DevOps & Multi-Cloud Computing Training Program
Master modern DevOps practices, cloud infrastructure, automation tools and continuous deployment technologies through comprehensive, industry-oriented training at BBT Toppers Technologies.
Gain practical experience with leading technologies including AWS, Microsoft Azure, Google Cloud, Docker, Kubernetes, Jenkins and Terraform. Develop the technical expertise required to build, automate, manage and deploy modern cloud-based applications.
Industry-oriented curriculum
Expert-led technical training
Hands-on practical sessions
Real-time projects and case studies
Interview Preparation Program (IPP)
Placement assistance and career guidance
& CLOUD
DevOps & Cloud Computing – Transform Your IT Career
The demand for skilled DevOps and Cloud Computing professionals continues to grow as organizations increasingly adopt automation, cloud infrastructure and modern software delivery practices.
At BBT Toppers Technologies, our DevOps & Cloud Computing Training Program is designed to bridge the gap between theoretical knowledge and practical industry requirements. The curriculum combines essential DevOps methodologies, cloud technologies, infrastructure automation and application deployment techniques.
Through structured learning and hands-on implementation, students gain experience working with modern tools and platforms used in real-world IT environments.
Whether you are a fresher looking to enter the IT industry or an experienced professional planning to upgrade your technical skills, this program provides a structured learning pathway toward a successful DevOps and Cloud career.
Our Statistics

Top-NotchFaculty
Trainers at Blueballinstitute are passionate about training, and carry 12+ years of industry experience.

Assignments and Coding Challenges
Sharpen your skills by engaging in coding contests that involve collaborating with your peers.

Guaranteed Job Interviews
Your placement preparation starts from Day 1 and prepares you for guaranteed job interviews across our 2000+ partner companies until you receive your first job offer.

Real-life Projects and Bootcamps
Learners will work on real-life scenarios from various domains to get application knowledge.
Complete Course Curriculum
A Comprehensive Learning Path from Fundamentals to Advanced Cloud Technologies
Our curriculum is structured into specialized learning modules that gradually develop your technical knowledge, practical expertise and professional confidence.
Understanding DevOps and its importance
Evolution of software development methodologies
Waterfall, Agile and DevOps approaches
DevOps lifecycle and principles
Introduction to cloud computing
Public, private and hybrid cloud
Cloud service models – IaaS, PaaS and SaaS
Linux architecture and fundamentals
Linux installation and configuration
File and directory management
User and permission management
Linux commands and administration
Process and service management
Bash scripting fundamentals
Shell scripting for task automation
Python programming fundamentals
Variables, data types and operators
Conditional statements and loops
Functions and modules
Lists, tuples, dictionaries and sets
File handling and exception management
Python scripting for DevOps automation
Introduction to version control systems
Git installation and configuration
Git repositories and workflows
Branching and merging strategies
Commit, push and pull operations
GitHub repository management
Collaboration and code management
Source code version tracking
Introduction to build automation
Understanding Maven and build tools
Jenkins architecture and installation
Jenkins configuration and administration
GitHub and Jenkins integration
Automated build processes
Continuous Integration (CI)
Continuous Delivery and Deployment (CD)
Creating and managing Jenkins pipelines
Introduction to containerization
Docker architecture and components
Docker installation and configuration
Creating and managing Docker images
Running and managing containers
Docker Hub and image repositories
Docker volumes and networking
Docker Compose
Application containerization
Introduction to Kubernetes
Kubernetes architecture
Master and worker nodes
Pods, deployments and services
ConfigMaps and secrets
ReplicaSets and namespaces
Application deployment and scaling
Cluster management
Container orchestration and monitoring
Introduction to Amazon Web Services
AWS global infrastructure
Amazon EC2 – Compute Services
Amazon S3 – Storage Services
AWS IAM – Identity and Access Management
Amazon VPC and networking
AWS RDS and database services
Elastic Load Balancing
Auto Scaling
CloudWatch monitoring
AWS security and resource management
Introduction to Microsoft Azure
Azure architecture and cloud concepts
Azure Virtual Machines
Azure Storage Services
Azure Virtual Network
Azure Active Directory / Microsoft Entra ID
Azure App Services
Azure Resource Management
Azure Monitor and monitoring tools
Cloud security and governance fundamentals
Introduction to Google Cloud Platform
Google Cloud architecture
Compute Engine
Cloud Storage
Virtual Private Cloud
Google Kubernetes Engine (GKE)
Cloud SQL and database services
Identity and Access Management
Cloud deployment and administration
Monitoring and security fundamentals
Introduction to Infrastructure as Code (IaC)
Terraform installation and configuration
Providers, resources and variables
Terraform configuration files
Infrastructure provisioning
Terraform state management
Ansible fundamentals
Ansible playbooks and inventories
Configuration automation
Infrastructure management best practices
Fundamentals of infrastructure monitoring
Prometheus monitoring
Grafana dashboards
Application performance monitoring
Log management fundamentals
DevSecOps introduction
Cloud security fundamentals
Secrets and access management
Security integration into CI/CD pipelines
Introduction to AI-driven DevOps
AI-assisted scripting and automation
AI-powered infrastructure monitoring concepts
AI-assisted troubleshooting
Intelligent log analysis
AI-assisted CI/CD workflow optimization
Cloud resource optimization concepts
End-to-end CI/CD pipeline implementation
Deploying applications using AWS
Containerizing applications with Docker
Kubernetes-based application deployment
Infrastructure provisioning using Terraform
Configuration automation using Ansible
Cloud monitoring using Prometheus and Grafana
Complete DevOps workflow implementation
Practical Projects & Hands-On Learning
Turn Technical Knowledge into Real-World Experience
At BBT Toppers Technologies, we emphasize practical implementation alongside theoretical learning. Students get opportunities to work on project-based exercises that demonstrate how DevOps and cloud technologies are applied in professional IT environments.
Suggested Practical Projects:
Automated Application Deployment Using Jenkins
Docker-Based Application Containerization
Kubernetes Cluster Deployment and Management
AWS Cloud Infrastructure Setup
CI/CD Pipeline Integration with GitHub
Infrastructure Provisioning Using Terraform
Automated Configuration Management Using Ansible
Cloud Monitoring with Prometheus and Grafana
Multi-Cloud Infrastructure Implementation
End-to-End DevOps Automation Project
Program Learning Outcomes
-
Understand modern DevOps methodologies and workflows.
-
Manage Linux environments and automate routine operations.
-
Implement version control and collaborative development.
-
Design and configure CI/CD pipelines.
-
Build and manage containerized applications.
-
Deploy and orchestrate applications using Kubernetes.
-
Provision and manage cloud infrastructure.
-
Automate infrastructure using Terraform and Ansible.
-
Monitor applications and cloud environments.
-
Understand cloud security and DevSecOps practices.
Master the Technologies Behind Modern IT
Explore widely used platforms and tools for cloud infrastructure, application deployment, automation and monitoring.
AWS Cloud
Cloud computing, infrastructure, storage and deployment.
Linux
Operating systems, administration and shell scripting.
Jenkins
Continuous integration and automated deployment.
Docker
Containerization and application packaging.
Kubernetes
Container orchestration and cluster management.
Terraform
Infrastructure provisioning and automation.
Ansible
Configuration management and automation.
Prometheus & Grafana
Infrastructure monitoring and visualization.
Explore Your Future Career Possibilities
Develop the skills to prepare for diverse opportunities across the DevOps and cloud technology ecosystem.
Interview Preparation Program (IPP)
Technical expertise combined with interview readiness can help you approach your career journey with greater confidence. Our IPP focuses on essential preparation and professional development.
Frequently Asked Questions
Yes. Beginners can start with Linux, networking and cloud fundamentals before progressing to automation and advanced DevOps tools.
Prior programming experience is helpful but not essential. Python and Shell scripting fundamentals can be introduced as part of the learning journey.
The proposed curriculum includes AWS, Microsoft Azure and Google Cloud Platform.
Yes. Practical exercises and project-based learning cover CI/CD, cloud deployment, containerization and infrastructure automation.
Depending on your skills and experience, you can explore DevOps Engineer, Cloud Engineer, Cloud Administrator and other related roles.
Our Alumni's are working at
“Unlocking Opportunities: Collaborating with Industry Leaders for Placements”
Ready to Build Your Career in DevOps & Cloud Computing?
TAKE THE NEXT STEP
Learn in-demand technologies, gain practical exposure and prepare for your next career opportunity with BBT Toppers Technologies. Develop practical skills with industry-relevant tools and prepare for exciting opportunities in the IT industry.
Your Learning Journey Starts Here
Build your technical knowledge step by step with practical exercises, automation workflows and cloud-based implementation.
Learning Focus
Fundamentals → Automation → Containers → Cloud → Projects
DevOps & Multi-Cloud Computing Training Program
Master modern DevOps practices, cloud infrastructure, automation tools and continuous deployment technologies through comprehensive, industry-oriented training at BBT Toppers Technologies.
Gain practical experience with leading technologies including AWS, Microsoft Azure, Google Cloud, Docker, Kubernetes, Jenkins and Terraform. Develop the technical expertise required to build, automate, manage and deploy modern cloud-based applications.
Industry-oriented curriculum
Expert-led technical training
Hands-on practical sessions
Real-time projects and case studies
Interview Preparation Program (IPP)
Placement assistance and career guidance
& CLOUD
DevOps & Cloud Computing – Transform Your IT Career
The demand for skilled DevOps and Cloud Computing professionals continues to grow as organizations increasingly adopt automation, cloud infrastructure and modern software delivery practices.
At BBT Toppers Technologies, our DevOps & Cloud Computing Training Program is designed to bridge the gap between theoretical knowledge and practical industry requirements. The curriculum combines essential DevOps methodologies, cloud technologies, infrastructure automation and application deployment techniques.
Through structured learning and hands-on implementation, students gain experience working with modern tools and platforms used in real-world IT environments.
Whether you are a fresher looking to enter the IT industry or an experienced professional planning to upgrade your technical skills, this program provides a structured learning pathway toward a successful DevOps and Cloud career.
Our Statistics

Top-NotchFaculty
Trainers at Blueballinstitute are passionate about training, and carry 12+ years of industry experience.

Assignments and Coding Challenges
Sharpen your skills by engaging in coding contests that involve collaborating with your peers.

Guaranteed Job Interviews
Your placement preparation starts from Day 1 and prepares you for guaranteed job interviews across our 2000+ partner companies until you receive your first job offer.

Real-life Projects and Bootcamps
Learners will work on real-life scenarios from various domains to get application knowledge.
Complete Course Curriculum
A Comprehensive Learning Path from Fundamentals to Advanced Cloud Technologies
Our curriculum is structured into specialized learning modules that gradually develop your technical knowledge, practical expertise and professional confidence.
Understanding DevOps and its importance
Evolution of software development methodologies
Waterfall, Agile and DevOps approaches
DevOps lifecycle and principles
Introduction to cloud computing
Public, private and hybrid cloud
Cloud service models – IaaS, PaaS and SaaS
Linux architecture and fundamentals
Linux installation and configuration
File and directory management
User and permission management
Linux commands and administration
Process and service management
Bash scripting fundamentals
Shell scripting for task automation
Python programming fundamentals
Variables, data types and operators
Conditional statements and loops
Functions and modules
Lists, tuples, dictionaries and sets
File handling and exception management
Python scripting for DevOps automation
Introduction to version control systems
Git installation and configuration
Git repositories and workflows
Branching and merging strategies
Commit, push and pull operations
GitHub repository management
Collaboration and code management
Source code version tracking
Introduction to build automation
Understanding Maven and build tools
Jenkins architecture and installation
Jenkins configuration and administration
GitHub and Jenkins integration
Automated build processes
Continuous Integration (CI)
Continuous Delivery and Deployment (CD)
Creating and managing Jenkins pipelines
Introduction to containerization
Docker architecture and components
Docker installation and configuration
Creating and managing Docker images
Running and managing containers
Docker Hub and image repositories
Docker volumes and networking
Docker Compose
Application containerization
Introduction to Kubernetes
Kubernetes architecture
Master and worker nodes
Pods, deployments and services
ConfigMaps and secrets
ReplicaSets and namespaces
Application deployment and scaling
Cluster management
Container orchestration and monitoring
Introduction to Amazon Web Services
AWS global infrastructure
Amazon EC2 – Compute Services
Amazon S3 – Storage Services
AWS IAM – Identity and Access Management
Amazon VPC and networking
AWS RDS and database services
Elastic Load Balancing
Auto Scaling
CloudWatch monitoring
AWS security and resource management
Introduction to Microsoft Azure
Azure architecture and cloud concepts
Azure Virtual Machines
Azure Storage Services
Azure Virtual Network
Azure Active Directory / Microsoft Entra ID
Azure App Services
Azure Resource Management
Azure Monitor and monitoring tools
Cloud security and governance fundamentals
Introduction to Google Cloud Platform
Google Cloud architecture
Compute Engine
Cloud Storage
Virtual Private Cloud
Google Kubernetes Engine (GKE)
Cloud SQL and database services
Identity and Access Management
Cloud deployment and administration
Monitoring and security fundamentals
Introduction to Infrastructure as Code (IaC)
Terraform installation and configuration
Providers, resources and variables
Terraform configuration files
Infrastructure provisioning
Terraform state management
Ansible fundamentals
Ansible playbooks and inventories
Configuration automation
Infrastructure management best practices
Fundamentals of infrastructure monitoring
Prometheus monitoring
Grafana dashboards
Application performance monitoring
Log management fundamentals
DevSecOps introduction
Cloud security fundamentals
Secrets and access management
Security integration into CI/CD pipelines
Introduction to AI-driven DevOps
AI-assisted scripting and automation
AI-powered infrastructure monitoring concepts
AI-assisted troubleshooting
Intelligent log analysis
AI-assisted CI/CD workflow optimization
Cloud resource optimization concepts
End-to-end CI/CD pipeline implementation
Deploying applications using AWS
Containerizing applications with Docker
Kubernetes-based application deployment
Infrastructure provisioning using Terraform
Configuration automation using Ansible
Cloud monitoring using Prometheus and Grafana
Complete DevOps workflow implementation
Practical Projects & Hands-On Learning
Turn Technical Knowledge into Real-World Experience
At BBT Toppers Technologies, we emphasize practical implementation alongside theoretical learning. Students get opportunities to work on project-based exercises that demonstrate how DevOps and cloud technologies are applied in professional IT environments.
Suggested Practical Projects:
Automated Application Deployment Using Jenkins
Docker-Based Application Containerization
Kubernetes Cluster Deployment and Management
AWS Cloud Infrastructure Setup
CI/CD Pipeline Integration with GitHub
Infrastructure Provisioning Using Terraform
Automated Configuration Management Using Ansible
Cloud Monitoring with Prometheus and Grafana
Multi-Cloud Infrastructure Implementation
End-to-End DevOps Automation Project
Program Learning Outcomes
-
Understand modern DevOps methodologies and workflows.
-
Manage Linux environments and automate routine operations.
-
Implement version control and collaborative development.
-
Design and configure CI/CD pipelines.
-
Build and manage containerized applications.
-
Deploy and orchestrate applications using Kubernetes.
-
Provision and manage cloud infrastructure.
-
Automate infrastructure using Terraform and Ansible.
-
Monitor applications and cloud environments.
-
Understand cloud security and DevSecOps practices.
Master the Technologies Behind Modern IT
Explore widely used platforms and tools for cloud infrastructure, application deployment, automation and monitoring.
AWS Cloud
Cloud computing, infrastructure, storage and deployment.
Linux
Operating systems, administration and shell scripting.
Jenkins
Continuous integration and automated deployment.
Docker
Containerization and application packaging.
Kubernetes
Container orchestration and cluster management.
Terraform
Infrastructure provisioning and automation.
Ansible
Configuration management and automation.
Prometheus & Grafana
Infrastructure monitoring and visualization.
Explore Your Future Career Possibilities
Develop the skills to prepare for diverse opportunities across the DevOps and cloud technology ecosystem.
Interview Preparation Program (IPP)
Technical expertise combined with interview readiness can help you approach your career journey with greater confidence. Our IPP focuses on essential preparation and professional development.
Frequently Asked Questions
Yes. Beginners can start with Linux, networking and cloud fundamentals before progressing to automation and advanced DevOps tools.
Prior programming experience is helpful but not essential. Python and Shell scripting fundamentals can be introduced as part of the learning journey.
The proposed curriculum includes AWS, Microsoft Azure and Google Cloud Platform.
Yes. Practical exercises and project-based learning cover CI/CD, cloud deployment, containerization and infrastructure automation.
Depending on your skills and experience, you can explore DevOps Engineer, Cloud Engineer, Cloud Administrator and other related roles.
Our Alumni's are working at
“Unlocking Opportunities: Collaborating with Industry Leaders for Placements”
Ready to Build Your Career in DevOps & Cloud Computing?
TAKE THE NEXT STEP
Learn in-demand technologies, gain practical exposure and prepare for your next career opportunity with BBT Toppers Technologies. Develop practical skills with industry-relevant tools and prepare for exciting opportunities in the IT industry.
Your Learning Journey Starts Here
Build your technical knowledge step by step with practical exercises, automation workflows and cloud-based implementation.
Learning Focus
Fundamentals → Automation → Containers → Cloud → Projects
