AI-Powered DevOps & Cloud

End-to-end DevOps mastery covering Linux, Cloud, Containers, Kubernetes, IaC, CI/CD, and Observability with real production workflows.

  • Duration16 weeks (live + self-paced)
  • Hands-on60+ labs & 15+ projects
  • CertificateVerified certificate to boost your Resume
AI-Powered DevOps & Cloud
Tools you'll master

Hands-on with the tools working teams actually use

Every tool in the list below shows up in real day-to-day production workflows — not just in a slide deck.

Linux
Linux
Git & GitHub
Git & GitHub
GitHub Actions
GitHub Actions
Docker
Docker
Kubernetes
Kubernetes
Helm
Helm
Jenkins
Jenkins
ArgoCD
ArgoCD
Ansible
Ansible
Terraform
Terraform
Terraform Cloud
Terraform Cloud
AWS
AWS
Prometheus
Prometheus
Grafana
Grafana
Loki
Loki
Datadog
Datadog
NGINX
NGINX
Trivy
Trivy
SonarQube
SonarQube
Snyk
Snyk
Jira
Jira
Python
Python
PostgreSQL
PostgreSQL
MongoDB
MongoDB
Redis
Redis
OpenAI
OpenAI
What you'll learn

The concrete skills you'll walk away with

  • AI-Powered DevOps Workflows

  • Kubernetes Troubleshooting

  • Docker & Containerization

  • CI/CD Pipeline Automation

  • Infrastructure as Code

  • Monitoring & Observability

  • DevSecOps & Security Scanning

  • AWS Cloud Deployment

  • Production-Grade Kubernetes

  • AI-Based Incident Analysis

  • Real-World Cloud Projects

  • AI Log Analysis & Debugging

  • Cloud Cost Optimization with AI

Curriculum

What you'll actually build, week by week

Each module is designed to end with something you've built — not just something you've watched.

  • INTRODUCTION TO LINUX
    What you'll learn
    • Linux flavours & distributions
    • Linux architecture (Kernel vs User Space)
    • Linux terminal mastery
    • Setting up Linux VM
    • Linux for Cloud & DevOps
    • AI-assisted Linux command learning
    • AI-generated Bash scripting
  • FILE SYSTEM & COMMANDS
    What you'll learn
    • Linux file system hierarchy
    • File & directory management
    • Text processing commands
    • Search & filtering commands
    • Compression & archiving
    • AI-powered command suggestions
    • AI-based troubleshooting commands
  • USERS, GROUPS & PERMISSIONS
    What you'll learn
    • User & group management
    • File permissions & ownership
    • ACL & sudo access
    • SSH authentication
    • Linux security basics
    • AI-based permission troubleshooting
  • PROCESS & SERVICE MANAGEMENT
    What you'll learn
    • Linux processes & jobs
    • Systemd & service management
    • Cron jobs & automation
    • Monitoring system resources
    • Log management
    • AI-powered log analysis
  • VERSION CONTROL FUNDAMENTALS
    What you'll learn
    • Git architecture
    • Branching strategies
    • Pull requests & collaboration
    • Merge conflict resolution
    • GitHub workflow
    • AI-generated commit messages
    • AI-assisted code reviews
  • GITHUB FOR DEVOPS
    What you'll learn
    • GitHub repositories
    • GitHub Actions basics
    • GitOps introduction
    • Repository security
    • AI-generated documentation
    • AI workflow troubleshooting
  • AWS CLOUD ESSENTIALS
    What you'll learn
    • EC2 & IAM
    • VPC & Networking
    • S3 & Storage
    • Load Balancer & Auto Scaling
    • EKS Basics
    • Cloud monitoring with CloudWatch
    • AI-based cloud cost optimization
    • AI cloud architecture suggestions
  • AZURE CLOUD ESSENTIALS
    What you'll learn
    • Azure VM
    • VNets & Networking
    • AKS Basics
    • Azure Monitoring
    • AI-powered infrastructure analysis
What you'll learn
  • Docker architecture
  • Dockerfile creation
  • Docker Compose
  • Docker networking
  • Multi-stage builds
  • Docker image optimization
  • AI-generated Dockerfiles
  • AI container troubleshooting
  • KUBERNETES FUNDAMENTALS
    What you'll learn
    • Pods & Deployments
    • Services & Ingress
    • ConfigMaps & Secrets
    • Namespaces & RBAC
    • Persistent Volumes
    • Autoscaling
    • Kubernetes troubleshooting
    • AI-powered pod failure analysis
    • AI-generated Kubernetes YAMLs
    • AI Kubernetes debugging
  • HELM PACKAGE MANAGEMENT
    What you'll learn
    • Helm charts
    • Helm repositories
    • Helm templating
    • Release management
    • AI-generated Helm charts
  • REAL-TIME K8S PROBLEM SOLVING
    What you'll learn
    • CrashLoopBackOff troubleshooting
    • Pod debugging
    • Node failure handling
    • Cluster monitoring
    • AI-based root cause analysis
    • AI incident troubleshooting

See all 11 modules · 150 hours of content

11
Modules
150
Hours
15+
Projects
60+
Hands-on Labs
Hands-on experience

Real projects, not tutorial exercises

Every project simulates a workflow you'll actually face on the job — reviewable in interviews.

3 weeks

Production Kubernetes Platform

Build a production-grade EKS platform with Terraform, ArgoCD, monitoring, and autoscaling.

2 weeks

GitOps CI/CD Pipeline

Design an end-to-end pipeline from GitHub commit to production with ArgoCD and progressive delivery.

15+
Real-world Projects
100%
Hands-on Learning
24/7
Mentor Support
1500+
Alumni Hired
Frequently asked questions

Common questions from real students

Still curious? Email us and one of our mentors will personally get back to you within a day.

Yes, the course includes AI-powered DevOps workflows using ChatGPT, Cursor, OpenAI APIs, and AI troubleshooting tools.

Basic coding knowledge is helpful but not mandatory. We cover scripting step-by-step from the ground up.

The course covers AWS with practical implementations across compute, networking, storage, and DevOps services.

Yes, Kubernetes is covered from beginner fundamentals through production-grade deployment, observability, and troubleshooting.

Yes, security scanning, vulnerability analysis, container security, and Kubernetes security are all included.

Yes, recorded sessions and learning materials will be provided so you can revisit content anytime.

Ready to start your learning journey?

Join our growing community of successful graduates

Taksh Informatics | AI-Powered DevOps & Cloud, AI/ML & Cloud Programs