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Launch virtual machines, containers, and serverless functions with EC2, Azure VMs, or GCP Compute Engine.
Use S3, Blob Storage, or Cloud Storage along with managed databases like RDS, Cosmos DB, or Cloud SQL.
Build intelligent apps using SageMaker, Azure AI, or Vertex AI with pre-trained models and custom training.
Automate CI/CD with CodePipeline, Azure DevOps, or Cloud Build and monitor with CloudWatch, Monitor, or Stackdriver.
Sign up for AWS, Azure, or GCP and access the cloud console.
Launch compute instances, databases, and storage buckets.
Set up VPCs, firewalls, load balancers, and DNS routing.
Use containers, serverless functions, or CI/CD pipelines to deploy code.
Track usage, set alerts, and auto-scale based on demand.
# AWS CLI Example
aws s3 cp myfile.txt s3://my-bucket/
# Azure CLI Example
az storage blob upload --file myfile.txt --container-name my-container
# GCP CLI Example
gsutil cp myfile.txt gs://my-bucketDeploy scalable web apps using EC2, App Service, or App Engine.
Process big data with Redshift, Synapse, or BigQuery.
Train and deploy models using SageMaker, Azure ML, or Vertex AI.
Set up CI/CD pipelines and infrastructure as code with Terraform or native tools.
Explore AWS / Azure / GCP’s ecosystem and find the tools, platforms, and docs to accelerate your workflow.
Common questions about AWS / Azure / GCP’s capabilities, usage, and ecosystem.