SURAT · INTERNSHIP
DevOps & AI Engineering Professional
Cloudaura Academy
Surat · onsite · Posted 49d ago
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Undisclosed5–10 yrsinternshipSurat
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Section · 01
About this role
DevOps & AI Engineering Course with Placement Support
As Surats leading institute for DevOps & AI Engineering training, SkillPlus Academy offers hands-on Docker, Kubernetes, CI/CD, and MLOps learning - available both offline and live online. Our industry-aligned curriculum covers real-world tools and projects using Jenkins, Terraform, GitHub Actions, and AIOps, providing the practical skills employers demand. With included internships and placement support, we ensure you are job-ready for high-paying DevOps and AI Engineering roles globally.
Fetching DevOps & AI Engineering Jobs Hiring Now in India
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Duration: 20 Weeks Mode: Live Online
CI/CD & Kubernetes Hands-on Projects & Assignments Industry + Job Ready Lifetime LMS Access
Indian Residents
34,999
Overseas Std.
$499
Become an Expert: DevOps & AI Engineering Course Overview & Scope
SkillPlus Academy is Surats most trusted DevOps and AI Engineering training institute, covering CI/CD Pipeline Development, Container Orchestration with Kubernetes, Infrastructure as Code using Terraform, and MLOps for AI model deployment - with hands-on real-world projects and live labs for practical expertise. Our mentor-driven curriculum - updated for 2026 industry demands including AIOps, GitOps, and AI-assisted infrastructure automation - prepares you for high-demand roles like DevOps Engineer, MLOps Engineer, Site Reliability Engineer (SRE), and Cloud Automation Engineer in todays fastest-growing technology sector.
DevOps & AI Engineering: Comprehensive Training Modules & Syllabus
Month 1 Linux Mastery & Version Control
Module 1
Linux Mastery
File System, Permissions & Networking
File System Hierarchy & Permissions
chmod, chown, and User Management in Linux environments Advanced Command Line Tools
grep, awk, sed, find, and ssh for real-world DevOps tasks Networking & Storage
LVM (Logical Volume Manager), Port Forwarding, and IP tables Module 2
Git & GitHub for DevOps
Version Control & Team Collaboration
Version Control with Git
Branching strategies (Gitflow), Merging, and Rebase Advanced Git Techniques
Stashing, Cherry-picking, and resolving merge conflicts GitHub Collaboration
Pull Requests, Code Reviews, and GitHub Secrets management Month 2 Shell Scripting & Docker Containerization
Module 3
Shell Scripting & Automation
Loops, Functions & Real-world Scripts
Automation Logic
Loops, Conditionals, and Functions in Shell scripting Real-world Automation Scripts
Log rotation, Backup automation, and System monitoring scripts Module 4
Docker Deep-Dive
Containers, Networking & Docker Compose
Container Lifecycle
Images, Containers, and Docker Daemon management Advanced Dockerfiles
Layer optimization and Multi-stage builds for production Networking & Volumes
Bridge networks and persistent data storage configuration Docker Compose
Multi-container orchestration for microservices architecture Month 3 Kubernetes & Advanced Orchestration
Module 5
Kubernetes Core
Architecture, Pods & Deployments
Kubernetes Architecture
Control Plane, Etcd, Kubelet, and Worker Nodes explained Kubernetes Objects
Pods, Deployments, ReplicaSets, and Namespaces hands-on Module 6
Production Kubernetes
Security, Scaling & Advanced Concepts
Networking & Ingress
Services (ClusterIP, NodePort, LoadBalancer) and Ingress Controllers Storage: PV & PVC
Persistent Volumes and Claims for stateful applications Security & Auto-scaling
RBAC, Resource Quotas, and Horizontal Pod Autoscaler (HPA) Advanced Concepts
Helm Charts, Sidecar Containers, and Istio Service Mesh Month 4 Infrastructure as Code (Terraform & Ansible)
Module 7
Terraform (IaC)
HCL Syntax, State Management & Modules
HCL Syntax Fundamentals
Providers, Resources, Variables, and Outputs in Terraform State Management
Remote Backends (S3) and State Locking with DynamoDB Workspaces & Modules
Creating reusable infrastructure components for scalability Module 8
Ansible & Cloud Integration
Configuration Management & AWS EKS
Ansible Playbooks & Roles
Inventory management and automated server configuration Software Update Automation
Automating server configurations and software update pipelines Cloud Integration with AWS
Deploying an AWS EKS Cluster using Terraform end-to-end Month 5 CI/CD Mastery & GitOps
Module 9
Jenkins & DevSecOps
CI/CD Pipelines, SonarQube & Security Scanning
Declarative Pipelines
Shared Libraries and Multi-node Agents in Jenkins DevSecOps Integration
SonarQube code quality, Trivy container scanning, and OWASP checks GitLab CI/CD
Running GitLab Runners and managing Pipeline artifacts efficiently Module 10
GitOps with ArgoCD
Pull-based Deployments & App-of-Apps Pattern
GitOps & Pull-based Deployments
DVAO Principle and introduction to ArgoCD architecture Advanced ArgoCD
App-of-Apps pattern and Automated Image Updating in production Month 6 AI-Driven DevOps & Capstone Project
Module 11
AI Automation & AIOps
LLM Integration, AI Agents & Durable Execution
Setting up Ollama for LLM Integration
Running local Large Language Models for DevOps automation tasks Building AI Agents
Autonomous server troubleshooting agents using AI-driven workflows Durable Execution with Temporal
Reliable Docker AI Agents using Temporal for production workloads Module 12
Mega Capstone Project & Career Prep
AWS EKS + GitOps Pipeline + Mock Interviews
Mega Capstone Project
Deploying a Microservices Retail Store on AWS EKS using full GitOps pipeline (ArgoCD + GitHub Actions) Resume Building & LinkedIn Optimization
Crafting a DevOps-focused resume and optimizing your LinkedIn profile for recruiters Mock Interviews & Placement Support
Real interview simulations with industry-standard DevOps & AI Engineering questions Want the Full Course Curriculum as a PDF
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Future Scope: DevOps & AI Engineering Jobs & Salary Path in Surat
Build and automate the digital infrastructure - move from a Junior DevOps Engineer to a Cloud Architect in 3 professional stages.
01
Entry 0 2 Years
Junior DevOps Engineer / Build & Release Engineer
CI/CD, Docker & Linux Automation
Expected Salary
4 8L
Industry Avg (2026)
Set up and maintain CI/CD pipelines, manage Docker containers, write shell scripts for automation, and assist in cloud deployments on AWS or Azure under senior guidance.
02
Professional 2 5 Years
DevOps Engineer / MLOps Engineer / SRE
Kubernetes, Terraform & AI Pipeline Management
Expected Salary
10 20L
Industry Avg (2026)
Manage Kubernetes clusters, build Infrastructure as Code using Terraform and Ansible, implement GitOps with ArgoCD, and integrate AI-driven automation in production environments.
03
Advanced 5+ Years
Cloud Architect / Head of DevOps / VP Engineering
Leadership, Strategy & AIOps
Expected Salary
25 50L+
Industry Avg (2026)
Design scalable cloud infrastructure for large enterprises, lead DevOps and platform engineering teams, drive AIOps adoption, and define organizational DevOps strategy and best practices.
Salary ranges are indicative based on industry data (2026) sourced from , & . Actual salaries may vary by location, skills & experience.
Common Queries: Everything You Need to Know About DevOps & AI Engineering
01
Prerequisites Basic Python knowledge is helpful but not mandatory to start. We begin with Linux fundamentals and gradually move into scripting, containerization, and AI automation - making it accessible for both freshers and working professionals.
02
Concepts DevOps focuses on automating software development and infrastructure pipelines. MLOps extends these practices specifically for Machine Learning - managing model training, versioning, deployment, and monitoring in production environments. Our course covers both.
03
Practical Training Yes. You will work hands-on with industry-standard tools including Docker, Kubernetes, Jenkins, Terraform, Ansible, ArgoCD, GitHub Actions, and Ollama for AI automation - all on real lab environments and live projects.
04
Certification Absolutely. Our curriculum aligns with globally recognized certifications like AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), and HashiCorp Terraform Associate - giving you a strong foundation to clear these exams.
05
Job Market DevOps and cloud automation roles are among the fastest-growing in Indias IT sector. Companies in Surat and across India are actively hiring DevOps Engineers, SREs, and MLOps Engineers, with salaries starting from 4 8 LPA for freshers and going up to 25 50 LPA for senior roles.
06
Placement Yes. We provide end-to-end placement support - from building your DevOps project portfolio and optimizing your LinkedIn profile to conducting mock interviews and connecting you with our hiring partners across IT and cloud companies.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
AutomationBashTroubleshootingconfiguration managementSSHISOMonitoringComputer NetworksPythonLinux