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.
2200+ Working Professionals Transformed
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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
Why Enterprise DevOps & Kubernetes Skills Are Transforming Careers
40-65%
DevOps Engineer Salary Uplift
$850B Annually
Enterprise Cloud Transformation Spend
87%
Kubernetes Adoption in Enterprises
16+ Deploys/Day
DORA Elite Performer Deployment Frequency
THE SKILLS GAP
127,000 unfilled
Advanced DevOps & Kubernetes specialist roles in India (2026 forecast)
DevOps Engineer Demand vs. Talent Supply
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

Enterprise DevOps & Kubernetes Master Syllabus
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.
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.
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.
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.
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.
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.
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.
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.
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.
Trusted By Learners
“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.”
“IntelliBI's teaching and mentor support boosted my confidence in interviews. Their structured learning made my prep more effective.”
“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. ”
Tools & Technologies You'll Master
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
Advanced Artificial Intelligence Course
For Working Professionals
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
Machine Learning Course
For Working Professionals
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
Generative AI Course
For Working Professionals
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
IntelliBI Has Helped Build 2200+ Careers
"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 "
"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."
"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."
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
No FAQs have been added for this course yet.
What Our Students Say

PySpark : Live Session Feedback
What Our Learners Say
Lead Data Architect 11+ Years | PwC

Azure & Databricks : Live Session Feedback
What Our Learners Say
Principal Data Engineer 10+ Years | EY

Career Transformation Stories
From Self-Doubt to Success.
Watch Transformation Stories

Python : Live Session Feedback
What Our Learners Say
Senior Data Engineer 8+ Years | KPMG

SQL : Live Session Feedback
What Our Learners Say
Principal Data Analyst Ex-Accenture
Choose Your Learning Path
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
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