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⚡ AI-Powered DevOps Track Advanced Level Cloud-Native

Advanced DevOps
+ AI Integration

Master AI-powered DevOps workflows, intelligent automation, and AI-assisted CI/CD pipelines. Build cloud-native infrastructure with Kubernetes, implement GitOps, and leverage LLMs for monitoring, incident detection, and platform engineering — all with real-time production deployments.

schedule 65 Hours
science 35+ Labs
workspace_premium 6 Real Projects
language English
terminal Hands-on Labs
star star star star star
5.0 (42 reviews) · 1,800+ enrolled
person Created by Rajesh Kumar · Senior DevOps Architect, ex-Amazon, 12+ years experience
boltEnroll Now — ₹24,999
settings_suggest DevOps + AI
AI-Integrated Track
Advanced DevOps Engineering
Kubernetes · Terraform · ArgoCD · Prometheus · LLMs
65h
Content
35+
Labs
6
Projects
Tools & Technologies
Docker Kubernetes Helm Terraform ArgoCD Jenkins GitHub Actions Prometheus Grafana ELK Stack AWS DevOps Claude ChatGPT Copilot

What you'll learn

check_circle Build AI-assisted CI/CD pipelines with Jenkins & GitHub Actions
check_circle Master Kubernetes, Helm, and GitOps with ArgoCD for production
check_circle Implement AI-powered monitoring, anomaly detection, and incident response
check_circle Automate infrastructure with Terraform and AI-generated IaC templates
check_circle Integrate LLMs (Claude, ChatGPT) into DevOps workflows for automation
check_circle Secure your pipelines with DevSecOps & automated security scanning
check_circle Build platform engineering foundations with internal developer portals
check_circle Deploy production-ready applications with real-time monitoring & logging
science

35+ Hands-on Labs

Real-world scenarios on AWS, Kubernetes, and production-grade CI/CD pipelines. Zero setup friction with cloud sandboxes.

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AI-Integrated Workflows

Claude, ChatGPT, and GitHub Copilot automate code generation, pipeline debugging, monitoring alerts, and incident analysis throughout the course.

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Lifetime Access

Content updated quarterly with new DevOps tools, AI integrations, and real-world project templates.

Course Curriculum

16 Modules · 65 Hours
articleLinux System Administration — CLI, Processes, Permissions, Systemd
60:00
articleNetworking Protocols — TCP/IP, DNS, HTTP/HTTPS, Load Balancing
50:00
articleShell Scripting for Automation — Bash, Cron, Systemd Timers
40:00
articleAI-assisted Shell Script Generation & Debugging
30:00
scienceLab: AI-generated System Monitoring Script Suite
50:00
articleGit Internals — Branching, Merging, Rebasing, Cherry-picking
50:00
articleGitHub Workflows — PRs, Issues, Actions, Project Boards
45:00
articleGit Hooks & AI-powered Commit Message Generation
30:00
scienceLab: AI-assisted Git workflow with Copilot code reviews
55:00
articleDocker Deep Dive — Images, Containers, Networks, Volumes, Registry
60:00
articleDocker Compose for Multi-Container Applications
45:00
articleAI-generated Dockerfiles & Optimisation with ChatGPT
30:00
scienceLab: Containerise a Full-Stack App with AI-assisted Docker Compose
45:00
articleK8s Architecture — Control Plane, Worker Nodes, API, etcd, Scheduler
60:00
articlePods, Deployments, Services, ConfigMaps, Secrets, Ingress
50:00
articleAdvanced Scheduling, Autoscaling (HPA/VPA), and Admission Controllers
55:00
articleAI-powered K8s Config Generation & Troubleshooting
30:00
scienceLab: Deploy a Microservices App on EKS/AKS with AI Assistance
75:00
articleHelm Basics — Charts, Templates, Values, Hooks, Dependencies
50:00
articleHelm Repositories, Chart Museum, and Release Management
40:00
articleAI-generated Helm Charts & Template Optimisation
35:00
scienceLab: Build and Deploy a Custom Helm Chart with AI Assistance
45:00
articleTerraform Core — HCL, State Management, Modules, Providers
55:00
articleTerraform Workspaces, Remote State, and CI/CD Integration
45:00
articleTerraform Modules & Reusable Infrastructure Patterns
40:00
articleAI-assisted Terraform Plan Generation & Policy Validation
30:00
scienceLab: Provision AWS/Azure Infrastructure with AI-generated Terraform
70:00
articleJenkins — Pipelines, Groovy DSL, Shared Libraries, Agents
60:00
articleGitHub Actions — Workflows, Runners, Actions Marketplace, Matrix Strategy
50:00
articleAI-generated CI/CD Pipeline Templates with Claude & ChatGPT
35:00
articlePipeline Security, Secrets Management, and AI-powered Vulnerability Scanning
40:00
scienceLab: Build a Complete CI/CD Pipeline with AI-assisted Debugging
55:00
articleGitOps Principles — Declarative, Pull-based, Observability
40:00
articleArgoCD — Application CRDs, Sync Strategies, Rollbacks, Health Checks
55:00
articleArgoCD with Helm, Kustomize, and Multi-Cluster Management
45:00
scienceLab: Deploy a Full GitOps Workflow with AI-generated ArgoCD Configs
50:00
articleAWS CodePipeline, CodeBuild, CodeDeploy, CodeArtifact
55:00
articleAWS ECR, ECS, Fargate, and EKS Integration
50:00
articleAI-generated CloudFormation & CDK Templates for DevOps
35:00
scienceLab: End-to-End AWS DevOps Pipeline with AI-assisted Configuration
60:00
articlePrometheus — Metrics, Exporters, Service Discovery, AlertManager
60:00
articleGrafana — Dashboards, Panels, Data Sources, Alerting
50:00
articleAI-powered Anomaly Detection & Predictive Monitoring with LLMs
40:00
scienceLab: Build a Real-time Monitoring Stack with AI Incident Detection
50:00
articleElasticsearch, Logstash, Kibana — Architecture & Deployment
50:00
articleFluentd, Filebeat, and Centralised Logging Pipelines
45:00
articleAI-powered Log Analysis & Anomaly Detection with ChatGPT
35:00
scienceLab: Deploy ELK Stack with AI-assisted Log Analysis
50:00
articleShift-Left Security — SAST, DAST, SCA, Container Scanning
55:00
articleAI-powered Vulnerability Detection & Security Policy Generation
40:00
articleSecrets Management — HashiCorp Vault, AWS Secrets Manager, GitHub Secrets
45:00
scienceLab: Secure a CI/CD Pipeline with AI-generated Security Policies
60:00
Module Objective: Apply Claude, ChatGPT, and GitHub Copilot as real DevOps partners — automating pipeline generation, infrastructure provisioning, monitoring alerts, and incident response at scale.
articlePrompt Engineering for DevOps — Generating Terraform, Ansible, K8s Configs
50:00
articleAI-assisted CI/CD Pipeline Debugging & Optimisation
45:00
articleLLM-powered Monitoring — Anomaly Detection, Incident Triage, Root Cause Analysis
45:00
articleAI-driven Auto-remediation & Self-healing Infrastructure
40:00
scienceLab: Build an AI-powered Incident Response & Auto-remediation Bot
60:00
articleInternal Developer Platforms (IDP) — Backstage, Cortex, Port
50:00
articleGolden Paths, Developer Self-Service, and Platform as a Product
45:00
articleAI-generated Platform Documentation & Onboarding Automation
35:00
scienceLab: Build a Minimal Internal Developer Portal with AI Assistance
60:00
articleProject 1: E-commerce Platform — CI/CD, K8s, Monitoring, Logging
120:00
articleProject 2: AIOps Dashboard — Real-time Anomaly Detection & Auto-remediation
120:00
scienceLab: Production Deployment — Blue/Green, Canary, Rollback Strategies
120:00
articleDesign a Full Enterprise DevOps Platform with AI Integration
100:00
articleMulti-Cloud & Hybrid Infrastructure Automation with AI
100:00
scienceLab: Final Project — End-to-End DevOps Transformation with AI-driven Automation
100:00

Tools & Technologies You'll Master

🐧 Linux 🐚 Bash 🔗 Git 🐙 GitHub 🐳 Docker ☸️ Kubernetes 🎯 Helm 🏗️ Terraform 🔄 ArgoCD ⚙️ Jenkins ⚡ GitHub Actions ☁️ AWS DevOps 📊 Prometheus 📈 Grafana 📋 ELK Stack 🔐 Vault 🧠 Claude 🤖 ChatGPT 👨‍💻 GitHub Copilot 🔍 SAST/DAST 📦 Backstage 🌐 Kustomize 📝 Ansible

Real-World Projects

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E-commerce Platform CI/CD + K8s + Monitoring

Deploy a full-stack e-commerce app on Kubernetes with CI/CD pipelines, Prometheus monitoring, ELK logging, and ArgoCD GitOps — all with AI assistance.

dashboard
AIOps Dashboard AI Monitoring + Auto-remediation

Build an AI-powered operations dashboard with real-time anomaly detection, incident triage using LLMs, and automated self-healing infrastructure.

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Multi-Cloud Infrastructure Terraform + AWS + Azure

Provision and manage production-grade multi-cloud infrastructure using AI-generated Terraform modules with reusable patterns and policy validation.

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DevSecOps Pipeline Security Automation + AI Scanning

Secure a CI/CD pipeline with automated SAST/DAST scanning, vulnerability detection, secrets management, and AI-generated security policies.

Certification

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Thick Brain Technology Advanced DevOps Certification

Upon completion, you'll receive a verified certificate recognising your expertise in AI-powered DevOps, Kubernetes, GitOps, and platform engineering. Shareable on LinkedIn and included in your professional portfolio.

check_circleIndustry-recognised check_circleVerifiable check_circleLifetime access

Career Opportunities

engineering

DevOps Engineer

Design and manage CI/CD pipelines, infrastructure automation, and cloud-native deployments.

cloud

Cloud Architect

Architect scalable, secure, and cost-effective cloud infrastructure across AWS, Azure, and GCP.

smart_toy

AIOps Engineer

Leverage AI/LLMs for intelligent monitoring, anomaly detection, and incident automation.

hub

Platform Engineer

Build internal developer platforms, golden paths, and self-service infrastructure.

security

DevSecOps Engineer

Automate security scanning, vulnerability management, and compliance in CI/CD pipelines.

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Site Reliability Engineer

Ensure high availability, performance, and reliability with AI-powered monitoring and incident response.

Frequently Asked Questions

Basic knowledge of Linux commands and familiarity with any programming language (Python/JS/Java) is helpful. We provide a free refresher module for Linux and scripting fundamentals.
You'll use Claude, ChatGPT, and GitHub Copilot to generate Terraform plans, K8s configs, CI/CD pipelines, and monitoring alerts. AI also assists in debugging, incident analysis, and auto-remediation across all labs and projects.
Yes, all labs run in our managed cloud sandbox environment. You get free AWS/Azure credits for hands-on practice without any setup overhead.
The course contains 65+ hours of content. Most students complete it in 6–8 weeks with 2–3 hours of study per day. You can also learn at your own pace with lifetime access.
Yes, we offer a 30-day money-back guarantee. If you're not satisfied with the course, contact us for a full refund — no questions asked.

Student Success Stories

AK
Ankit K.
starstarstarstarstar

"The AI-powered monitoring module was a game-changer. I built an anomaly detection system for my team's production environment using the lab templates. Got promoted within 3 months!"

SR
Sneha R.
starstarstarstarstar

"From zero Kubernetes experience to managing production clusters in 6 weeks. The AI-assisted debugging saved me hours every day. Best DevOps investment I've made."

VP
Vikram P.
starstarstarstarstar

"The GitOps and ArgoCD labs were exactly what my team needed. I implemented a full GitOps workflow within a week of finishing the course. Highly recommended for any platform engineer."

₹49,999 50% OFF
₹24,999
Limited time offer · Ends in 2 days
47
hrs
23
min
59
sec

This course includes:

check_circle 65 hours on-demand video content
check_circle 35+ hands-on labs on real cloud infrastructure
check_circle 6 end-to-end AI-assisted projects
check_circle AI prompt library for DevOps automation
check_circle Cloud sandbox access with free credits
check_circle Certificate of completion
check_circle Lifetime access + quarterly updates

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