3 weeks
Production Kubernetes Platform
Build a production-grade EKS platform with Terraform, ArgoCD, monitoring, and autoscaling.
Capstone-readyLearn more
Courses>DevOps & SRE
AI-Powered DevOps & Cloud
An industry-aligned DevOps program covering the entire software delivery lifecycle — Linux fundamentals, scripting, version control, cloud platforms (AWS & Azure), containerization with Docker, Kubernetes orchestration, infrastructure as code with Terraform & Ansible, CI/CD with Jenkins & GitHub Actions, monitoring with Prometheus & Grafana, log aggregation with the ELK stack, GitOps with ArgoCD, and DevSecOps best practices. Built around real production scenarios, troubleshooting drills, and capstone projects.
Preview this course (3:24)
16 weeks (live + self-paced)
Beginner to Advanced
Online | Live + Recorded
Created by Taksh Informatics
What you'll learn
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
Tools You'll Master
Get hands-on with industry-standard tools used in real-world workflows.
Course Curriculum
A comprehensive curriculum designed to take you from beginner to DevOps professional
Module 1: Linux Foundations
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
Module 2: Git & GitHub
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
Module 3: Cloud Computing — AWS & Azure
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
See all 11 modules · 150 hours of content
11
Modules
150
Hours
15+
Projects
60+
Hands-on Labs
Hands-on Practice
Hands-On Projects
Apply every concept through production-style projects that simulate real workflows you will face on the job.
2 weeks
GitOps CI/CD Pipeline
Design an end-to-end pipeline from GitHub commit to production with ArgoCD and progressive delivery.
Capstone-readyLearn more
15+
Real-world Projects
100%
Hands-on Learning
24/7
Mentor Support
1500+
Alumni Hired
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.
Student reviews
Lokendra Saini
Sr. DevOps Engineer at AppInventiv
★★★★★
“As a working professional, I needed a program that was flexible yet practical. The DevOps and Cloud training helped me understand real deployment workflows, CI/CD pipelines, Kubernetes, and AWS services through hands-on projects. The weekend sessions and mentor support made it easy to balance learning with my job.”
Sonu Yadav
DevOps Engineer at Paysecure Technologies
★★★★★
“Before joining, I mainly worked on support tickets and monitoring tools. After completing the DevOps and Cloud learning path, I became confident with CI/CD automation, containerization, and cloud infrastructure management. Within a few months, I successfully moved into a cloud operations role.”
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