Thick Brain Technologies
Home chevron_right Catalog chevron_right Infrastructure Automation with AI
🤖 AI Automation Track Advanced Level Multi-Tool Stack

Infrastructure Automation
with AI

The most advanced infrastructure automation course in Bengaluru — combining Terraform for provisioning, Ansible for configuration, Python for scripting, and AI tools (GitHub Copilot, Claude, ChatGPT) to create intelligent, self-healing, fully automated infrastructure on AWS and Azure. This is how elite DevOps teams operate.

schedule60 Hours
science30+ Labs
workspace_premium5 Real Projects
languageEnglish
terminalHands-on Labs
starstarstarstarstar
5.0 (28 reviews) · 950+ enrolled
person Created by Rajesh Kumar · Senior Cloud Architect & Automation Expert, 12+ years experience
boltEnroll Now — ₹22,999
auto_awesome AI Infra
AI Infrastructure Automation Track
Intelligent Infrastructure Engineering
Terraform · Ansible · Python · Copilot · Claude · AWS · Azure
60h
Content
30+
Labs
5
Projects
Tools & Technologies
TerraformAnsiblePythonGitHub CopilotClaudeChatGPTAWSAzurePrometheusAWXJenkinsGitHub ActionsOPAVault

What you'll learn

check_circle Combine Terraform, Ansible, and Python in integrated multi-tool automation workflows
check_circle Generate Terraform modules, Ansible playbooks, and Python scripts using AI assistants
check_circle Build self-healing infrastructure that automatically detects and remediates failures
check_circle Implement AI-powered infrastructure cost optimisation using Claude and AWS Cost Explorer APIs
check_circle Create intelligent CI/CD pipelines that use LLMs for deployment risk assessment and rollback decisions
check_circle Design drift detection systems that automatically correct infrastructure configuration drift
check_circle Build ChatOps workflows where Slack commands trigger AI-generated infrastructure changes
check_circle Apply AIOps principles to create self-documenting, continuously improving automation platforms
auto_awesome

30+ AI Automation Labs

Every lab integrates multiple tools simultaneously — Terraform provisions, Ansible configures, Python monitors, and AI generates the code you need throughout the workflow.

smart_toy

LLM-First Engineering

This is not just "use Copilot for autocomplete." You build real systems where Claude generates Terraform, ChatGPT creates Ansible roles, and AI makes deployment decisions at runtime.

verified

Elite-Level Automation

The multi-tool stack in this course — Terraform + Ansible + Python + AI — is used by senior DevOps and platform engineers at tech companies paying ₹35–65 LPA. This is that skill set.

Course Curriculum

12 Modules · 60 Hours
article The automation pyramid — Terraform (provision) → Ansible (configure) → Python (orchestrate)
55:00
article Tool integration patterns — when to use what and how to chain outputs
50:00
article AI-first engineering mindset — prompt-driven infrastructure development
45:00
science Lab: Lab: Design and diagram a complete automation architecture for a 3-tier application
30:00
article AI-generated Terraform modules — prompting Copilot and Claude for HCL
55:00
article Terraform module libraries — building, testing, and publishing with AI assistance
55:00
article Policy-as-Code — OPA and Sentinel for AI-generated infrastructure validation
45:00
science Lab: Lab: Generate a complete AWS EKS + RDS + VPC stack using Claude and Copilot
35:00
article AI-generated Ansible roles — from system requirements to full playbooks
55:00
article AWX automation — triggering AI-validated playbooks from monitoring alerts
50:00
article Idempotency verification and AI-assisted Ansible debugging
45:00
science Lab: Lab: Generate and deploy a server hardening playbook using Claude, then test with Molecule
30:00
article AI pair programming workflow — Copilot inline, Claude for architecture
55:00
article Python for multi-cloud automation — boto3 + azure-sdk with AI scaffolding
55:00
article Async Python automation — concurrent cloud operations with asyncio and aiohttp
40:00
science Lab: Lab: Build a Python multi-cloud resource lifecycle manager with Copilot and Claude
30:00
article Drift detection — Terraform plan in CI, Ansible compliance checks, Python API diff
55:00
article Auto-remediation pipelines — detect → alert → AI-generate fix → approval → apply
55:00
article Chaos engineering — inject failures and verify self-healing with AI-generated recovery
45:00
science Lab: Lab: Build a drift detection + auto-remediation system for AWS S3 compliance
35:00
article LLM deployment risk scoring — Claude analyses diffs and assigns risk levels
55:00
article AI-generated rollback decisions — automatic rollback when anomalies detected
50:00
article Intelligent pipeline gates — AI approval workflows for production deployments
45:00
science Lab: Lab: Build a Jenkins pipeline with Claude-powered deployment risk scoring and auto-rollback
30:00
article Prometheus + Grafana with AI-assisted PromQL query generation
55:00
article LLM-powered incident triage — sending alerts to Claude for root cause analysis
50:00
article Automated runbook execution — AI generates and submits Ansible playbooks from alerts
45:00
science Lab: Lab: Build an AIOps platform where PagerDuty alerts trigger Claude-generated Ansible remediation
30:00
article AWS Cost Explorer + Claude — natural language cost analysis and recommendations
55:00
article AI-generated right-sizing scripts — Python + boto3 + LLM cost decisions
50:00
science Lab: Lab: Build a weekly cost optimisation bot that identifies and remediates waste with AI
35:00
article Slack + Claude — natural language infrastructure commands via chatbot
55:00
article Claude API for infrastructure intent parsing — "scale up prod by 20%" → Terraform plan
50:00
article Approval workflows — AI proposes, human approves, automation executes
45:00
science Lab: Lab: Build a Slack ChatOps bot that accepts infrastructure commands and executes via Terraform
30:00
article Auto-documenting infrastructure — Claude generates README from Terraform state
50:00
article Runbook generation from incident history using LLMs
45:00
science Lab: Lab: Generate complete infrastructure documentation for an existing AWS environment with Claude
45:00
Module Objective: Apply AI across every security layer — from generating OPA policies to triaging Trivy scan results with Claude, creating a security automation platform where AI handles the routine and humans handle the exceptions.
article AI-generated security policies — Sentinel, OPA, and IAM policies from threat models
55:00
article Automated compliance scanning — Checkov + Trivy + AI vulnerability triage
50:00
science Lab: Lab: Build an AI-powered security scanning pipeline that triages and prioritises findings
35:00
article Design a fully AI-integrated infrastructure platform — Terraform + Ansible + Python + LLMs + AIOps
180:00
science Lab: Lab: Build and present a complete intelligent infrastructure automation platform on AWS/Azure
180:00

Tools & Technologies You'll Master

🏗️ Terraform🔄 Ansible🐍 Python☁️ AWS🔷 Azure📊 Prometheus📈 Grafana⚙️ Jenkins⚡ GitHub Actions🏭 AWX🔐 HashiCorp Vault🛡️ OPA🐳 Docker☸️ Kubernetes🤖 GitHub Copilot🧠 Claude💬 ChatGPT💬 Slack ChatOps🔍 Checkov🛡️ Trivy

Real-World Projects

auto_awesome
AI-Generated Full-Stack Infrastructure Copilot + Claude + Terraform + Ansible

Provision a 3-tier AWS infrastructure with Claude-generated Terraform, configure servers with AI-generated Ansible playbooks, and deploy an application — all from natural language prompts.

healing
Self-Healing Cloud Platform Drift Detection + Auto-Remediation + AWX

Build a self-healing infrastructure system — Terraform drift detection in CI, Ansible auto-remediation via AWX, and Prometheus monitoring with AI-generated alerts and runbooks.

forum
ChatOps Infrastructure Control Slack + Claude API + Terraform + Approval Gates

Build a Slack bot that accepts natural language infrastructure commands, uses Claude to generate Terraform plans, presents them for approval, and executes approved changes automatically.

savings
AI Cost Optimisation Engine Claude + boto3 + AWS Cost Explorer

Build an automated cost optimisation bot that queries AWS Cost Explorer, sends data to Claude for analysis, generates Python remediation scripts, and executes approved cost savings automatically.

terminal
AIOps Monitoring Platform Prometheus + Claude + Ansible + PagerDuty

Create an AIOps platform where Prometheus alerts trigger Claude to analyse root causes, generate Ansible remediation playbooks, and auto-execute approved fixes — with PagerDuty escalation for critical incidents.

Certification

workspace_premium

Thick Brain Technology — AI Infrastructure Automation Engineering Certificate

Upon completing all labs and the capstone project, you receive a verified certificate in AI-Integrated Infrastructure Automation Engineering — the most advanced infrastructure automation credential offered by Thick Brain Technology. Shareable on LinkedIn.

check_circleIndustry-recognised check_circleVerifiable check_circleLifetime access

Career Opportunities

auto_awesome

AI Infrastructure Engineer

Design and operate AI-integrated infrastructure platforms — the emerging role at top tech companies.

engineering

Senior DevOps Engineer

Lead enterprise automation initiatives combining Terraform, Ansible, and AI tools for scale and reliability.

hub

Platform Engineer

Build intelligent internal developer platforms with AI-generated golden paths and self-service infrastructure.

smart_toy

AIOps Engineer

Operate AI-powered monitoring, incident response, and auto-remediation systems for production infrastructure.

terminal

Site Reliability Engineer

Build self-healing systems that automatically detect, diagnose, and remediate infrastructure failures with AI.

security

Cloud Security Architect

Automate security compliance with AI-generated policies, drift detection, and intelligent vulnerability triage.

Frequently Asked Questions

You should have solid working knowledge of at least one of: Terraform, Ansible, or Python. Exposure to AWS or Azure concepts is important. This is an advanced course designed for engineers with 2+ years in IT.
In other courses, AI assists learning. In this course, AI is a core part of the infrastructure itself. You build systems where Claude generates Terraform at runtime, Copilot scaffolds Python functions, and ChatGPT makes deployment decisions — not just to learn faster, but as production capabilities.
Yes — all labs run on real AWS and Azure accounts. The self-healing and AIOps labs operate on live infrastructure so you can see real alerts, real drift, and real automated remediation.
Advanced DevOps covers the full DevOps lifecycle — CI/CD, Kubernetes, monitoring, security, and GitOps. This course focuses specifically on infrastructure automation — Terraform + Ansible + Python — and deeply integrates AI into every automation tool and workflow.
60 hours of content. Most students complete in 7–9 weeks at 2 hours/day. This is the most intensive course we offer — expect to invest meaningful time in every lab.

Student Success Stories

RS
Rajan S.
starstarstarstarstar

"The ChatOps module blew my mind. I built a Slack bot in 2 days that manages our entire staging environment with natural language commands. My CTO called it the most impressive engineering demo he'd seen this year."

AP
Anita P.
starstarstarstarstar

"The self-healing infrastructure section is where this course separates from everything else. Our EC2 compliance system now auto-remediates open security groups within 3 minutes of detection. We haven't had a compliance audit finding since."

DK
Dinesh K.
starstarstarstarstar

"The AI cost optimisation project saved my company ₹4 lakhs in the first month. The bot identifies underutilised instances, generates cleanup scripts, and sends them for approval every Sunday morning."

Chat with us
We reply instantly