INFRAINTEL: DevOps + AI Mastery

The Future-Proof DevOps Engineer Knows AI.

Break free from basic DevOps. Master real infra + AI workflows. Build InfraGPT, automate outages, and deploy MLOps pipelines - all in one powerful track.

AI-Driven Infra Projects
Weekly War Room Drills
Guest Sessions from Top AI & DevOps Architects
AI Console
  • DevOps + AI Integration in Real Projects
  • MLOps, AIOps & InfraGPT Fundamentals
  • Root-Cause Analysis with AI Agents
  • Learn production workflows, not theory

What You’ll Master Inside INFRAINTEL

A program designed for the AI-powered DevOps Engineer, future-proof your career with real-world infra mastery.

Real-World Infra Experience

Work hands-on with production-grade setups.

High-Impact DevOps + AI Projects

Build InfraGPT, automate RCA with LLMs, and design end-to-end MLOps pipelines.

Weekly War Room Simulations

Face real outage scenarios. Diagnose. Fix. Learn. Simulate the pressure of on-call reality.

Expert Guest Sessions

Learn directly from MLOps, AIOps, and Infra leaders shaping the future of platform engineering.

Career & Tooling Advantage

RCA-style interviews, AI prompt banks, and full interview prep included.

Battle-Tested Tools. AI-Augmented DevOps Stack.

The DevOps toolkit of 2026 mastered by you, today.

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INFRASTRUCTURE AUTOMATION

Learn to manage complex infra across cloud, with AI-generated templates & drift detection.

TerraformAnsiblePulumi
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CI/CD + DEVSECOPS

Build secure, intelligent pipelines that ship code and detect vulnerabilities autonomously.

GitHub ActionsJenkinsSonarQubeCodeQLSnykTrivy
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OBSERVABILITY & INCIDENT RESPONSE

Monitor, trace, and alert — then trigger auto-remediation using AI.

PrometheusGrafanaOpenTelemetryPagerDutySentry
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AI & AUTOMATION

Use LLMs for infra documentation, root cause analysis, slack responders, and infra copilots.

ChatGPTOpenAI APIClaudeLangChainInfraGPT CLI (custom tool)Custom Prompt Banks
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MLOPS & AIOPS TOOLKIT

Manage ML lifecycle, track experiments, and implement real AIOps at scale.

MLflowFeast (Feature Store)WhyLogs / EvidentlyKubeflowBigPandaMoogsoftDynatrace
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CLOUD-NATIVE STACK

Cross-cloud ready deployments with intelligent governance, cost savings, and scale.

AWSGCPKubernetesDockerCloud Cost Optimization APIsAzure

From Chaos to Command Line

Projects That Prove You Can Lead DevOps + AI. These aren’t mock projects, they’re fire-tested, automation-packed, failure-prone real scenarios, rebuilt with AI.

InfraGPT

Your personal DevOps co-pilot built by you.

What you’ll build:

  • LLM-powered CLI that generates infra commands
  • Auto-generates documentation
  • Internal chat-based assistant to trigger jobs
  • Uses LangChain + OpenAI + CLI + GitHub Actions

Business Impact:

No more wiki scavenging or senior pings. InfraGPT = your org’s SRE on demand.

AI-Powered Incident RCA System

Don’t just fix issues. Diagnose them like a machine.

What you’ll build:

  • Incident timeline generator from logs and metrics
  • Slack/Teams RCA summarizer
  • Impact radius detector
  • AI responders & war room companion

Business Impact:

Faster recovery. Smarter RCAs. War room without the war.

Cloud Cost Optimization (AI-Driven)

The CFO’s favorite DevOps project.

What you’ll build:

  • Cost-aware CI/CD pipelines
  • Drift + idle resource detectors
  • Smart alerts + tagging system using AI
  • Auto-cleanup bots for unused infra

Business Impact:

Save real dollars. Optimize with intelligence. Automate the cost review.

Infra Audit using DevOps & AI Tools

Audit like an architect. Automate like a machine.

What you’ll build:

  • Automated audit workflows for architecture, security & IAM
  • Use AI to detect misconfigurations & untagged assets
  • Smart drift reports and compliance summaries
  • GitOps-style infra review triggers

Business Impact:

Shift from reactive reviews to proactive AI-driven audits. Gain visibility, reduce risk, and impress leadership.

Weekly Curriculum Breakdown

From DevOps foundations to AI-augmented engineering in 8 weeks. Each week builds toward production-ready skills with hands-on, mentor-led sessions and real projects.

DevOps 2.0: Infra Intelligence & Automation

  • Rapid recap of DevOps Foundations: Git, CI/CD, IaC, Monitoring
  • GitHub Actions with DevSecOps pipelines
  • Intelligent CI/CD: Cost-aware builds, speed optimizations
  • AI-assisted code analysis: CodeQL, SAST, DAST intro

Outcome:

Prepare for advanced infra with an automation-first mindset

Simulations You’ll Face

Real outages. Rogue AI. Audit fire drills. These chaos simulations prepare you to handle, Production-grade incidents with confidence

Debug the Chaos. Master the Calm.
Become the Engineer People Rely On.

You’ll be thrown into real-world production chaos — the kind that makes or breaks engineering careers.

These are not tutorials. These are chaotic, fire-drill scenarios inspired by actual outages faced by FAANG, SaaS unicorns, and high-scale platforms.

InfraGPT Goes Rogue

A self-debugging LLM integrated into pipelines begins auto-rolling back deployments across environments.

  • Debug generative CI/CD logic
  • Tame LLM prompts with restricted scopes
  • Audit pipeline triggers in real time

RCA Puzzle: Alert Storm without Impact

Grafana shows red. PagerDuty is screaming. But users are fine.

  • Find the noisy root & suppress alert storms
  • Regain observability sanity

The Cost Leak Nightmare

An AI-generated Terraform module accidentally provisions dozens of high-cost resources across 3 cloud regions.

  • Triage with FinOps dashboards
  • Use AI-based tagging & rollback
  • Build audit trails & preventive guardrails

ML Pipeline Breakdown

A deployed ML model silently degrades in performance no alerts triggered.

  • Set up monitoring with Evidently + WhyLogs
  • Implement AI-triggered rollback strategies
  • RCA with OpenTelemetry & tracing tools

Infra Audit Fire Drill

Simulate an urgent audit request from security + platform teams with 24-hour SLA.

  • AI-assisted scanning & report generation
  • Map IAM, network & cloud misconfigurations
  • Auto-generate documentation with GenAI

You’ll Walk Away With:

  • Production-grade RCA frameworks
  • Deep familiarity with chaos debugging under pressure
  • AI tools for observability and triage
  • Confidence to own incidents end-to-end

These simulations are the reason our alumni crush real DevOps interviews and thrive in production pressure.