Cloud & DevOps

Beginner to Mastery

Advanced Multi-Cloud DevOps & MLOps Engineer

Transition seamlessly between AWS and Azure.

Hands-on with Terraform, Docker, Kubernetes, and CI/CD pipelines.

Real-world CI/CD pipelines, not just "Hello World."

Learn EKS (AWS) and AKS (Azure) orchestration.

Group Enrollment with Friends or Colleagues
Advanced Multi-Cloud DevOps & MLOps Engineer

Course Duration

600 Hours

Next Batch

08 Feb 2026

Course Material

Live. Online. Interactive.

Stay ahead with AI Infrastructure and Data versioning.

Specialized sessions to connect different cloud concepts

Emphasizes practical, multi-cloud architecting and real-world automation through production-grade DevOps.

Enhances career prospects in specialized roles like Cloud Architect, DevOps Engineer, and MLOps Specialist.

Highlight Advanced Multi-Cloud DevOps & MLOps Engineer

KEY HIGHLIGHTS OF ADVANCED MULTI-CLOUD DEVOPS & MLOPS ENGINEER PROGRAM

  • Weekly sessions with industry professionals
  • Dedicated Learning Management Team
  • 600+ hours of hands-on learning experience
  • Over 150 hours of live sessions for real-time interaction
  • Specialized Bridge Classes for smooth AWS-to-Azure transitions
  • Learn from Cloud Certified Industry Experts
  • More than 20+ industry-related projects and case studies
  • Personalized mentorship sessions with cloud experts
  • 24*7 Support
  • 1:1 Mock Interviews & Portfolio Building
  • Designed for both working professionals and fresh graduates
  • No-Cost EMI Option available
  • High Demand Skillset with Global Career Opportunities
  • Mastery of GitOps, IaC, and AI-Infrastructure

WHY JOIN ADVANCED MULTI-CLOUD DEVOPS & MLOPS ENGINEER PROGRAM?

Comprehensive Cloud Training

Gain expertise across major aspects of AWS and Azure cloud architecture.

Hands-On Automation

Work on real-world projects to develop skills in CI/CD, IaC, and Kubernetes orchestration.

Industry-Relevant Curriculum

Get trained in the latest tools and GitOps workflows currently trending in the industry.

Career Growth

Prepare for specialized roles that offer increased opportunities as the multi-cloud market expands.

The Multi-Cloud Advantage

Don't limit yourself to one cloud. Be the 1% of engineers who can handle both AWS and Azure.

Production-Ready DevOps

Go beyond basic CI/CD. Learn GitOps, Kubernetes, and Infrastructure as Code (IaC).

Next-Gen Tech

First program to include MLOps & AI Infrastructure—the most high-paying skill of 2026.

Zero-to-Hero Labs

Every lecture is followed by a practical lab, ensuring you don't just watch but build.

UPCOMING BATCH:

08 Feb 2026

SkillzRevo

SkillzRevo Solutions

30 MINUTE MEETING

Web conferencing details provided upon confirmation.

Corporate Training, Enterprise training for teams

Batch schedule

BatchBatch Type
Online Live Instructor Led SessionFull-Time
Online Live Instructor Led SessionPart-Time

Regional Timings

BatchBatch Type
IST (India Standard Time)09:00 PM–12:00 AM
Bahrain, Qatar, Kuwait, Saudi Arabia06:30 PM–09:30 PM
UAE / Oman07:30 PM–09:00 PM

Advanced Multi-Cloud DevOps & MLOps Engineer OVERVIEW

This comprehensive program is designed to build strong cloud fundamentals, hands-on administration skills, and production-ready DevOps expertise across AWS, Microsoft Azure, and modern DevOps & MLOps practices. The curriculum follows an industry-aligned, role-based learning path, covering cloud architecture, security, networking, automation, CI/CD, containers, Kubernetes, observability, and AI-driven operations.The program blends conceptual clarity, real-world scenarios, labs, and architecture-driven thinking, enabling learners to confidently manage, design, and operate cloud-native and hybrid environments.

ENROLL NOW, BOOK YOUR SEAT & AVAIL UPTO 30% FEE WAIVER

Enroll Now →

Advanced Multi-Cloud DevOps & MLOps Engineer Objectives

The primary objective of this program is to develop industry-ready Cloud, DevOps, and Platform Engineers with skills that go beyond tools and certifications. The program focuses on practical, job-oriented learning, ensuring learners can work confidently in real enterprise environments. It provides hands-on exposure to AWS, Microsoft Azure, DevOps, Kubernetes, and MLOps, covering how modern cloud platforms are designed, secured, automated, monitored, and scaled in production. Being "JOB-READY" in this program means learners clearly understand when, why, and how to use cloud and DevOps technologies based on real business needs. Through practical labs, real delivery workflows, and production-style scenarios, learners build strong problem-solving and execution skills, preparing them for roles such as Cloud Engineer, DevOps Engineer, SRE, Platform Engineer, and entry-level MLOps professional—with the ability to contribute from day one.

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Why Learn Advanced Multi-Cloud DevOps & MLOps Engineer ?

Industry-Focused Learning

Learn skills based on real enterprise environments, not just theory or certifications.

Multi-Cloud Expertise (AWS & Azure)

Gain hands-on experience with the two most widely used cloud platforms.

End-to-End DevOps Skills

Understand the complete DevOps lifecycle from code to production.

Strong Automation & IaC Foundation

Master Infrastructure as Code using Terraform, ARM, and automation tools.

Containers & Kubernetes at Scale

Build, deploy, and manage containerized applications using Docker and Kubernetes.

Production Monitoring & Reliability

Learn monitoring, logging, and troubleshooting for real production systems.

Serverless & MLOps Readiness

Get exposure to serverless architectures and modern MLOps concepts.

Role-Based Career Preparation

Prepare for Cloud Engineer, DevOps Engineer, SRE, and Platform roles.

Program Advantages

Industry-driven course ensuring up-to-date, in-demand knowledge and skills

Job-ready skills focused on real-world cloud and DevOps work rather than just theory.

Hands-on experience across both AWS and Microsoft Azure environments.

End-to-end learning from cloud fundamentals to DevOps, Kubernetes, and MLOps.

Training aligned with real production architectures and operational practices.

Strong emphasis on automation using Infrastructure as Code and CI/CD pipelines.

Exposure to modern, industry-standard tools and technologies used by real teams.

Curriculum mapped to in-demand roles such as Cloud Engineer, DevOps Engineer, and SRE.

Future-ready skill set with coverage of serverless architectures and MLOps concepts.

Description

Advanced Multi-Cloud DevOps & MLOps Engineer program Certifications

Advanced Multi-Cloud DevOps & MLOps Engineer Curriculum

Lecture 1: AWS Well-Architected Framework - Six Pillars (Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, Sustainability)
Lecture 2: Cloud Economics & Cost Optimization - Fixed Cost vs Variable Cost, CapEx vs OpEx, Rightsizing, Automation Benefits, Managed Services vs Self-Managed
Lecture 3: Migration to AWS & AWS CAF - Cloud Migration Benefits, AWS Cloud Adoption Framework (CAF), Migration Strategies (6 Rs), AWS Snow Family, AWS Migration Hub
Lecture 4: AWS Shared Responsibility Model - AWS vs Customer Responsibility, Responsibility Shift by Service (EC2, RDS, Lambda)
Lecture 5: AWS Security Services Overview - Encryption at Rest & in Transit, AWS Artifact, Compliance Programs, CloudTrail, CloudWatch, AWS Config, Audit Manager
Lecture 6: Identity & Access Management - IAM Users, Groups, Roles, Policies, Least Privilege, Root User Protection, MFA & Federated Access
Lecture 7: Network & Application Security - Security Groups vs NACLs, AWS WAF, AWS Shield, GuardDuty, Inspector, Security Hub, Trusted Advisor
Lecture 8: AWS Compute Services - EC2 Basics, Instance Types, Auto Scaling, Load Balancers, Lambda, Elastic Beanstalk, Lightsail
Lecture 9: Containers & Serverless - Amazon ECS, Amazon EKS, Serverless Architecture Benefits, Containers vs Lambda
Lecture 10: AWS Storage Services - S3 & Storage Classes, S3 Lifecycle Policies, EBS, EFS, FSx, AWS Backup, Storage Gateway
Lecture 11: AWS Database Services - RDS, Aurora, DynamoDB, In-Memory Databases, AWS DMS, AWS SCT
Lecture 12: AWS Networking Services - VPC, Subnets, Route Tables, Gateways, Route 53, AWS VPN, Direct Connect, CloudFront, Global Accelerator
Lecture 13: Analytics Services - Amazon Athena, AWS Glue, Amazon Kinesis, Amazon QuickSight, Amazon Redshift
Lecture 14: AWS Pricing Models - On-Demand, Reserved Instances, Spot Instances, Savings Plans, Data Transfer & Storage Costs
Lecture 15: Cost Management & AWS Support - AWS Budgets, Cost Explorer, Pricing Calculator, AWS Organizations, Support Plans, AWS Marketplace, AWS Partner Network
Lecture 16: Governance & Subscriptions - Azure Subscriptions & Management Groups, Resource Locks, Tags and Cost Tracking, Azure Policy
Lecture 17: Role-Based Access Control (RBAC) - Azure RBAC Concepts, Built-in vs Custom Roles, Scope Management, Best Practices for Access Control
Lecture 18: Azure Administration Tools - Azure Resource Manager (ARM), Azure Portal, Cloud Shell, PowerShell, Azure CLI
Lecture 19: ARM Templates & Automation - ARM Templates Structure, Parameters & Variables, Deployment Modes, Infrastructure as Code Benefits
Lecture 20: Virtual Networking Fundamentals - Azure VNets, Subnets & IP Addressing, Public vs Private IPs, Network Security Groups (NSGs)
Lecture 21: Advanced Networking & DNS - Azure Firewall, Azure DNS, Private vs Public DNS Zones, Network Security Design Patterns
Lecture 22: Intersite Connectivity - VNet Peering, VPN Gateways, Site-to-Site & Point-to-Site VPNs, ExpressRoute & Virtual WAN
Lecture 23: Network Traffic Management - Network Routing & Service Endpoints, Azure Load Balancer (L4), Application Gateway (L7), Traffic Manager
Lecture 24: Designing Azure Network Solutions - Choosing Correct Networking Solutions, High Availability Networking, Network Security Scenarios
Lecture 25: Azure Storage Fundamentals - Storage Accounts, Blob Storage & Containers, Storage Tiers, Storage Security (Keys, SAS, Encryption)
Lecture 26: Azure Files, File Sync & Storage Tools - Azure Files, Azure File Sync, Storage Explorer, Backup and Recovery Basics
Lecture 27: Azure Virtual Machines - VM Planning & Sizing, Creating VMs, Availability Sets & Zones, Virtual Machine Scale Sets (VMSS)
Lecture 28: VM Management & Extensions - VM Extensions, Custom Script Extension, Monitoring VMs, VM Backup Overview
Lecture 29: Serverless & Containers - Azure App Service Plans, Web Apps, Azure Container Instances (ACI), Azure Kubernetes Service (AKS)
Lecture 30: Data Protection & Backup - Azure Backup, Recovery Services Vault, File & Folder Backups, VM Backup & Restore
Lecture 31: Monitoring Azure Infrastructure - Azure Monitor, Metrics & Logs, Azure Alerts, Log Analytics Workspace, Network Watcher
Lecture 32: End-to-End Azure Administration Scenarios - Identity → Networking → Compute → Storage Flow, Real-World Azure Admin Scenarios, Architecture Mapping
Lecture 33: DevOps Foundations & Modern Delivery - DevOps Principles, CI/CD Lifecycle, Agile vs DevOps vs SRE, Toolchain Overview
Lecture 34: Version Control, GitOps & CI Foundations - Git Workflows, Branching & PRs, GitOps Principles, Intro to CI Systems (GitHub, GitLab, Jenkins)
Lecture 35: CI/CD Pipelines - Multi-Tool Implementation - Pipeline Design & Execution, GitHub Actions, GitLab CI, Jenkins, Secure Pipelines & Environment Separation
Lecture 36: Build, Dependency & Artifact Management - Build Automation (Maven/Gradle), Dependency Management, Sonatype Nexus, CI Integration with Artifact Repositories
Lecture 37: Automated Testing in Pipelines - Shift-Left Testing Concepts, Test Stages in CI/CD, pytest for Automated Testing, Quality Gates and Reports
Lecture 38: Infrastructure as Code - Terraform Basics - IaC Concepts & Workflow, Terraform Providers, Resource Provisioning, Local State Management
Lecture 39: Terraform Advanced & Cloud Templates - Terraform Variables, Outputs & Workspaces, Remote State & State Locking, AWS CloudFormation & Terraform Modules
Lecture 40: Configuration Management - Configuration vs Provisioning, Ansible, Puppet, Chef Comparison, Agent vs Agentless Models, Automated Configuration Workflows
Lecture 41: Docker Fundamentals - Containers vs VMs, Images, Containers & Registries, Dockerfiles & Image Optimization, Container Security Basics
Lecture 42: Kubernetes Core Concepts - Kubernetes Architecture, Pods, Deployments, Services, Configuration & Secrets, Scaling and Rolling Updates
Lecture 43: Kubernetes Advanced & Helm - Advanced Kubernetes Deployments, Helm Charts & Templating, Environment-Based Deployments, Release & Rollback Strategies
Lecture 44: GitOps for Cloud & Kubernetes - Declarative Deployment Models, GitOps Workflows, CI vs GitOps CD, Kubernetes GitOps Pipelines
Lecture 45: Observability & Monitoring - Monitoring vs Observability, Prometheus Architecture, Kubernetes Metrics Collection, Grafana Dashboards & Alerts
Lecture 46: Centralized Logging & Reliability - Centralized Logging Concepts, ELK Stack (Elasticsearch, Logstash, Kibana), Fluentd Log Forwarding, Troubleshooting & Alerting
Lecture 47: Serverless & Event-Driven Systems - Serverless Architecture Concepts, Serverless Framework, Event-Driven Workflows, CI/CD for Serverless Applications
Lecture 48: MLOps Foundations - What is MLOps and Why It Exists, DevOps vs MLOps Pipelines, ML Lifecycle from Data to Deployment, CI/CT/CD Concepts
Lecture 49: Data & Model Lifecycle Management - Data Versioning (DVC/Pachyderm), Model Versioning & Storage, Model Registry (MLflow/Kubeflow), Feature Stores Overview
Lecture 50: AI Infrastructure & Production ML Operations - Specialized AI Infrastructure, GPU Orchestration on Kubernetes, AI Monitoring & Observability, Model Drift Detection, Model Interpretability

Advanced Multi-Cloud DevOps & MLOps Engineer Skills Covered

AWS and Azure cloud fundamentals
Cloud security and identity management
Infrastructure as Code (Terraform, ARM)
CI/CD pipelines and automation
Containerization with Docker
Orchestration using Kubernetes
Cloud networking basics
Monitoring, Logging, and observability
Troubleshooting and operating production-grade cloud systems
Serverless and MLOps fundamentals

Advanced Multi-Cloud DevOps & MLOps Engineer Tools Covered

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Advanced Multi-Cloud DevOps & MLOps Engineer Program Benefits

Advanced Multi-Cloud DevOps & MLOps Engineer Program Benefits Illustration

CAREER OPPORTUNITIES AFTER THIS COURSE

Cloud DevOps Engineer Salary Range

Min

$700,000

Average

$1,200,000

Max

$2,200,000

Projects

MASTER CLOUD COMPUTING WITH REAL-WORLD PROJECTS

Comprehensive Multi-Cloud Deployment Experience

Industry-Aligned Advanced Scenarios

Build Enterprise-Grade Production Solutions

Cloud Infrastructure & Architecture
NO. OF PROJECTS: 8
DevOps & Automation
NO. OF PROJECTS: 7
Security, Compliance & FinOps
NO. OF PROJECTS: 5

Capstone Projects of this Program

Enterprise Multi-Cloud Infrastructure Deployment

Design and deploy enterprise-scale applications across AWS, Azure, and GCP using Infrastructure as Code with advanced networking and security configurations.

Advanced CI/CD Pipeline with Multi-Stage Deployment

Build comprehensive CI/CD pipelines using Jenkins and GitHub Actions with multi-environment deployments, automated testing, and rollback strategies.

Production-Grade Kubernetes Cluster Architecture

Deploy, scale, and manage production-ready microservices using Kubernetes with Helm charts, service mesh, and advanced monitoring.

Cloud Security & Compliance Framework Implementation

Implement comprehensive security controls including IAM policies, encryption, network security, and compliance frameworks (GDPR, HIPAA, ISO 27001).

Multi-Cloud Terraform Infrastructure Automation

Automate cloud resource provisioning and management using Terraform across AWS, Azure, and GCP with state management and modular architecture.

Enterprise Disaster Recovery & High Availability Solution

Design and implement enterprise-grade disaster recovery strategy with automated backup, failover mechanisms, and business continuity planning.

FinOps: Cloud Cost Optimization & Management Platform

Analyze and optimize cloud spending using FinOps principles, automated cost management tools, and resource right-sizing strategies.

Serverless Application Architecture with Event-Driven Design

Build scalable event-driven serverless applications using AWS Lambda, Azure Functions, and GCP Cloud Functions with API Gateway integration.

Hybrid Cloud Architecture Integration

Design and implement hybrid cloud solutions connecting on-premises infrastructure with cloud platforms using VPN, Direct Connect, and ExpressRoute.

Advanced Monitoring, Observability & SRE Implementation

Implement comprehensive monitoring and observability solutions using Grafana, Prometheus, and CloudWatch with SRE best practices.

Job Obligation After This Course

WE CAN APPLY FOR JOBS IN

Deploy, manage, and scale cloud infrastructure on AWS and Azure following best practices.

Provision and automate cloud resources using Terraform, ARM Templates, and AWS CloudFormation (IaC).

Design and manage compute, storage, networking, and database services across cloud environments.

Implement CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, and Azure DevOps.

Build, deploy, and manage containerized applications using Docker and Kubernetes (EKS / AKS).

Apply Identity & Access Management (IAM / RBAC), MFA, and least-privilege security controls.

Monitor systems and applications using CloudWatch, Azure Monitor, Prometheus, Grafana, and ELK Stack.

Perform troubleshooting, incident handling, and reliability tasks to ensure high availability.

Implement cost optimization, backup, and disaster recovery strategies in cloud environments.

Support serverless architectures and MLOps foundations, including pipeline deployment and model monitoring.

Companies Hiring for this Course

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Admission Process

The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.

Course Fees & Financing

Course Fees

Upto

30%

Off

In USD

$1,750

In INR

₹1,49,999

Inclusive of All Taxes

Enroll Now →
Payment Partners

We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs.

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UPCOMING BATCHES/PROGRAM COHORTS

BatchDateTime (IST)Batch Type
Weekend Online Live Sessions1st Week of March 2026Saturday & SundayBatch 1
Weekend Online Live SessionsTBDSaturday & SundayBatch 2

COMPARISON WITH OTHERS

FeatureOur CourseCOMPETITOR ACOMPETITOR B
Cloud Platforms CoveredAWS & Azure (True Multi-Cloud)AWS onlyAWS or Azure (single cloud focus)
Cloud Architecture & FoundationsWell-Architected Framework, CAF, Migration StrategiesBasic cloud conceptsLimited architecture exposure
DevOps IntegrationCI/CD, GitOps, Terraform, Docker, Kubernetes (End-to-End)Docker + Jenkins basicsLimited DevOps tools
Infrastructure as Code (IaC)Terraform, AWS CloudFormation, ARM TemplatesBasic IaC conceptsTerraform only
Containers & KubernetesDocker, EKS, AKS, Helm, GitOps deploymentsIntro to containersKubernetes basics only
Monitoring & ReliabilityCloudWatch, Azure Monitor, Prometheus, Grafana, ELKBasic monitoringTool-specific monitoring
Security & GovernanceIAM, RBAC, MFA, Network Security, GDPR, HIPAA, ISO 27001Basic security overviewSecurity covered superficially
Hands-On ProjectsReal-world labs, assignments, capstone & scenariosFew theoretical projectsLimited practical exposure
Faculty ExpertiseIIT Faculty + Certified Industry ExpertsIndustry trainers onlyMixed background
Career & Placement Support24/7 support, mock interviews, career guidanceLimited career supportStandard placement assistance

Official Partnership Recognition

Proud to be a Recognised Skilling Partner of IT-ITeS SSC Nasscom

Partnership Certificate
Verified

Certificate of Partnership

SkillzRevo Solutions Private Limited

Partnership Details

Organization

SkillzRevo Solutions Private Limited

Recognition Status

Recognised Skilling Partner

Certifying Authority

IT-ITeS SSC Nasscom

Validity Period

24/11/2025 - 24/11/2026

FutureSkills Prime Initiative

A MeitY - Nasscom Digital Skilling Initiative empowering professionals with cutting-edge IT skills

Active Partnership

10+

Year Partnership

100%

Certified

Committed to Excellence in Digital Skilling

As a recognized skilling partner, we are dedicated to delivering world-class IT training and development programs aligned with industry standards and government initiatives.

Skill IndiaIT-ITeS SectorNasscom Certified

Frequently Asked Questions