Ansible Cloud Automation Training
This 3-day training covers cloud infrastructure automation with Ansible across AWS, Azure, and GCP. Participants learn to provision, configure, and manage cloud resources using Ansible collections, integrate with Terraform for infrastructure-as-code workflows, manage containers in the cloud, configure networking, handle secrets, and implement multi-cloud patterns. Every module is reinforced with hands-on labs using real cloud accounts.
Bridge the gap between configuration management and cloud provisioning with this 3-day course. Learn to use Ansible collections to automate infrastructure across AWS, Azure, and GCP — from provisioning VMs and networks to managing cloud-native services.
Training Details
| Duration | 3 days (24 hours) |
| Level | Intermediate |
| Delivery | In-person, Live online, Hybrid |
| Certification | N/A |
Who Is This For?
- Ansible users extending automation to cloud platforms
- Cloud engineers adding Ansible to their toolset
- DevOps teams managing hybrid or multi-cloud environments
- Infrastructure engineers automating cloud provisioning
Learning Outcomes
After completing this training, participants will be able to:
- Provision and manage cloud resources using Ansible collections
- Automate AWS, Azure, and GCP infrastructure end to end
- Build dynamic inventories from cloud provider APIs
- Manage cloud networking, storage, and compute with playbooks
- Implement cloud-specific patterns and best practices
- Integrate Ansible cloud automation into CI/CD pipelines
Detailed Agenda
Day 1: AWS Automation
Module 1: Ansible and Cloud Providers
- Cloud automation patterns with Ansible
- Authentication and credential management
- Ansible collections for cloud providers
- Hands-on: Set up cloud provider authentication
Module 2: AWS with amazon.aws Collection
- EC2 instances, security groups, and key pairs
- VPC, subnets, and networking components
- S3 buckets, IAM roles, and policies
- Hands-on: Provision a complete AWS environment
Module 3: AWS Advanced Patterns
- Dynamic inventory with aws_ec2 plugin
- CloudFormation integration
- EKS and RDS automation
- Hands-on: Build dynamic inventory and manage AWS services
Day 2: Azure and GCP Automation
Module 4: Azure with azure.azcollection
- Resource groups, VMs, and networking
- Azure Storage and Key Vault
- AKS and Azure SQL automation
- Hands-on: Provision Azure infrastructure with Ansible
Module 5: GCP with google.cloud Collection
- Compute Engine, VPC, and firewall rules
- Cloud Storage and Cloud SQL
- GKE cluster automation
- Hands-on: Automate GCP resource provisioning
Module 6: Dynamic Inventories
- Cloud-specific inventory plugins
- Composing inventories across providers
- Inventory caching and performance
- Hands-on: Build multi-cloud dynamic inventories
Day 3: Multi-Cloud Patterns
Module 7: Multi-Cloud Automation
- Abstracting cloud differences with roles
- Variable structures for multi-cloud deployments
- Consistent naming and tagging strategies
- Hands-on: Deploy the same application across two clouds
Module 8: Network and Security Automation
- Cloud network peering and VPN automation
- Security group and firewall management
- Certificate and secrets management
- Hands-on: Automate cross-cloud networking
Module 9: CI/CD Integration
- Running Ansible in CI/CD pipelines
- State management and drift detection
- Ansible vs Terraform — when to use each
- Hands-on: Integrate cloud automation into a deployment pipeline
Prerequisites
- Ansible Fundamentals or equivalent experience
- Basic understanding of at least one cloud platform (AWS, Azure, or GCP)
- Familiarity with cloud networking concepts
Delivery Formats
| Format | Description |
|---|---|
| In-Person | On-site at your company's location, hands-on with direct interaction |
| Live Online | Interactive virtual sessions with screen sharing and real-time labs |
| Hybrid | Combination of on-site and remote sessions, flexible scheduling |
All formats include hands-on labs, course materials, and post-training support.
Ready to get started?
Request a training quote for your team — in-person, live-online, or hybrid.