and Load Balancer nodes
• Internal and Internet Load Balancer
• Cross Zonal Load Balancer
• DNS setup for ELB
Note: Practical sessions are integrated with each module for hands-on learning
• Introduction to Auto Scaling
• Entities of Auto Scaling
• Auto Scaling Groups
• Manual and Dynamic Scaling
• ELB & ASG Product Demonstration (LAB)
• Knowledge Check
Other Services
• Lambda
• FSx
• Cloud Formation
• Migration Services
• Data Migration
• Snowball
• Snowball Edge
• Snow Mobile
• Database Migration
• Storage Gateway
• File Gateway
• Volume Gateway
• Tape Gateway
• Certificate Manager

Managing Source Code – Git and GitHub

• Overview of Version Control System
• Central vs Distributed Version Control System
• Introduction to Git
• Installation and Setting-up Git
• Important Git Commands
• Creating and Managing git Repositories
• Git File Workflow
• GIT - IGNORE
• GIT Misc Commands
• Reverting and Resetting
• GIT Branching Strategies
• Working with GIT Branching
• Branching, Merging
• Rebase and Squash
• GIT Stash
• Introduction to GitHub
• Managing Remote Repositories
• Handling GitHub repositories using Visual Studio Code

Note: Practical sessions are integrated with each module for hands-on learning

Module 3: DevOps Overview

• Evolution of Waterfall, Agile, and DevOps
• What is DevOps
• Why DevOps
• Benefits of DevOps
• DevOps Stages
• DevOps Lifecycle
• Various Automation in DevOps
• Overview of CICD

Module 4: DevOps on Cloud (AWS)

• Overview of AWS DevOps and Azure DevOps
• Code Build
• Code Commit
• Code Deploy
• Code Pipeline
• Overview of Cloud Formation
Module 5: Managing Source Code – Git and GitHub

• Overview of Version Control System
• Central vs Distributed Version Control System
• Introduction to Git
• Installation and Setting-up Git
• Important Git Commands
• Creating and Managing git Repositories
• Git File Workflow
• GIT - IGNORE
• GIT Misc Commands
• Reverting and Resetting
• GIT Branching Strategies
• Working with GIT Branching
• Branching, Merging
• Rebase and Squash
• GIT Stash
• Introduction to GitHub
• Managing Remote Repositories
• Handling GitHub repositories using Visual Studio Code
Note: Practical sessions are integrated with each module for hands-on learning
Practical’s
• Installation and Configuration of Git
• Creating Git Repositories
• Demonstrating Various Git Repositories
• Merging Branches and Managing Merge Conflicts
• Stashing, Reverting, Rebasing and Resetting
• Collaborating Local and Remote Repositories

Capstone Projects

1. Deployment of 3-Tier Applications Using AWS Services
Domain: Cloud Computing and DevOps
2. Deployment of Online Ticketing and Event Management Applications and Infrastructure
Domain: E-Commerce and Entertainment
3. Deployment of Online Food Ordering and Delivery Application
Domain: Food Delivery and E-Commerce
Overview of Python (Online Self Learning)
“Self-Learning” module videos are available on the LMS dashboard throughout the training
course, allowing you to learn at your own pace and convenience.

• Overview of Python
• Features, Benefits, Uses of Python
• Installation and Setup of Python Environment
• Various Types of Sequences in Python
• File Operations
Note: Practical sessions are integrated with each module for hands-on learning
• Python Functions
• OOPs Concepts
• Modules
• Errors and Exception Handling
• Python Console based application and Web Application using Flask
• Deploying and Consuming Python Applications
Practical’s
• Create a Console based Python Application
• Create a Web Application Using Flask
• Create Python Applications Demo Covering Various Concepts
DevOps with AI (Online Self Learning)
“Self-Learning” module videos are available on the LMS dashboard throughout the training
course, allowing you to learn at your own pace and convenience.

• Introduction to AI and ML
• Role of AI in Cloud Services and DevOps
• AI-Driven Automation Benefits in Cloud and DevOps Workflows
• AI Tools Overview - Generative AI
• AI Tools Overview - Predictive Analysis
• AI Tools Overview - Code Quality and Troubleshooting
• AI for Continuous Monitoring and Anomaly Detection
• Review insights on Potential Optimizations and Security Vulnerabilities
• Fundamentals of K8sGPT to Monitoring, Troubleshooting, and Optimizing Kubernetes
Workloads

Microsoft Azure Fundamentals (Online Self Learning)
“Self-Learning” module videos are available on the LMS dashboard throughout the training
course, allowing you to learn at your own pace and convenience.

• Azure Cloud Concepts
• Azure Cloud Service Types
• Azure Architecture and Services
• Core Architectural Components of Azure
• Azure Compute and Networking Services
• Azure Storage Services
• Azure Identity, Access, and Security
• Cost Management in Azure
• Features and Tools for Governance and Compliance in Azure
• Tools for Managing and Deploying Azure Resources
• Monitoring Tools in Azure

Note: Practical sessions are integrated with each module for hands-on learning

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

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
Project 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.