DevOps & Cloud Engineering Bootcamp: Build, Deploy, Scale
Become a cloud computing and DevOps expert with in-demand skills across infrastructure automation, CI/CD, and cloud-native tools — through hands-on projects, real-world deployment scenarios, and a globally recognized certification designed to launch high-impact careers in cloud engineering and DevOps.
Experience structured, hands-on learning as you progress from cloud computing fundamentals to advanced DevOps practices, infrastructure automation, and cloud-native deployment strategies. Learn directly from industry experts who’ve built and scaled real-world systems across AWS, Azure, and other leading platforms. With career-driven flexibility, you’ll study on your schedule through a curriculum aligned to top industry demands. Build a standout portfolio by completing real-world projects—including CI/CD pipeline implementation, container orchestration with Kubernetes, and infrastructure as code—that showcase your expertise to future employers.
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Key Highlights
150+ Hrs of Live Classes & Self-Paced Learning
20+ Industry Projects & Case Studies
Dedicated Career Services Sessions and Placement Services*
Suitable for Technical as well as Non-technical Graduates
24*7 Support
Capstone Projects Completion Certificate to make you Industry-Ready
One-on-One with Industry Mentors
Soft Skills Training
Course content
Module 1: Introduction to Cloud Computing
1.1 What is Cloud Computing?
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- Definition and Evolution
- Benefits of Cloud Computing
- Cloud Service Models (IaaS, PaaS, SaaS)
- Cloud Deployment Models (Public, Private, Hybrid, Multi-cloud)
1.2 Key Cloud Providers
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- Overview of AWS, Azure, and Google Cloud Platform (GCP)
- Comparing Features and Pricing
- Understanding Free-tier Services
1.3 Cloud Computing Use Cases
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- Hosting Applications
- Data Storage and Backup
Module 2: Cloud Infrastructure & Virtualization
2.1 Understanding Virtualization
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- Virtual Machines vs. Containers
- Hypervisors and Virtualization Tools (VMware, VirtualBox)
2.2 Basic Understanding of Linux for DevOps
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- Basics of Linux
- How to work with Linux for DevOps
- Basic Commands for Linux
- Basics of Shell Scripting
2.3 Introduction to Kubernetes & Docker
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- Basics of Containerization
- How Docker Works
- Kubernetes for Container Orchestration
2.4 Networking in Cloud
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- Virtual Private Cloud (VPC)
- Load Balancing and Auto-scaling
Module 3: Version Control with Git & GitHub
3.1 What is DevOps?
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- DevOps Principles and Practices
- Benefits of DevOps Culture
3.2 DevOps Lifecycle & Tools
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- Continuous Integration/Continuous Deployment (CI/CD)
- Infrastructure as Code (IaC) with Terraform and Ansible
- Monitoring and Logging (Prometheus, Grafana, ELK Stack)
Module 4: Hands-on with Cloud and DevOps
4.1 Setting Up a Cloud Account
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- Creating an AWS Free-tier Account
- Deploying a Simple Web Application
4.2 Working with Git & GitHub
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- Version Control Basics
- Creating and Managing Repositories
4.3 Building a CI/CD Pipeline
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- Using Jenkins for Automation
- Deploying an Application with GitHub Actions
Module 5: Security and Best Practices
5.1 Cloud Security Basics
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- Identity and Access Management (IAM)
- Securing Cloud Resources
5.2 DevOps Security Practices
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- DevSecOps Overview
- Compliance and Risk Management
5.3 Cost Optimization Strategies
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- Cloud Cost Management
- Resource Scaling Strategies
Module 6: Amazon Web Services (AWS)
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- Introduction to Cloud Computing & AWS
- Elastic Compute and Storage Volumes
- Load Balancing, Autoscaling, and DNS
- Virtual Private Cloud
- Storage – Simple Storage Service (S3)
- Databases and In-Memory DataStores
- Management and Application Services
- Access Management and Monitoring Services
- Automation and Configuration Management
- AWS Migration
Module 7: DevOps
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- Infrastructure Setup
- Introduction to DevOps
- Version Control with Git
- Containerization Using Docker
- Configuration Management using Puppet (self-paced)
- Configuration Management using Ansible
- Continuous Integration with Jenkins
- Continuous Orchestration Using Kubernetes
- Continuous Monitoring using ELK
- Terraform Modules and Workspaces
Module 8: Cloud Migration
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- Broad Aspects of Migration into Cloud
- Migration of Virtual Machines and Techniques
- Fault Tolerance Mechanisms
Module 9: Data Virtualization
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- What is Virtualization?
- Virtualization is not a new concept: Evolution of Virtualization
- Type of Virtualization
- Server-based Virtualization
- Hypervisor-based Virtualization
- Type 1 vs. Type 2 Hypervisors
- Full vs. Para Virtualization
- Virtual Machine Lifecycle
- Virtual Machine Image: Structure, Formats
- Virtual Machine Instance: Public Cloud Specific Instance, Allocating Resources
- Virtual Machine Instance Networking in Virtual Machine, Amazon Machine Instance
- VM Application
- Container-Based Virtualization
- Container Lifecycle
- Container Image: Structure, Formats
- Container Instance: Allocating Resources to
- Container Instance
- Networking in Containers
- Unikernels: Structure, Formats, Allocation,
- Networking in Unikernels
- Difference Between VM, Containers, and Unikernels
- Network Function Virtualization (NFV)
Type
Module 10: AWS DevOps
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- AWS Code Commit
- AWS Code Build
- AWS Code Deploy
- DevOps Lifecycle using AWS DevOps Tools
- AWS Code Pipeline
Module 11: Python
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- Introduction to Python and IDEs
- Python Basics
- Object-Oriented Programming
- Hands-on Sessions and Assignments for Practice
Module 12: Microsoft Azure
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- Introduction to Microsoft Azure
- Introduction to ARM & Azure Storage
- Introduction to Azure Storage
- Azure Virtual Machines
- Azure App and Container Services
- Azure Networking – I
- Azure Networking – II
- Authentication and Authorization in Azure using RBAC
- Microsoft Azure Active Directory
- Azure Monitoring
- Interview Preparation Sessions
Module 13: Microsoft Azure 305
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- Introduction to Microsoft Azure
- Introduction to ARM & Azure Storage
- Introduction to Azure Storage
- Azure Virtual Machines
- Azure App and Container Services
- Azure Networking
- Azure Networking – II
- Authentication and Authorization in Azure using RBAC
- Microsoft Azure Active Directory
- Multi-Factor Authentication (MFA)
- Migration in Azure
- Azure Data Platform – I
- Azure Data Platform – II
Module 14: DevOps Project & Certification Preparation
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- Capstone Project: Implementing a Full DevOps Pipeline
- Cloud Deployment Best Practices
- Certification Prep (AWS, Azure, Kubernetes)
- Resume Building & Job Interview Preparation
Skills to master
Amazon Web Services
Elastic Compute
VPC
CloudFormation
DevSecOps
Continuous Integration
Devops On AWS
Continuous Monitoring using ELK
Access Management and Monitoring Services
AWS Migration
Version Control with Git
Application Deployment
Load Balancing, Autoscaling and DNS
Tools to master
Master over 40+ industry-standard tools and platforms used across cloud computing, DevOps, automation, monitoring, and infrastructure security. From building scalable cloud environments to automating CI/CD pipelines and managing containerized applications, this program gives you real, practical exposure to the technologies trusted by top engineering teams worldwide. Some of the key tools and platforms you’ll work with include AWS, Azure, Docker, Kubernetes, Terraform, Jenkins, Git, Prometheus, Grafana, ELK Stack, Ansible, Puppet, Veeam, and more.
Roles You’ll Be Qualified For
Cloud Engineer
Design, deploy, and manage scalable and secure cloud infrastructure (AWS, Azure).
DevOps Engineer
Build CI/CD pipelines, automate deployments, manage infrastructure as code (IaC).
Site Reliability Engineer (SRE)
Ensure reliability, performance, and scalability of production systems using DevOps practices.
Cloud DevOps Engineer
Combine DevOps principles with cloud expertise to automate cloud-based systems
Platform Engineer
Develop internal platforms/tools for streamlined software delivery and infrastructure management.
Infrastructure Engineer
Architect and automate server, network, and storage infrastructure in cloud environments.
CI/CD Engineer
Focus on implementing and maintaining continuous integration and deployment workflows.
Cloud Security Analyst
Secure cloud environments by implementing IAM, encryption, and monitoring solutions.
Career Services
Mock Interview Preparation
Priority Access to Career Services
1 : 1 Career Mentorship
Career services
100% Placement Guarantee*
Soft-Skill Training
Profile Building
Certificate of Completion
🎓 Certification Sample
Get a glimpse of the professional certificate you’ll receive upon course completion. Issued by Workpreneur Academy, it validates your expertise in Cloud Computing & Devops, and showcases your skills to employers worldwide.
Testimonials from Industry Leaders
Course Queries Answered
What can I expect from this Cloud Computing and DevOps course?
You’ll gain hands-on experience with real-world tools, work on industry-relevant projects, and master cloud platforms like AWS and Azure. The course is designed to make you job-ready for top roles like Cloud Engineer and DevOps Specialist.
How will I get certified after completing the course?
Upon successful completion, you’ll receive a recognized course certificate. You’ll also be guided to prepare for top industry certifications such as AWS Solutions Architect, Azure Administrator, and Certified Kubernetes Administrator (CKA).
What is the average salary for a Cloud or DevOps Engineer?
According to Glassdoor and PayScale, the average salary for cloud and DevOps professionals ranges from ₹8 LPA to ₹25+ LPA in India, and $100,000+ per year in the US—depending on experience, skills, and certifications.
Do I need programming knowledge to learn Cloud and DevOps?
Basic scripting (like Bash or Python) is helpful but not mandatory. The course includes beginner-friendly modules to help you understand essential scripting and automation concepts used in DevOps workflows.
Which certification exams will this course help me prepare for?
This course helps you prepare for:
- AWS Certified Solutions Architect – Associate
- Microsoft Certified: Azure Administrator
- Certified Kubernetes Administrator (CKA)
- Terraform Associate
- DevOps Foundation
How long does it take to complete the course?
The course can be completed in 12 to 16 weeks, depending on your pace. It's designed with flexibility in mind, so working professionals can balance learning with their schedule.