Professional Certification in AI-Native DevOps & Cloud Engineering
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
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)
380 Hours of Live + Self Paced Learning - 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
DevOps Course in Other Cities
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
Linux Fundamentals
• Linux Architecture
• Linux File System
• Linux Distributions
• Shell Environment
• Understanding Processes
• Package Management
• User Management
• Group Management
• File Permissions
• Ownership & Access Controls
Linux Command Line Operations
• Navigation Commands
• File Manipulation Commands
• Process Management Commands
• Network Commands
• Package Installation
• Compression Utilities
• Searching & Filtering
• Monitoring Utilities
Shell Scripting
• Variables
• Conditional Statements
• Loops
• Functions
• Automation Scripts
• Scheduling Jobs using Cron
• Log Processing
• Backup Automation Scripts
SSH & Remote Administration
• SSH Architecture
• SSH Keys
• SCP & File Transfers
• Remote Server Administration
• Secure Connectivity
Hands-on Labs
• Linux Installation & Configuration
• User & Permission Management
• Shell Scripting Exercises
• Cron Job Automation
• Server Connectivity using SSH
. Linux Troubleshooting Exercises
Python Fundamentals for DevOps
• Python Basics
• Variables & Data Types
• Functions
• Loops & Conditions
• Modules & Packages
• File Handling
• Exception Handling
• OOP Concepts
Python Automation
• Infrastructure Automation Scripts
• API Integration Scripts
• Log Parsing Scripts
• Server Monitoring Scripts
• Automation Utilities
YAML & JSON
• YAML Structure
• JSON Structure
• Infrastructure Configuration Files
• Kubernetes YAML Basics
• Terraform Configuration Concepts
Hands-on Labs
• Python Automation Programs
• API Integration using Python
• Infrastructure Utility Scripts
• YAML & JSON Configuration Exercises
Cloud Fundamentals
• Introduction to Cloud Computing
• Benefits of Cloud Computing
• Cloud Service Models
• Cloud Deployment Models
• Public vs Private vs Hybrid Cloud
• Cloud-Native Computing
• Shared Responsibility Model
AWS & Azure Basics
• Global Infrastructure
• Regions & Availability Zones
• Cloud Billing Concepts
• Identity & Access Management Basics
• Virtual Machines
• Cloud Networking
• Cloud Storage
Virtualization & Compute
• Virtual Machines
• Hypervisors
• Cloud Compute Concepts
• Containers vs Virtual Machines
• Resource Allocation
Hands-on Labs
• Launching Virtual Machines
• Cloud Networking Setup
• Storage Configuration
• IAM User Setup
• Cloud Server Access
Version Control Systems
• Overview of Version Control
• Centralized vs Distributed Version Control
• Git Architecture
• Git Workflow
Git Operations
• Installation & Setup
• Git Commands
• Commits & History
• Branching Strategies
• Merging & Rebasing
• Git Stash
• Conflict Resolution
• Tags & Releases
GitHub Engineering
• GitHub Repositories
• Pull Requests
• Collaboration Workflows
• GitHub Actions Overview
• GitHub Portfolio Development
Professional Readiness
• Technical Resume Building
• LinkedIn Optimization
• Engineering Documentation
• Technical Communication
• GitHub Portfolio Engineering
Hands-on Labs
• Git Repository Management
• Branching & Merge Conflict Resolution
• GitHub Collaboration Workflows
• GitHub Portfolio Setup
. Resume Engineering Workshop
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
DevOps Lifecycle
• DevOps Stages
• Agile vs DevOps
• CI/CD Architecture
• Deployment Strategies
• Blue-Green Deployments
• Canary Deployments
CI/CD Fundamentals
• Continuous Integration
• Continuous Delivery
• Continuous Deployment
• Pipeline Automation
• Artifact Management
Jenkins Engineering
• Jenkins Architecture
• Jenkins Installation
• Plugins Management
• Jenkins Administration
• Master-Agent Architecture
• Pipeline as Code
• Shared Libraries
Jenkins Pipelines
• Freestyle Jobs
• Declarative Pipelines
• Scripted Pipelines
• Webhooks Integration
• Build Triggers
• Environment Variables
• Parameterized Builds
Integration & Deployment
• Maven Integration
• Tomcat Deployment
• Automated Testing Integration
• Email Notifications
• Build Monitoring
GitHub Actions
• GitHub Actions Architecture
• Workflow Automation
• CI/CD using GitHub Actions
• Secrets Management
• Multi-stage Workflows
Hands-on Labs
• Jenkins Installation
• CI/CD Pipeline Creation
• GitHub Webhook Integration
• Automated Build & Deployment
• Multi-stage Pipeline Labs
• GitHub Actions Workflow Labs
Kubernetes Fundamentals
• Container Orchestration
• Kubernetes Architecture
• Control Plane Components
• Worker Nodes
• Kubernetes Networking
Kubernetes Core Components
• Pods
• ReplicaSets
• Deployments
• StatefulSets
• DaemonSets
• Jobs & CronJobs
Kubernetes Networking
• Services
• Ingress Controllers
• DNS in Kubernetes
• Network Policies
Kubernetes Storage
• Persistent Volumes
• Persistent Volume Claims
• Storage Classes
• Stateful Workloads
Kubernetes Operations
• Scaling Applications
• Rolling Updates
• Rollbacks
• Resource Management
• Namespaces
• ConfigMaps
• Secrets
Kubernetes Security
• RBAC
• Pod Security
• Cluster Security Basics
• Admission Controllers
Amazon EKS
• EKS Cluster Architecture
• Node Groups
• EKS Networking
• EKS Security
• Cluster Operations
Helm Package Management
• Helm Charts
• Templates
• Releases
• Helm Repositories
Hands-on Labs
• Kubernetes Cluster Setup
• Pod & Deployment Management
• Scaling & Rollback Labs
• Kubernetes YAML Labs
• EKS Deployment Labs
• Helm Deployment Exercises
Terraform Fundamentals
• Infrastructure as Code Concepts
• Terraform Architecture
• Providers
• State Management
• Terraform Workflow
Terraform Configuration
• Variables
• Outputs
• Modules
• Resource Dependencies
• Terraform Functions
• Remote State
Terraform AWS Automation
• EC2 Automation
• VPC Automation
• IAM Automation
• Infrastructure Provisioning
Terraform Best Practices
• Reusable Modules
• Environment Management
• Security Best Practices
• Infrastructure Versioning
Hands-on Labs
• Terraform Installation
• Infrastructure Provisioning Labs
• AWS Resource Automation
• Terraform Modules Lab
. End-to-End Infrastructure Deployment
Configuration Management Fundamentals
- Infrastructure Configuration Management
- Push vs Pull Architecture
- Agentless Automation
Ansible Fundamentals
- Ansible Architecture
- Inventory Management
- Ad-Hoc Commands
- Playbooks
- Variables
- Handlers
- Templates
Advanced Ansible
- Roles & Galaxy
- Conditional Execution
- Loops
- Dynamic Inventory
- Vault Encryption
Hands-on Labs
- Server Automation Labs
- Playbook Creation
- Role-based Automation
- Multi-server Configuration
Monitoring Fundamentals
- Infrastructure Monitoring
- Application Monitoring
- Metrics & Alerting
- Monitoring Architecture
Prometheus
- Prometheus Architecture
- Exporters
- Metrics Collection
- PromQL
- Alert Manager
Grafana
- Dashboard Creation
- Visualization Techniques
- Alerting Dashboards
- Monitoring Integrations
Logging & Observability
- ELK Stack Overview
- Centralized Logging
- Log Analysis
- Distributed Tracing
- Observability Concepts
Hands-on Labs
- Monitoring Stack Setup
- Dashboard Engineering
- Alert Configuration
- Infrastructure Monitoring Labs
DevSecOps Fundamentals
- Security in DevOps
- Shift Left Security
- Secure SDLC
- DevSecOps Pipeline Design
Infrastructure Security
- Cloud Security Fundamentals
- IAM Security Best Practices
- Secrets Management
- Encryption Basics
- Security Hardening
Container Security
- Docker Security
- Kubernetes Security
- Image Scanning
- Runtime Security
Security Automation Tools
- Trivy
- SonarQube
- SAST & DAST
- Policy as Code
- Security Gates in CI/CD
HashiCorp Vault
- Vault Architecture
- Secrets Management
- Dynamic Secrets
- Integration with CI/CD
Hands-on Labs
- Security Pipeline Automation
- Container Security Labs
- Kubernetes Security Labs
- Secrets Management Labs
SRE Fundamentals
- What is SRE
- Reliability Engineering
- SLIs, SLOs & SLAs
- Error Budgets
- Incident Management
Production Engineering
- High Availability Architecture
- Scalability Engineering
- Capacity Planning
- Performance Optimization
- Root Cause Analysis
Incident Management
- Incident Response Lifecycle
- Postmortem Analysis
- Runbooks
- On-call Operations
Chaos Engineering
- Resilience Testing
- Failure Simulation
- Recovery Engineering
Hands-on Labs
- Incident Simulation Labs
- RCA Workshops
- Monitoring & Reliability Exercises
- High Availability Labs
Platform Engineering Fundamentals
- Internal Developer Platforms
- Developer Experience Engineering
- Self-service Infrastructure
- Golden Paths
GitOps Engineering
- GitOps Principles
- Declarative Infrastructure
- Drift Detection
- Continuous Delivery Architecture
ArgoCD
- ArgoCD Architecture
- Application Synchronization
- Rollback Management
- Multi-cluster GitOps
Backstage Platform Engineering
- Backstage Architecture
- Developer Portals
- Service Catalog
- Platform Workflows
Hands-on Labs
- GitOps Deployment Labs
- ArgoCD Synchronization Labs
- Internal Developer Platform Simulation
- Kubernetes GitOps Workflows
Multi-Cloud Architecture
- AWS vs Azure
- Hybrid Cloud Concepts
- Multi-Cloud Networking
- Cloud Interconnectivity
Enterprise Infrastructure Design
- Enterprise Architecture Patterns
- High Availability Design
- Disaster Recovery
- Multi-region Deployments
- Cost Optimization
FinOps Fundamentals
- Cloud Cost Management
- Resource Optimization
- Budgeting & Governance
- Cost Monitoring
Hands-on Labs
- Multi-Cloud Architecture Design
- DR Simulation Labs
- Cloud Cost Optimization Exercises
AI & Machine Learning Foundations
- AI vs ML vs Deep Learning
- Neural Networks Basics
- NLP Fundamentals
- LLM Fundamentals
Generative AI Concepts
- Transformers Overview
- Prompt Engineering
- AI APIs & SDKs
- AI Use Cases in DevOps
OpenAI & Enterprise AI Systems.
- OpenAI APIs
- AI Workflow Automation
- AI Integration Concepts
- Enterprise AI Applications
Hands-on Labs
- Prompt Engineering Labs
- AI Workflow Automation Exercises
- API Integration Labs
AI in DevOps
- AI-Powered CI/CD
- AI-Based Monitoring
- AI for Root Cause Analysis
- AI Incident Prediction
Autonomous Infrastructure Systems
- Self-Healing Systems
- AI-driven Automation
- Intelligent Alerting
- Autonomous Scaling
AI for Kubernetes Operations
- K8sGPT Fundamentals
- AI Cluster Diagnostics
- AI Optimization Recommendations
- AI-assisted Troubleshooting
Hands-on Labs
- AI Monitoring Labs
- Autonomous Infrastructure Simulations
- AI Incident Analysis Labs
LLMOps Fundamentals
- AI Infrastructure Overview
- GPU Infrastructure Basics
- AI Model Deployment
- AI Pipeline Architecture
Vector Databases & RAG
- Embeddings Fundamentals
- Vector Databases
- Retrieval-Augmented Generation
- Enterprise Knowledge Systems
LangChain & CrewAI
- LangChain Fundamentals
- AI Agents
- Multi-agent Workflows
- Autonomous AI Systems
AI Observability
- AI Monitoring
- Prompt Observability
- AI Performance Metrics
- AI Governance Basics
Hands-on Labs
- RAG Pipeline Development
- AI Agent Workflows
- LLMOps Infrastructure Labs
- Enterprise AI Workflow Deployment
AI-Native Engineering Concepts
- AI-Driven Platform Engineering
- Intelligent Infrastructure Automation
- AI-assisted Operations
- AI Service Orchestration
Enterprise AI Deployment
- AI Deployment Pipelines
- AI Service Scaling
- Infrastructure for AI Workloads
- AI Runtime Management
AI Security & Governance
- AI Risk Management
- AI Security Basics
- Compliance Considerations
- Responsible AI Fundamentals
Hands-on Labs
- AI Deployment Pipelines
- AI Platform Automation Labs
- Enterprise AI Infrastructure Exercises
Capstone Track 1 — AI-Powered SRE Platform
- Intelligent Monitoring Platform
- AI Alert Correlation
- Automated Incident Response
- Self-healing Infrastructure
Capstone Track 2 — Autonomous Kubernetes Operations
- AI-assisted Cluster Management
- Kubernetes Optimization
- Intelligent Scaling
- GitOps-driven Infrastructure
Capstone Track 3 — AI Incident Response Platform
- Enterprise Monitoring System
- AI Root Cause Analysis
- Automated Remediation Workflows
Capstone Track 4 — Multi-Cloud Automation Platform
- Infrastructure Provisioning
- Multi-cloud Networking
- Disaster Recovery Automation
Capstone Deliverables
- Architecture Documentation
- GitHub Repository
- Infrastructure Deployment
- CI/CD Pipelines
- Monitoring Dashboards
- Security Integration
- AI Workflow Integration
- Technical Presentation
AI Native DevOps Training Batches
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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
Distinctions and Achievements
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
