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Cloud & DevOps AdvancedJob Assurance Program

Cloud Computing & DevOps with Gen AI

Build in-demand cloud and DevOps skills with hands-on projects, industry tools, and Generative AI.

7.8K learners English Updated November 2026

Taught by Neha Verma, Cloud & Security Architect

What you'll learn

  • Use Linux command-line tools and perform basic system administration
  • Manage Linux users and groups and understand networking fundamentals
  • Write shell scripts to automate routine tasks
  • Program in Python using data types, variables, operators, control structures, and functions
  • Use Python for cloud automation
  • Understand AWS services including EC2, S3, EBS, RDS, VPC, and IAM
  • Work with AWS security groups, network ACLs, auto scaling, and load balancing
  • Explore Azure services including Virtual Machines, Blob Storage, Azure SQL, App Service, and Functions
  • Understand Azure networking, identity, security, CI/CD, and AKS
  • Use Git and understand version control workflows
  • Build containerized applications with Docker and Docker Compose
  • Create CI/CD pipelines with Jenkins and cloud build tools
  • Provision infrastructure using Terraform and AWS CloudFormation
  • Automate configuration management with Ansible
  • Deploy and manage applications on Kubernetes
  • Apply cloud security, networking, monitoring, logging, and scaling concepts
  • Explore Generative AI tools and their use in cloud and DevOps workflows
  • Complete practical cloud and DevOps exercises and projects

About this course

Cloud Computing & DevOps with Gen AI is a practical program designed to help learners build skills for modern cloud and DevOps roles. Learn Linux system administration, Python programming, Amazon Web Services (AWS), Microsoft Azure, CI/CD, containers, infrastructure as code, configuration management, Kubernetes, and Generative AI applications in cloud and DevOps. Develop practical experience through exercises, assignments, lab sessions, and projects. The prospectus lists projects such as a serverless website on AWS, a cloud-based bus pass system, an online blood bank system, rural banking using cloud computing, e-commerce predictive analytics, and a movie recommendation engine using AWS. The program also describes career support including mock interviews, resume building, LinkedIn profile review, and assistance from a dedicated placement cell.

  • Cloud Computing
  • DevOps
  • Generative AI
  • AWS
  • Microsoft Azure
  • Linux
  • Python
  • Docker
  • Kubernetes
  • Terraform
  • Jenkins
  • Ansible
  • CI/CD
  • Cloud Automation

Syllabus overview

9 modules · 100 hrs total. Full lessons are delivered inside the Hyskilled app.

Introduction to Linux, operating system basics, command-line essentials, user and group management, networking basics, shell scripting, web server setup, cron jobs, and practical Linux assignments.

Requirements

  • Bachelor’s degree with 50%, as stated in the prospectus
  • Prior coding knowledge is preferred but not required
  • Interest in cloud computing, infrastructure, or DevOps

Who this is for

  • IT administrators, system administrators, and network engineers
  • Software developers looking to specialize in DevOps and cloud solutions
  • Professionals from other backgrounds seeking to transition into IT or cloud careers
  • Learners interested in cloud engineering, automation, and infrastructure

Your instructor

NV

Neha Verma

Cloud & Security Architect

  • 4.7 rating
  • 12,900 learners
  • 1 course

Neha designs resilient cloud infrastructure and security programmes. Her labs focus on real incidents and real tooling.

Frequently asked questions

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