Live credentialsAzure Cloud Sandbox – Build, Deploy & Master Cloud Solutions
- Real Azure portal access
- Isolated account
- No cloud bill
- Auto clean-up
Practice in Real Environment
Overview
ScholarHat Azure Sandbox
Learn, experiment, and build with Microsoft Azure in a safe, isolated, and controlled environment.
ScholarHat Azure Sandbox gives you the freedom to learn and experiment with Microsoft Azure in a fully isolated, risk-free environment. Spin up virtual machines, allocate resources, and explore a wide range of Azure services with complete control. There are no limits—you can launch as many VMs as you need and test any hardware or service configuration to match your learning goals.
Whether you’re experimenting with new ideas or practicing real-world scenarios, ScholarHat Azure Sandbox is the safest, most flexible way to master Azure hands-on.
Key Features of Azure Sandbox
Hands-On Learning
Try setting up any Azure Services and learn by configuring yourself. You are free to learn with Azure sandboxes that are set up to function in an isolated environment without hindering other Azure users.
Risk-Free Learning
Try anything you want to do with the Microsoft Azure environment with no risk. Do not worry about any misconfigurations. Everything you try in Azure sandboxes enriches your learning.
Maximum Exposure to Azure Platform
Azure cloud sandboxes are a great way to demo the Microsoft Azure platform and learn what you can do in a real environment.
No Hidden Charges
You can experiment with any Azure services at any number of times without any additional (or) hidden charges.
Zero Infrastructure Cost
Our Azure sandboxes help fasten your learning in Microsoft Azure. There is no Azure infrastructure setup cost in our ScholarHat sandbox environment.
Technical Support
Reach our tech-support team, whenever you felt stuck on accessing any Azure resources. We are happy to help!
Supported Azure Services
Access a comprehensive range of Azure services in your sandbox environment. All services are pre-configured and ready to use.
Compute
- Virtual Machines
- VM Scale Sets
- App Service
- Container Instances
- Azure Functions
Storage
- Blob Storage
- File Storage
- Table Storage
- Queue Storage
- Disk Storage
Database
- SQL Database
- Cosmos DB
- PostgreSQL
- MySQL
- Redis Cache
Networking
- Virtual Network
- Load Balancer
- VPN Gateway
- Azure Firewall
Containers
- Kubernetes Service
- Container Registry
- Container Apps
- Container Instances
App Services
- Web App
- Function App
- APIM
- Logic App
Messaging
- Service Bus
- Event Grid
Security
- Key Vault
- Security Center
- Sentinel
Azure Sandbox Guidelines
- Resource GroupA default resource group is automatically created. You cannot create a new resource group. Use the provided resource group for all activities.
- Session DurationResources are available only during the active session. When the session ends, the environment, resources, and data are automatically removed.
- Microsoft AuthenticatorYou must use the Microsoft Authenticator app to authenticate each time you start a new sandbox session.
- Practice OnlyThe sandbox is intended only for learning and practice. Do not use it for production workloads.
- Limited PermissionsAccess is limited to the services, resources, regions, and operations enabled for the sandbox. Some Azure features may not be available.
- Quotas & RegionsResource creation may be subject to size, quantity, and region restrictions. Use only the supported Azure regions and available quotas.
- Session ResetEach new session starts with a fresh environment. Resources and configurations from previous sessions will not be available.
Important: These limitations help us optimize costs and provide a safe, controlled, and affordable environment for hands-on practice.
Practice on other platforms too
Live credentials AWSAWS AI Cloud Sandbox
AWS Cloud Sandbox – Overview The ScholarHat AWS Cloud Sandbox offers a fully isolated and secure environment for hands-on learning and experimentation with Amazon Web Services. Whether you're working with AWS Lambda, Elastic Beanstalk, Amazon EKS, RDS, or DevOps tools, the sandbox provides complete flexibility to build, test, and deploy applications. Key features include: AWS Services Access : Utilize a wide range of AWS developer tools and services including serverless apps, APIs, containers, databases, and CI/CD pipelines. Full Control : Configure resources and infrastructure to match your specific learning or prototyping needs. Safe & Isolated : Operate in a dedicated AWS environment without affecting production workloads. Experiment Freely : Ideal for testing ideas, building prototypes, and gaining real-world experience in a risk-free setting. If you're looking to explore the full potential of AWS Developer Services in a secure, flexible, and hands-on environment, the ScholarHat AWS Cloud Sandbox is your go-to platform. AWS Sandbox Guidelines AWS Account & Resources : Use the AWS account and resources provided by the sandbox for all activities. Do not attempt to create or use additional AWS accounts. Session Duration : Resources are available only during the active sandbox session. When the session ends, the sandbox environment, resources, and data may be automatically removed. Authentication : Follow the authentication method provided by the sandbox platform whenever you start a new sandbox session. Practice Only : The sandbox is intended only for learning, practice, and experimentation. Do not use it for production workloads or business-critical applications. Limited Permissions : Access is limited to the AWS services, resources, regions, and operations enabled for the sandbox. Some AWS features may not be available. Quotas & Regions : Resource creation may be subject to service quotas, resource limits, account restrictions, and supported-region restrictions. Use only the AWS regions and resources available in the sandbox. Resource Limits : Use AWS resources responsibly and create only the resources required for the lab or learning activity. Avoid unnecessary resource consumption. Session Reset : Each new session may start with a fresh environment. Resources, configurations, and data from previous sessions may not be available. Important: These limitations help us optimize costs and provide a safe, controlled, and affordable environment for hands-on AWS practice.
- Real AWS portal access
- Guided hands-on practice
- Auto clean-up, no cloud bill
Live credentials AWSAWS Cloud Sandbox
AWS Cloud Sandbox – Overview The ScholarHat AWS Cloud Sandbox offers a fully isolated and secure environment for hands-on learning and experimentation with Amazon Web Services. Whether you're working with AWS Lambda, Elastic Beanstalk, Amazon EKS, RDS, or DevOps tools, the sandbox provides complete flexibility to build, test, and deploy applications. Key features include: AWS Services Access : Utilize a wide range of AWS developer tools and services including serverless apps, APIs, containers, databases, and CI/CD pipelines. Full Control : Configure resources and infrastructure to match your specific learning or prototyping needs. Safe & Isolated : Operate in a dedicated AWS environment without affecting production workloads. Experiment Freely : Ideal for testing ideas, building prototypes, and gaining real-world experience in a risk-free setting. If you're looking to explore the full potential of AWS Developer Services in a secure, flexible, and hands-on environment, the ScholarHat AWS Cloud Sandbox is your go-to platform. AWS Sandbox Guidelines AWS Account & Resources : Use the AWS account and resources provided by the sandbox for all activities. Do not attempt to create or use additional AWS accounts. Session Duration : Resources are available only during the active sandbox session. When the session ends, the sandbox environment, resources, and data may be automatically removed. Authentication : Follow the authentication method provided by the sandbox platform whenever you start a new sandbox session. Practice Only : The sandbox is intended only for learning, practice, and experimentation. Do not use it for production workloads or business-critical applications. Limited Permissions : Access is limited to the AWS services, resources, regions, and operations enabled for the sandbox. Some AWS features may not be available. Quotas & Regions : Resource creation may be subject to service quotas, resource limits, account restrictions, and supported-region restrictions. Use only the AWS regions and resources available in the sandbox. Resource Limits : Use AWS resources responsibly and create only the resources required for the lab or learning activity. Avoid unnecessary resource consumption. Session Reset : Each new session may start with a fresh environment. Resources, configurations, and data from previous sessions may not be available. Important: These limitations help us optimize costs and provide a safe, controlled, and affordable environment for hands-on AWS practice.
- Real AWS portal access
- Guided hands-on practice
- Auto clean-up, no cloud bill
Live credentials AzureAzure AI Cloud Sandbox
Azure AI Cloud Sandbox – Overview The ScholarHat Azure AI Cloud Sandbox offers a fully isolated and secure environment for hands-on learning and experimentation with Microsoft Azure AI services. Whether you're exploring Azure OpenAI , Azure AI Foundry , Computer Vision , or Azure AI Search , the sandbox provides full freedom to create, manage, and test services. Key features include: AI Services Access : Deploy and experiment with any number of Azure AI services. Full Control : Configure resources and hardware to match your specific learning or prototyping needs. Safe & Isolated : Operate in a dedicated Azure environment without affecting production workloads. Experiment Freely : Ideal for testing ideas, building prototypes, and gaining real-world experience in a risk-free setting. If you're looking to explore the full potential of Azure AI in a controlled and flexible environment, the ScholarHat Azure AI Cloud Sandbox is your ideal platform. Azure AI Sandbox Guidelines Resource Group : A default resource group is automatically created. You cannot create a new resource group. Use the provided resource group for all Azure AI activities. Session Duration : Azure AI resources are available only during the active sandbox session. When the session ends, the environment, resources, and data are automatically removed. Microsoft Authenticator : You must use the Microsoft Authenticator app to authenticate each time you start a new sandbox session. Practice Only : The sandbox is intended only for learning, experimentation, and practice. Do not use it for production AI workloads or business-critical applications. Limited Permissions : Access is limited to the Azure AI services, resources, regions, models, and operations enabled for the sandbox. Some Azure AI features may not be available. Quotas & Regions : AI resource creation and model usage may be subject to quotas, size, quantity, capacity, and region restrictions. Use only the supported Azure regions and available quotas. AI Model Usage : Access to AI models and services may be limited by the sandbox configuration, available capacity, usage limits, or supported deployments. Session Reset : Each new session starts with a fresh environment. Azure AI resources, model deployments, configurations, and data from previous sessions will not be available. Important: These limitations help us optimize costs and provide a safe, controlled, and affordable environment for hands-on Azure AI practice.
- Real Azure portal access
- Guided hands-on practice
- Auto clean-up, no cloud bill
Frequently asked questions
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