DevOps & AI Engineering Professional

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.

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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

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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.