Hyskilled

Cloud DevOps Engineer with Gen AI Integration

  • Duration: 3 Months
  • Mode: Online
  • Level: Beginner to Advanced
  • Includes: Hands-on Projects | Capstone Projects | Placement Assistance
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Course Overview

This 3-month intensive program is designed to transform learners into job-ready Cloud DevOps Engineers with GenAI expertise. Starting from the very fundamentals of Linux, Python, and Cloud platforms like AWS and Azure, this course advances through core DevOps tools and concepts, and culminates in cutting-edge Generative AI integration in Cloud and DevOps workflows.
With hands-on practice, real-world projects, and in-demand tools and platforms, you’ll graduate with industry-ready skills and a portfolio that stands out.

Course Syllabus

  • Introduction to Linux OS & Environment Setup
  • Command Line Essentials
  • User & Group Management
  • Networking Basics in Linux
  • System Administration Tasks
    1. Setting up Web Servers
    2. Automating with Cron Jobs
  • Shell Scripting Basics
  • Tools Covered: CLI, bash, vim/nano

Hands-On: Daily CLI tasks, shell scripts, and a mini-server deployment project.

  • Introduction to Python
  • Python Development Environment Setup (PyCharm, Jupyter)
  • Core Concepts: Variables, Data Types, Control Structures, Functions
  • Data Structures: Lists, Tuples, Dictionaries, Sets
  • String Manipulation & Regular Expressions
  • File I/O Operations
  • Tools Covered: Python 3.x, Jupyter, PyCharm

Mini Project: Build a CLI-based File Manager or Simple Data Processing Tool

  • AWS Account Setup & Console Tour
  • Core Services: EC2, S3, RDS, IAM, VPC, EBS
  • Security & Networking: Security Groups, NACLs
  • Automation & Orchestration
    1. Auto Scaling
    2. Load Balancing
    3. CloudFormation
    4. OpsWorks
  • Containers on AWS: ECS, Docker Swarm
  • Monitoring & Alerts: AWS CloudWatch

Hands-On: Host a dynamic website on EC2 + S3 backup + IAM roles setup

  • Azure Account Setup
  • Core Services: Virtual Machines, Blob Storage, SQL Database
  • App Services & Serverless: Azure Functions
  • CI/CD with Azure DevOps
  • Networking: Virtual Networks, Security Center
  • Containerization: AKS (Azure Kubernetes Service)

Mini Project: Deploy a web app with CI/CD pipeline using Azure DevOps

  • DevOps Principles & Workflow
  • Version Control with Git
  • Containerization with Docker
  • Multi-container Applications with Docker Compose
  • Continuous Integration & Jenkins
    1. Jenkins Setup
    2. Pipeline Creation
    3. Plugin Integration
  • Infrastructure as Code (IaC) with Terraform
    1. Writing Terraform Scripts
    2. Managing State
    3. Best Practices
  • Configuration Management with Ansible
    1. Playbooks, Roles, Tasks
    2. Ansible Tower
  • Kubernetes Orchestration
    1. Core Concepts: Pods, Services, Deployments
    2. Resource Management with kubectl
    3. Auto-scaling & Security Best Practices

Real-World Lab: Full CI/CD pipeline with Git → Jenkins → Docker → K8s

  • Overview of GenAI in DevOps
  • Tools & Platforms:
    1. Harness, APMs
    2. Amazon CodeGuru
    3. Snyk for Code Analysis
    4. ChatGPT for Automation & Monitoring
  • AI Use Cases in Cloud and DevOps
  • Case Studies & Practical Examples

Mini Practice Project: GenAI-powered CI/CD monitoring & reporting tool

Cloud DevOps Engineer

Become a job-ready Cloud DevOps Engineer with GenAI skills through this intensive 3-month program.

FAQs

Mini Projects
 Online Blood Bank System (Linux + Python)
 Cloud-Based Bus Pass System (AWS/Azure)
 Rural Banking Platform (DevOps + Cloud)

� Capstone Projects
 Serverless Website on AWS
 E-commerce Predictive Analytics
 Movie Recommendation Engine using AWS & Python

  • Azure Account Setup
  • Core Services: Virtual Machines, Blob Storage, SQL Database
  • App Services & Serverless: Azure Functions
  • CI/CD with Azure DevOps
  • Networking: Virtual Networks, Security Center
  • Containerization: AKS (Azure Kubernetes Service)

Mini Project: Deploy a web app with CI/CD pipeline using Azure DevOps

  • DevOps Principles & Workflow
  • Version Control with Git
  • Containerization with Docker
  • Multi-container Applications with Docker Compose
  • Continuous Integration & Jenkins
  1. Jenkins Setup
  2. Pipeline Creation
  3. Plugin Integration
  • Infrastructure as Code (IaC) with Terraform
  • Writing Terraform Scripts
  • Managing State
  • Best Practices
  • Configuration Management with Ansible
  • Playbooks, Roles, Tasks
  • Ansible Tower
  • Kubernetes Orchestration
  • Core Concepts: Pods, Services, Deployments
  • Resource Management with kubectl
  • Auto-scaling & Security Best Practices
    Real-World Lab: Full CI/CD pipeline with Git → Jenkins → Docker → K8s
  • Overview of GenAI in DevOps
  • Tools & Platforms:
  • Harness, APMs
  • Amazon CodeGuru
  • Snyk for Code Analysis
  • ChatGPT for Automation & Monitoring
  • AI Use Cases in Cloud and DevOps
  • Case Studies & Practical Examples
  • Mini Practice Project: GenAI-powered CI/CD monitoring & reporting tool

Projects

Mini Projects

  • Online Blood Bank System (Linux + Python)
  • Cloud-Based Bus Pass System (AWS/Azure)
  • Rural Banking Platform (DevOps + Cloud)

Capstone Projects

  • Serverless Website on AWS
  • E-commerce Predictive Analytics
  • Movie Recommendation Engine using AWS & Python
  • Dedicated Resume Building & LinkedIn Profile Optimization
  • Mock Interviews with Real Industry Experts
  • Job Search Strategy & Weekly Career Check-ins
  • Access to Exclusive Networking & Hiring Events
  • Beginners aiming for a career in DevOps or Cloud Engineering
  • Software Engineers looking to upskill in CI/CD & Cloud
  • System Admins and IT Professionals moving into Cloud/AI
  • Hands-on Training with Real Projects
  • Cloud + DevOps + GenAI Integration
  • 1:1 Mentoring & Career Guidance
  • Access to Recorded Sessions & Resource Material
  • Lifetime Access to Learning Portal

Pay As You Grow!



Flexible pricing that grows with your students, courses, and needs.

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