Our Tools Utilized
AWS Cloud
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Amazon EC2 Instances
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Amazon Virtual Private Cloud (VPC)
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AWS CloudFormation
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AWS Lambda
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Amazon Relational Database Service (RDS)
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AWS Identity and Access Management (IAM)
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Amazon Simple Storage Service (S3)
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AWS GuardDuty
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AWS Elastic Load Balancer (ELB)
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AWS CloudWatch and CloudTrail
Azure Cloud
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Virtual Machines (VMs)
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Microsoft Entra ID
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Microsoft Sentinel
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Microsoft Defender for Cloud
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Azure Load Balancer
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Azure Resource Manager (ARM)
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Azure Monitor
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Azure Storage
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Azure SQL Server
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Azure Kubernetes Service (AKS)
Google Cloud Platform
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Google Compute Engine
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Google Cloud Identity and Access Management (IAM)
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Google Cloud Deployment Manager
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Google Cloud Storage
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Google Cloud Observability
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Google Virtual Private Cloud (VPC)
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Google Cloud SQL
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Google Cloud Functions
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Google Cloud Load Balancing
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Google Security Command Center (SCC)
Core DevOps & Infrastructure Tools
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PowerShell
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Bash
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Terraform
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Kubernetes
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GitHub
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Docker
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Linux
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Windows Server
Launch Your Career as a
Multi-Cloud Engineer
Scarstack’s intensive training transforms you into a certified Multi-Cloud Engineer, combining hands-on labs and real-world scenarios to help you confidently navigate AWS, Azure, and GCP environments. You’ll gain deep expertise across IaaS, PaaS, and SaaS; master Compute, IAM, and Infrastructure as Code (IaC); and build solutions in Storage, Security, Networking, Monitoring, Databases, Serverless, Scripting, Content Delivery Networks (CDN), and modern cloud security frameworks like CSPM, EDR, CTI and CWPP.
AWS Cloud
In this AWS training module, you’ll gain hands-on expertise in launching EC2 instances, architecting secure VPC networks, automating deployments with CloudFormation, running serverless apps with Lambda, managing databases with RDS, configuring access with IAM, storing data on S3, strengthening security with GuardDuty, balancing workloads with ELB, and monitoring infrastructure using CloudWatch and CloudTrail.
Azure Cloud
In this Azure training module, you’ll learn to provision and manage Virtual Machines, configure identity access with Entra ID, monitor threats with Microsoft Sentinel, enhance cloud security using Microsoft Defender, distribute traffic via Azure Load Balancer, deploy infrastructure using Azure Resource Manager, gain insights with Azure Monitor, store data in Azure Storage, manage Azure SQL Server, and orchestrate containers using Azure Kubernetes Services .
Google Cloud Platform
In this Google Cloud training module, you’ll master the deployment of virtual machines with Compute Engine, manage user access using Cloud IAM, automate resources via Deployment Manager, store data with Cloud Storage, monitor systems through Google Observability, build secure networks with VPC, run databases using Cloud SQL, deploy serverless functions with Cloud Functions, and safeguard workloads using Security Command Center.
Syllabus
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Launch and manage scalable virtual machines using EC2 Instances
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Design secure and isolated networks with VPC
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Automate infrastructure deployment via CloudFormation
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Build and deploy serverless functions using AWS Lambda
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Configure and operate managed databases with Amazon RDS
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Control user permissions and access using AWS IAM
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Store and retrieve data securely using Amazon S3
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Detect threats and enhance cloud security with AWS GuardDuty
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Distribute traffic efficiently with Elastic Load Balancer (ELB)
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Monitor, log, and audit cloud resources using CloudWatch & CloudTrail
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Create and manage scalable compute resources with Azure Virtual Machines (VMs)
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Control identities and access using Microsoft Entra ID (Azure AD)
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Detect and respond to threats using Microsoft Sentinel (SIEM/SOAR)
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Protect workloads with Microsoft Defender for Cloud
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Balance network traffic efficiently using Azure Load Balancer
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Automate deployments with Azure Resource Manager (ARM)
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Monitor infrastructure and applications using Azure Monitor
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Store, archive, and secure data with Azure Storage
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Deploy and manage relational databases using Azure SQL Server
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Run and scale containerized apps with Azure Kubernetes Service (AKS)
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Launch and manage virtual machines with Google Compute Engine
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Set roles and access policies using Google Cloud IAM
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Automate infrastructure with Deployment Manager
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Store and retrieve data efficiently with Google Cloud Storage
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Gain visibility into performance using Google Observability tools
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Build secure, scalable networks via Google VPC
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Deploy managed databases with Google Cloud SQL
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Run lightweight, event-driven code using Google Cloud Functions
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Distribute application traffic globally with Cloud Load Balancing
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Protect resources and monitor threats using Security Command Center (SCC)
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Cloud-based Infrastructure Architect
Multi-Cloud Consultant
About the Training
Weekly Classes, in the evenings
Four hour Classes per week
Payment Plans available
Two Classes weekly, each two hours3 Months IT Training
Practical Hands on
Mock Interview on Last week of TrainingWeekly Practical Labs with grading
Recorded classes for easy re-learn
Mock interviews to prep studentsFree Resume Building
Interview tips and tricks
Job placement assistance
On the job support for 2 months