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🔄 Automation Expert Track Intermediate–Advanced Red Hat Technology

Ansible for IT
Automation

Master enterprise IT automation with Ansible — from writing your first playbook to managing thousands of nodes with AWX and Ansible Automation Platform. Learn AI-assisted playbook generation, dynamic inventories, Ansible Vault, and integration with CI/CD pipelines for true infrastructure automation.

schedule45 Hours
science22+ Labs
workspace_premium3 Real Projects
languageEnglish
terminalHands-on Labs
starstarstarstarstar
4.8 (45 reviews) · 2,100+ enrolled
person Created by Arjun Mehta · Senior Automation Engineer, Red Hat Certified, 9+ years experience
boltEnroll Now — ₹16,499
sync Ansible
IT Automation Expert Track
Enterprise Ansible Engineering
Ansible · AWX · Ansible Vault · Python · Jinja2 · CI/CD
45h
Content
22+
Labs
3
Projects
Tools & Technologies
AnsibleAWXAnsible VaultPythonJinja2YAMLGitJenkinsTowerTerraformDockerClaudeCopilot

What you'll learn

check_circle Write production-quality Ansible playbooks with variables, handlers, loops, and conditionals
check_circle Build reusable Ansible roles following Galaxy best practices for enterprise environments
check_circle Manage secrets securely with Ansible Vault and integrate with HashiCorp Vault
check_circle Configure AWX/Ansible Automation Platform for enterprise-wide automation governance
check_circle Use dynamic inventories with AWS, Azure, and GCP to automate cloud resource management
check_circle Generate Ansible playbooks with AI (GitHub Copilot, Claude) and review for correctness
check_circle Integrate Ansible with Jenkins and GitHub Actions CI/CD pipelines for automated deployments
check_circle Test Ansible roles with Molecule and apply DevSecOps practices to configuration management
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22+ Hands-on Labs

Automation labs on real Linux servers — provisioning, patching, user management, application deployment, and AWX pipeline orchestration.

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AI-Generated Playbooks

GitHub Copilot and Claude generate Ansible tasks, roles, and playbooks from natural language. Learn to review, test, and secure AI-generated automation code.

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Production-Ready Patterns

Every playbook follows idempotency, error handling, and tagging best practices aligned with enterprise Red Hat Ansible Automation Platform deployments.

Course Curriculum

10 Modules · 45 Hours
article Ansible architecture — control node, managed nodes, inventory, SSH
50:00
article Ad-hoc commands and the Ansible module library
45:00
article YAML syntax, inventory formats — INI, YAML, dynamic
40:00
article Ansible configuration file and privilege escalation (become)
35:00
science Lab: Lab: Automate initial server setup across 10 Linux nodes
50:00
article Playbook structure — plays, tasks, handlers, tags, and notify
55:00
article Variables — group_vars, host_vars, facts, registered variables
50:00
article Conditionals (when), loops (loop, with_items), and blocks
45:00
article Error handling — ignore_errors, rescue, always, failed_when
40:00
science Lab: Lab: Write a full LAMP stack deployment playbook with idempotency
50:00
article Role structure — tasks, handlers, templates, defaults, meta
55:00
article Ansible Galaxy — finding, installing, and publishing roles
45:00
article Role dependencies and role-based organisation for large projects
40:00
science Lab: Lab: Build and publish a reusable NGINX configuration role
30:00
article Jinja2 templating — filters, tests, loops, conditionals in templates
55:00
article File management — copy, template, fetch, synchronize, file modules
40:00
science Lab: Lab: Deploy environment-specific application configs with Jinja2 templates
25:00
article Ansible Vault — encrypt, decrypt, create, edit, rekey
45:00
article Vault passwords — files, environment variables, vault-id
40:00
article Integration with HashiCorp Vault and AWS Secrets Manager
40:00
science Lab: Lab: Secure a multi-environment playbook with Vault and HashiCorp Vault
35:00
article Dynamic inventories — AWS EC2, Azure, GCP, VMware plugins
55:00
article Inventory plugins — constructors, keyed groups, compose
45:00
article Ansible + Terraform workflow — provision then configure
45:00
science Lab: Lab: Automate post-provisioning configuration of AWS EC2 instances with dynamic inventory
35:00
article AWX architecture — job templates, workflows, surveys, credentials
60:00
article Role-based access control in AWX for enterprise teams
45:00
article AWX REST API for automation-of-automation workflows
40:00
article Notifications, approval workflows, and scheduled jobs
35:00
science Lab: Lab: Deploy AWX and automate a multi-stage application rollout with approval gates
60:00
article Ansible in Jenkins pipelines — trigger playbooks from builds
55:00
article GitHub Actions + Ansible for automated application deployment
50:00
science Lab: Lab: Build a full CI/CD pipeline where Jenkins triggers Ansible playbooks on AWS
35:00
Module Objective: Use GitHub Copilot and Claude to generate Ansible tasks, debug YAML errors, create Jinja2 templates, and build automated runbooks from natural-language descriptions of infrastructure requirements.
article Prompt engineering for Ansible — generating tasks, roles, and playbooks
45:00
article AI-assisted troubleshooting — diagnosing failed tasks and YAML errors
40:00
article Claude API for automated runbook generation from incident descriptions
35:00
science Lab: Lab: Generate a complete server hardening playbook using Copilot and Claude
50:00
article Design an enterprise Ansible automation platform with AWX, Vault, dynamic inventory, and CI/CD
120:00
science Lab: Lab: Full deployment — AWX + Jenkins + Ansible + AI-assisted playbook generation
120:00

Tools & Technologies You'll Master

🔄 Ansible🏭 AWX / AAP🔐 Ansible Vault📝 YAML🐍 Python🎨 Jinja2🔗 Git⚙️ Jenkins⚡ GitHub Actions🏗️ Terraform☁️ AWS / Azure / GCP🔑 HashiCorp Vault🐳 Docker🤖 GitHub Copilot🧠 Claude🔴 Red Hat Linux

Real-World Projects

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Enterprise Server Automation Ansible + AWX + Dynamic Inventory

Automate the full lifecycle of 50+ servers — provisioning, hardening, package management, monitoring agent deployment, and compliance reporting using AWX workflows.

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Cloud Configuration Management Ansible + AWS EC2 + Dynamic Inventory

Configure AWS EC2 instances post-provisioning with Ansible using dynamic inventory, apply environment-specific configs with Jinja2, and integrate into a Jenkins CI/CD pipeline.

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AI-Generated Automation Platform Copilot + Claude + Ansible + AWX

Build an AI-assisted automation system where Claude generates Ansible playbooks from incident descriptions, AWX executes them with approval gates, and results feed back to monitoring.

Certification

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Thick Brain Technology — Ansible IT Automation Certification

Upon completing all labs and the capstone project, you receive a verified certificate in Enterprise Ansible Automation Engineering. Aligned with Red Hat Certified Automation Engineer (EX407) objectives and directly shareable on LinkedIn.

check_circleIndustry-recognised check_circleVerifiable check_circleLifetime access

Career Opportunities

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Automation Engineer

Design and manage enterprise IT automation platforms using Ansible, AWX, and CI/CD pipeline integration.

cloud

DevOps Engineer

Integrate Ansible configuration management into full DevOps pipelines — from code commit to production deployment.

engineering

Infrastructure Engineer

Automate server provisioning, patching, security hardening, and compliance across hybrid cloud environments.

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AIOps Engineer

Use AI-generated Ansible playbooks and AWX for intelligent, self-documenting infrastructure automation.

security

DevSecOps Engineer

Apply Ansible for security automation — CIS benchmark hardening, Vault secrets management, and compliance-as-code.

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SRE / Platform Engineer

Build self-healing infrastructure platforms where Ansible automatically remediates incidents detected by monitoring.

Frequently Asked Questions

Basic Linux command-line skills and familiarity with YAML or any programming language. No prior Ansible experience required.
GitHub Copilot generates Ansible tasks and roles from comments. Claude creates full playbooks from natural-language descriptions. The AI module teaches you to validate, test, and secure all AI-generated automation code.
Yes — labs run on real Linux VMs provisioned in cloud environments. You manage actual nodes, not simulations.
Absolutely. The course content strongly aligns with the Red Hat Certified Automation Engineer (EX407) exam objectives and covers all practical skills required.
45 hours of content. Most students finish in 4–6 weeks studying 2 hours daily. Lifetime access for future reference.

Student Success Stories

MK
Mohammed K.
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"The AWX module is exactly what we needed for enterprise governance. I implemented approval workflows for production changes and reduced unauthorised changes to zero."

PC
Preethi C.
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"I generated a full CIS hardening playbook with Copilot in 20 minutes that would have taken me 2 days to write manually. The AI module is worth the entire course fee."

VR
Vivek R.
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"Dynamic inventory with AWS EC2 changed everything. No more manual inventory files. The Terraform + Ansible workflow section is exactly how we run our production environment now."

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