Microsoft Azure
Azure Functions, containers, AKS, networking, storage, identity, Azure DevOps and monitoring.
CLOUD PLATFORMS · SKILLCLOUDLABS
Azure, AWS & Google Cloud Labs
Hands-on cloud infrastructure, developer and DevOps labs for instructor-led programs.
Build real cloud workflows with appropriately scoped identities, budgets and hands-on exercises.
AzureAWSGoogle CloudDockerKubernetesTerraformCI/CDIAM
CAPABILITIES & LEARNING TRACKS
Built around real hands-on outcomes.
We can configure the following technology components based on the course outline, licensing, regional availability and desired cohort size.
Amazon Web Services
EC2, IAM, S3, Lambda, CloudFormation, VPC and application delivery.
Google Cloud
BigQuery, Cloud Run, Dataflow, Dataproc, Pub/Sub, Vertex AI and storage.
Infrastructure & DevOps
Docker, Kubernetes, Git, pipelines, infrastructure as code and deployment workflows.
Identity and guardrails
Trainee accounts, role-based permissions, resource controls and quota-aware provisioning.
Training support
Access guides, connection validation, reset workflows and end-of-session cleanup.
DESIGNED FOR YOUR COHORT
From brief to learner-ready.
Example engagement: Cloud certification course, developer workshop or DevOps bootcamp. We align environments to the exercises, operating systems, learner access and schedule, then validate the setup before delivery.
01 Share the syllabus, dates and cohort count
02 Confirm tool versions, identities and licenses
03 Prepare and validate learner environments
04 Share access instructions and support plan
Need a lab tailored to your course?
Tell us the program scope, trainee count and required technology stack. We'll help plan a practical lab environment.