The Multi-Cloud Training Program is designed to help you develop the skills needed to work confidently across multiple cloud environments. This course offers a balanced combination of theoretical knowledge and hands-on practical experience, enabling you to design, deploy, and manage scalable, secure, and efficient cloud solutions using more than one cloud platform.
You’ll gain a clear understanding of essential cloud service models—Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS)—while learning to architect modern infrastructure and streamline operations in a multi-cloud setup.
Gain hands-on experience in modern DevOps practices integrated across leading cloud platforms—AWS, Azure, and Google Cloud (GCP). This in-depth course empowers you with the skills required to deploy, automate, monitor, and manage scalable cloud-native systems in real-world multi-cloud environments.
Through practical labs, real-time projects, and expert guidance, you’ll learn how to build seamless DevOps workflows, automate infrastructure, and deliver applications with agility and precision.
🔧 Modern DevOps in Multi-Cloud Environments
Implement scalable, cloud-native DevOps strategies across AWS, Azure & GCP for seamless deployment and delivery.
☁️ Multi-Cloud Strategy & Workload Management
Design, distribute, and manage workloads across multiple cloud platforms for flexibility, reliability, and cost optimization.
📦 Containerization with Docker & Kubernetes
Master container-based application deployment using Docker and orchestration using Kubernetes for efficient scaling.
🔁 CI/CD Automation (Jenkins, GitOps, GitLab CI/CD)
Build and manage CI/CD pipelines to automate testing, integration, and deployment across environments.
🧠 Cloud Automation with Python
Leverage Python scripting to automate infrastructure tasks and streamline DevOps processes across cloud platforms.
🔧 DevOps Tools Integration (Ansible, Terraform, Jenkins)
Integrate and operate essential tools for configuration management, infrastructure provisioning, and continuous delivery.
📊 Monitoring & Logging (Prometheus, Grafana)
Set up real-time monitoring, alerting, and performance dashboards using Prometheus and Grafana.
🚀 Workload Migration & Cloud Optimization
Learn migration best practices and performance tuning techniques to move and optimize workloads across clouds.
₹20000
16 Weeks
70+
12
Digital
Courses built on real-world requirements, following the latest IT trends and job market needs.
Learn directly on tools used by top IT teams — from Git & Jenkins to Docker, Terraform, and Azure Pipelines.
End-to-end help with Certification Exams, Mock interviews, Resume prep, and Job Placement.
Choose from weekday or weekend classroom sessions that suityour personal schedule.
Learn from top-level IT professionals with strong industry backgrounds and teaching skills.
Attend a free demo before enrolling and receive one-on-one mentorship throughout your learning journey.
At VyasIT, we believe that every learner deserves recognition for their hard work and dedication. Our Data Science certification process is designed to be quick, transparent, and rewarding.To earn your certification, students must submit all assigned projects and tasks on time. Once the course is successfully completed, certifications will be issued within 7 days, reflecting the knowledge, skills, and effort demonstrated throughout the training.This certificate is not just a document — it’s a valuable career asset that can be proudly added to your resume, showcasing your expertise and commitment in the field of Data Science.At VyasIT, we honor your dedication and help you take the next step forward with a certification that matters.
This program is ideal for IT professionals, DevOps engineers, cloud practitioners, system administrators, and anyone aiming to build a career in DevOps with AWS, Azure, and GCP.
Basic knowledge of Linux, cloud fundamentals, or scripting is helpful, but not mandatory. This course is designed to take you from foundation to advanced level with step-by-step training and projects.
You will gain hands-on experience with all three leading cloud platforms:
Amazon Web Services (AWS)
Microsoft Azure
Google Cloud Platform (GCP)
Key DevOps tools include:
Jenkins, GitLab CI/CD, GitOps
Docker & Kubernetes
Terraform & Ansible
Prometheus & Grafana
Python for Automation
Yes. You’ll work on real-world projects and case studies that simulate actual industry environments to help you gain job-ready experience.
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