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Multi-Cloud DevOps Engineering Course in Pune

Master production-grade DevOps, Kubernetes orchestration, multi-cloud infrastructure automation, GitOps delivery, and platform engineering—designed for cloud architects, infrastructure engineers, and enterprises building resilient cloud-native platforms.

Build Enterprise Kubernetes with stateful/stateless clustering, auto-scaling & persistent storage
Master Multi-Cloud IaC: Terraform, OpenTofu & Terragrunt across AWS, Azure & GCP
Implement Enterprise DevSecOps: shift-left security, Cosign, Kyverno & Falco runtime defense
Deploy Progressive GitOps: ArgoCD, Argo Rollouts & automated canary traffic shifting
Build IDPs with Backstage & Crossplane for self-service infrastructure APIs
Master Observability & SRE: OpenTelemetry, Prometheus, Grafana & SLO-driven incidents
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Multi-Cloud DevOps Engineering: The Skills Powering Modern Cloud Infrastructure

InfoQ

Cloud and DevOps Trends 2026: Platform Engineering, Kubernetes and Cloud-Native Infrastructure Take Center Stage

Northflank

Multi-Cloud Kubernetes Becomes a Standard Enterprise Requirement in 2026

CIO | Economic Times

Enterprise Kubernetes Management Expands Across Multi-Cloud and Hybrid Environments

Google Cloud

Google Cloud Next ’26 Highlights the Shift Toward Unified Cloud, AI and Multi-Cloud Platforms

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MARKET REALITY

Why Enterprise DevOps & Kubernetes Skills Are Transforming Careers

THE SKILLS GAP

127,000 unfilled

Advanced DevOps & Kubernetes specialist roles in India (2026 forecast)

DevOps Engineer Demand vs. Talent Supply

Industry Demand
Available Talent

Generative AI adoption is accelerating. Every enterprise needs AI engineers who can
build and deploy production systems.

Multi-Cloud DevOps Engineering Course in Pune

Looking for industry-focused Enterprise DevOps training for real-world cloud infrastructure, Kubernetes orchestration, and DevOps transformation? IntelliBI offers a comprehensive Enterprise DevOps & Kubernetes Master Course in Pune, designed for cloud engineers, infrastructure professionals, software developers, platform engineers, and technology leaders to master production-grade DevOps, multi-cloud architecture (AWS/Azure/GCP), and internal developer platforms.

STUDENT WORKLOAD

300 Hours

DURATION

5-6 Months

MODE

Classroom + Live Online + Recordings

Reserve Your Seat
Multi-Cloud DevOps Engineering Course

Enterprise DevOps & Kubernetes Master Syllabus

Module 1 Linux, Shell Scripting & Version Control Foundations
Module 2 Docker & Containerization Fundamentals
Module 3 Kubernetes for DevOps Engineers
Module 4 CI/CD Pipelines & Release Automation
Module 5 Infrastructure as Code with Terraform & Ansible
Module 6 AWS DevOps & Cloud Engineering
Module 7 Azure DevOps & Cloud Engineering
Module 8 Google Cloud DevOps & SRE Practices
Module 9 Observability, DevSecOps & Incident Management
Module 10 Generative AI & AIOps for DevOps Engineers

Module 1 - Linux, Shell Scripting & Version Control Foundations

Every DevOps discipline downstream — containers, pipelines, cloud, IaC — sits on top of a Linux command line and a version-controlled codebase, so engineers build fluency here first.

Linux File System Hierarchy & Core Commands
User, Group & Permission Management (chmod, chown, sudo)
Process Management & System Monitoring (ps, top, systemctl)
Package Management (apt, yum, dnf)
Shell Scripting Fundamentals: Variables, Loops & Conditionals
Advanced Bash Scripting: Functions, Arguments & Error Handling
Cron Jobs & Task Scheduling
Networking Basics: SSH, DNS, Firewalls & Ports
GitHub/GitLab Collaboration & Code Review Practices
TOOLS & TECHNOLOGIES:
Linux (Ubuntu/CentOS)Bash Git GitHub GitLab SSH
PROJECTS:

Real Multi-Cloud DevOps Projects You’ll Build

Mini-Capstone Projects

CI/CD & Containers | End-to-End Application Deployment Pipeline

Build a production-style CI/CD pipeline that containerizes a multi-tier application with Docker, automates build-test-deploy stages in GitHub Actions/Jenkins, and deploys to Kubernetes. Implement automated test gates, container image scanning, and blue-green deployment with rollback.

Docker Kubernetes GitHub Actions Jenkins Helm Blue-Green Deployment

Infrastructure as Code | Multi-Environment AWS Infrastructure Automation

Design and provision dev/staging/prod AWS infrastructure using reusable Terraform modules, remote state, and workspaces, with policy-as-code guardrails and a plan/apply approval gate wired into CI.

Terraform AWS IAM VPC Remote State Policy as Code

Observability | Centralized Monitoring & Alerting Stack

Stand up a Prometheus + Grafana + ELK observability stack across a Kubernetes cluster. Build custom dashboards, define SLO-based alert rules, and route alerts into an incident-response workflow.

Prometheus Alerting Grafana ELK Stack Kubernetes SLO/SLI

Advanced Capstone Projects

Enterprise Multi-Cloud | Hybrid AWS-Azure-GCP DevOps Platform

Architect a unified DevOps platform spanning AWS, Azure, and GCP: cross-cloud provisioning with Terraform, a centralized GitOps workflow via ArgoCD, federated identity, disaster recovery, and unified cost governance.

Multi-Cloud Terraform GitOps ArgoCD Disaster Recovery IAM Federation

Site Reliability Engineering | Enterprise SRE & Incident Management Platform

Run an SRE practice around a production microservices system: define SLIs/SLOs and error budgets, automate incident detection and on-call alerting, build runbooks and postmortem automation, and validate resilience with chaos engineering.

SRE SLO/SLI Error Budgets Chaos Engineering Incident Management Kubernetes

DevSecOps | Secure Software Supply Chain Platform

Implement shift-left security across the pipeline: SAST/DAST scanning, container and dependency vulnerability scanning, secrets management with HashiCorp Vault, policy enforcement via OPA/Gatekeeper, and SBOM generation for supply-chain provenance.

DevSecOps SAST/DAST HashiCorp Vault OPA/Gatekeeper SBOM Supply Chain Security

Generative AI | AIOps Incident Triage & Root-Cause Assistant

Build an AI operations assistant that ingests logs, metrics, and alerts, uses an LLM-based RAG pipeline to summarize incidents and suggest root causes, and drafts remediation runbooks straight into the on-call Slack/Teams workflow.

Generative AI RAG LLMOps Vector Database Prometheus Kubernetes

Platform Engineering | Internal Developer Platform (IDP) with Self-Service Provisioning

Design an internal developer platform with a Backstage-style service catalog, self-service Kubernetes namespace and infra provisioning via Terraform + GitOps, and golden-path CI/CD templates that cut new-team onboarding time.

Platform Engineering Backstage Kubernetes GitOps Terraform Developer Experience

Trusted By Learners

Google
4.9/5 • 1,200+ Verified

“At IntelliBi Innovations Technologies, the Data Analyst course focused on Microsoft Azure and Power BI . The program is well-designed, providing a solid understanding of cloud-based analytics. Through hands-on Power BI training, practical skills are sharpened, and with Azure services,Python, PySpark, and SQL included, participants are well-prepared for real-world challenges. I highly recommend it for anyone looking to succeed in data analytics with Microsoft technologies.”

Shubham Kale
Data Analyst · clover infotech
Reddit
4.5/5 • 1,200+ Verified

“IntelliBI's teaching and mentor support boosted my confidence in interviews. Their structured learning made my prep more effective.”

Shubhangi Tanpure
Data Analyst · Infosys
JustDial
4.5/5 • 1,200+ Verified

“I work as a finance analyst in Hinjewadi and joined the Power BI course to improve reporting skills. The course was practical, project-oriented, and easy to follow. The trainer explained every topic with business examples. After completing the training, I received a better opportunity and now work extensively with Power BI dashboards. ”

amol bhagat
Azure Data Engineer · Infosys
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Tools & Technologies You'll Master

Kubernetes (K8s)
docker
Terraform
Helm v3
Azure AKS
GCP GKE
Prometheus
Grafana
Kubernetes (K8s)
docker
Terraform
Helm v3
Azure AKS
GCP GKE
Prometheus
Grafana
Kustomize
ArgoCD
GitHub Actions
AWS EKS
Azure DevOps
LangChain
Google Cloud Build
Kustomize
ArgoCD
GitHub Actions
AWS EKS
Azure DevOps
LangChain
Google Cloud Build

Why High-Performing Cloud Engineers Choose IntelliBI for Enterprise DevOps Training

Feature

Hands-On Lab Hours

Multi-Cloud Coverage

Industry Expert Mentors

Placement Support

DevSecOps Training

GitOps & SRE

AI-Augmented DevOps

Enterprise Capstones

IntelliBI

320+ hours

WS/Azure/GCP

15+ years expert

95% success Rate

Full module

Comprehensive

Agentic AI, LLMOps

8 production projects

OTHERS

200 hours

1-2 clouds

Instructors

Job board listings or career services

Not covered OR Limited

Basic

Not available

Simulations or Case studies

Courses Designed for Upscaling Professionals

Online/Offline/ Hybrid Program Become Microsoft AI-103 & AI-300 Certified

Advanced Artificial Intelligence Course

For Working Professionals

Course Duration 5-6 Months
Starts 7 September 2026

Course Highlights

  • Complete Roadmap: Python → SQL → ML → Deep Learning → Gen AI → RAG → Agentic AI → MLOps
  • 20+ Enterprise AI Applications including AI Copilots, RAG Systems & Multi-Agent AI
  • Hands-on with OpenAI, Claude, Gemini, Llama, LangChain, LangGraph, CrewAI & MCP
  • Production AI Deployment using FastAPI, Docker, Kubernetes & MLflow
Enroll Now
Online/Offline/Hybrid Program Become Microsoft AI-300 Certified

Machine Learning Course

For Working Professionals

Course Duration 2-3 Months
Starts 7 September 2026

Course Highlights

  • Python, SQL, Statistics, Machine Learning & Deep Learning
  • Predictive Analytics, NLP, Computer Vision & Recommendation Systems
  • Hands-on with Scikit-Learn, TensorFlow, PyTorch & Hugging Face
  • Enterprise Projects across Banking, Healthcare, Retail & Insurance
Enroll Now
Online/ Offline/ Hybrid Program Become Microsoft AI-103 Certified

Generative AI Course

For Working Professionals

Course Duration 2-3 Months
Starts 7 September 2026

Course Highlights

  • Master LLMs, Prompt Engineering, RAG, AI Agents & MCP
  • Build AI Copilots, Enterprise Search & Intelligent Automation Solutions
  • Hands-on with OpenAI, LangChain, LangGraph, CrewAI, Hugging Face & Vector Databases
  • Deploy Production AI Applications with FastAPI, Docker & Cloud Platforms
Enroll Now
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IntelliBI Has Helped Build 2200+ Careers

Shubham Kale

Shubham Kale

LinkedIn
↑120%

Data Analyst · clover infotech

PRE INTELLIBI Fresher
POST INTELLIBI Data Analyst

"When I visited IntelliBI, it became clear in my mind about the full roadmap of data analytics and how real-time projects look. Classes were conducted according to their roadmap; in it there were some mock interviews. Later, I was provided with basic to advanced knowledge about courses and real-time projects. I thank the entire IntelliBi team. and thank you for this opportunity "

120% Salary Hike after IntelliBI
Vishnu Mali

Vishnu Mali

LinkedIn
↑120%

Data Analyst . Datafortune

PRE INTELLIBI IT Support
POST INTELLIBI Data Engineer

"After spending four years in IT Support, I wanted a career with better growth and technical exposure. IntelliBI's Data Analyst Course in Pune helped me master Azure, Databricks, and real-world data engineering through hands-on projects, expert mentorship, and placement support. Today, I work as a Data Analyst , building production-grade data pipelines with confidence and making architecture decisions that drive business value."

120% Salary Hike after IntelliBI
Sonali Bhagat

Sonali Bhagat

LinkedIn
↑90%

Data engineer . NewVision

PRE INTELLIBI Web Developer
POST INTELLIBI Data Engineer

"As a Web Developer, I wanted a career with greater growth and opportunities in cloud technologies. IntelliBI's Data Engineering Course in Pune provided hands-on Azure, Databricks, and real-world data pipeline projects, along with expert mentorship and placement support. Today, I work as a Data Engineer, building scalable cloud data solutions and confidently driving enterprise data engineering initiatives with a future-ready career path."

90% Salary Hike after IntelliBI
Become Our Next Success Story

9+ Years of Excellence in AI, Data

2200+

Careers Transformed

₹15–70 LPA

Career Growth Potential

95%

Learner Success Rate

20+

Enterprise AI Projects

Hands-On Lab-Intensive Curriculum

More than 320 hours of production-grade labs building real Kubernetes clusters, multi-cloud infrastructure, and GitOps pipelines with live troubleshooting in simulated outage scenarios.

Enterprise-Focused Architecture

Learn well-architected framework principles, DORA metrics, landing zone design, and production SRE practices from architects who've transformed Fortune 500 engineering organizations.

Multi-Cloud DevOps Mastery

ecome fluent in AWS (EKS, Karpenter, CodePipeline), Azure (AKS, DevOps Pipelines, Entra), and GCP (GKE Autopilot, Cloud Build) with dedicated specialization modules and cloud-specific capstones.

AI-Powered Operations (AIOps & LLMOps)

Master autonomous incident management, AI-assisted code generation, and LLMOps infrastructure—future-proof your DevOps career with AI agent development and prompt engineering.

Portfolio-Building Capstone Projects

Build 8 production-grade GitHub repositories that serve as interview portfolio pieces: multi-cloud platforms, IDP systems, autonomous AI agents, and enterprise landing zones.

Frequently Asked Questions

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Live Online

Instructor-Led Training

Master enterprise DevOps through live training, hands-on infrastructure labs, expert mentorship, and dedicated career support.

Complete DevOps Roadmap: Linux → Docker → Kubernetes → Terraform → CI/CD → GitOps → SRE → Platform Engineering → AI/LLMOps

320+ Hours of Hands-On Labs with real-world infrastructure challenges and live troubleshooting

8 Enterprise Capstone Projects building production GitHub repositories (microservices platforms, IDP systems, autonomous agents)

Multi-Cloud Specializations: AWS (EKS, CodePipeline), Azure (AKS, DevOps Pipelines), GCP (GKE, Cloud Deploy)

Enterprise DevSecOps: SAST/SCA/DAST scanning, Cosign image signing, Kyverno policies, Falco eBPF runtime defense

GitOps & Progressive Delivery: ArgoCD ApplicationSets, Argo Rollouts canary traffic shifting, Istio service mesh

Observability & SRE: OpenTelemetry, Prometheus/Grafana SLO dashboards, chaos engineering, incident command

AI-Augmented Operations: Autonomous SRE agents, LLMOps infrastructure, vLLM GPU inference, MCP protocol development

Mock Interviews, Resume Building, Lifetime LMS Access & Dedicated Placement Assistance

Mon–Fri 7PM–9PM | Sat–Sun 10AM–2PM

Next batch starting soon — limited seats

LIMITED SEATS

Know Fees

Talk To Career Expert

SELF-PACED

Recorded Self-Paced

Structured LMS learning with expert mentor guidance, enterprise infrastructure labs, and end-to-end career support.

320+ Hours of Full HD recorded lectures by industry-leading DevOps architects

Same enterprise DevOps learning path as live training with lifetime access

8 Enterprise Capstone Projects with guided implementation and code reviews

26 Specialized Modules covering AWS, Azure, GCP, Kubernetes, Terraform, DevSecOps, Platform Engineering, AIOps

Multi-Cloud Deep-Dives: AWS EKS + Karpenter, Azure AKS + Entra, GCP GKE + Autopilot

DevSecOps to production: Cosign signing, Kyverno policies, Falco runtime monitoring, Vault secrets

GitOps & Canary Deployments: ArgoCD, Argo Rollouts, Istio, progressive delivery strategies

Observability & SRE: OpenTelemetry instrumentation, Prometheus alerting, Grafana SLO dashboards

Weekly Mentor Reviews, Code Reviews, and project guidance from industry experts

Resume Building, Mock Interview prep, and Dedicated Placement Assistance

Lifetime LMS Access + Free quarterly course updates covering latest DevOps tools

Start anytime, learn at your own pace

Lifetime access with free course updates