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    Masters Program in Cloud Computing

    Masters in Cloud Computing

    The Masters in Cloud Computing program at Veda IT is a comprehensive course designed to provide deep insights into cloud architecture, services, and deployment models. This program is ideal for individuals aspiring to master cloud technologies, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

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    Who Should Join Masters Program in Cloud Computing Course?

    • job offer
      Job Switchers
    • job offer
      Working Professionals
    • job offer
      Engineering Graduates
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      University Students
    • job offer
      Entry-Level Candidates

    Keyskills of Masters Program in Cloud Computing Developer

    A Master's in Cloud Computing develops expertise in designing, deploying, and managing cloud-based solutions. Key skills include cloud architecture, virtualization, DevOps practices, and proficiency with platforms like AWS, Azure, and Google Cloud. The program emphasizes scalability, security, and cost optimization, preparing graduates to build efficient, reliable cloud infrastructures for modern businesses.

    Key Features
    • Covers cloud fundamentals, cloud architecture, DevOps, and multi-cloud strategies.
    • Real-world projects and labs using AWS, Azure, and GCP.
    • Learn from cloud architects and industry professionals.
    • Gain skills aligned with modern cloud computing demands.
    • Offline classes with optional online sessions.
    • Participate in live discussions, peer projects, and code reviews.
    • Access to job placement support, resume building, and interview coaching.
    • Earn a recognized cloud computing certificate from Veda IT upon successful course completion.

    What you'll learn

    The Masters in Cloud Computing program at Veda IT is a comprehensive course designed to provide deep insights into cloud architecture, services, and deployment models. This program is ideal for individuals aspiring to master cloud technologies, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Through this course, students will gain expertise in cloud infrastructure management, serverless computing, cloud security, DevOps, and containerization.

    The curriculum emphasizes hands-on experience, allowing students to work on real-world projects and develop practical skills for cloud solutions architecture, migration, and automation. By the end of the course, you will have a robust understanding of cloud computing’s foundational and advanced aspects, fully prepared to deploy, manage, and secure cloud environments. With support from Veda IT’s career services, you’ll be well-equipped to transition into high-demand roles in cloud computing.

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    Modules Covered

    • Basics of Cloud Computing
    • Benefits and Service Models (IaaS, PaaS, SaaS)
    • Cloud Deployment Models (Public, Private, Hybrid)
    • Fundamentals of Virtualization
    • Working with Virtual Machines (VMs) and Containers
    • Introduction to Hypervisors
    • Cost Optimization in the Cloud

    • Overview of AWS, Azure, and Google Cloud Platform
    • Account Setup and Resource Management
    • Core Services: Compute, Storage, and Networking
    • Hands-On Labs in AWS, Azure, and GCP
    • Cross-Platform Comparisons and Use Cases
    • Cloud Pricing Models and Cost Management
    • Selecting the Right Cloud Platform for Projects

    • Cloud Networking Basics (VPCs, Subnets)
    • Load Balancing and Auto-Scaling
    • Firewalls, Security Groups, and ACLs
    • Identity and Access Management (IAM)
    • Encryption and Data Protection
    • Compliance Standards (HIPAA, GDPR)
    • Cloud Security Best Practices and Tools

    • Introduction to Containers and Docker
    • Docker Image Creation and Management
    • Docker Compose and Multi-Container Environments
    • Introduction to Kubernetes and Cluster Management
    • Kubernetes Deployment and Scaling
    • Monitoring Kubernetes with Prometheus and Grafana
    • CI/CD Pipelines with Docker and Kubernetes

    • Understanding Serverless Architecture
    • Working with AWS Lambda, Azure Functions, GCP Functions
    • Building Microservices on Serverless Platforms
    • API Gateway Integration with Serverless Functions
    • Event-Driven Architecture and Triggers
    • Practical Applications of Serverless
    • Cost Management in Serverless Environments

    • Introduction to DevOps and Continuous Integration
    • CI/CD Pipelines and Automation
    • Infrastructure as Code (IaC) with Terraform and CloudFormation
    • Configuration Management with Ansible
    • Monitoring and Logging Tools (CloudWatch, ELK Stack)
    • Version Control and Collaboration with Git
    • Deploying Cloud-Native Applications

    • Cloud Storage Solutions (S3, Azure Blob Storage)
    • Database Services (RDS, DynamoDB, Cosmos DB)
    • Designing Scalable Database Solutions
    • Data Backup and Disaster Recovery Strategies
    • Implementing High Availability in the Cloud
    • Data Migration to the Cloud
    • Managing Data Lakes and Warehousing

    • Project Planning and Architecture Design
    • Multi-Cloud Deployment and Integration
    • Security and Compliance Implementation
    • CI/CD Pipeline Setup and Automation
    • Monitoring, Logging, and Incident Management
    • Cost Management and Optimization Strategies
    • Presentation of Capstone Project and Peer Feedback

    Learning Path

    Introduction to Cloud Computing and Virtualization

    Understand the fundamentals of cloud computing, virtualization concepts, and deployment models.

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    Cloud Platforms (AWS, Azure, GCP)

    Explore key services and tools offered by leading cloud platforms: AWS, Azure, and Google Cloud Platform.

    Networking and Security in Cloud Environments

    Learn cloud-specific networking concepts and best practices for securing cloud infrastructure.

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    Containerization and Kubernetes Management

    Master containerization with Docker and orchestration using Kubernetes for scalable applications.

    Serverless Computing and Microservices

    Build lightweight, efficient applications using serverless architectures and microservices.

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    DevOps in Cloud Computing and CI/CD Pipelines

    Automate workflows and deployments with DevOps practices and CI/CD pipelines in the cloud.

    Cloud Storage, Database Management, and Backup

    Manage cloud storage solutions, databases, and ensure robust backup and recovery strategies.

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    Capstone Project: Real-World Cloud Solution Deployment

    Implement a complete cloud-based solution to solve a real-world business problem.

    Resume Building and Portfolio Development

    Build a strong resume and portfolio showcasing your cloud projects and expertise.

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    Interview Preparation and Career Support

    Prepare for cloud-related roles with mock interviews, career coaching, and placement assistance.

    Potential Roles

    • Cloud Engineer
    • Cloud Architect
    • DevOps Engineer
    • Cloud Solutions Architect
    • Site Reliability Engineer (SRE)
    • Cloud Security Specialist
    • Infrastructure Engineer
    • Database Administrator (Cloud)
    • Cloud Support Engineer
    • System Administrator (Cloud)
    • IT Consultant (Cloud)
    • Cloud Project Manager
    • Cloud Automation Engineer
    • Solutions Consultant
    • Multi-Cloud Specialist
    • Start Date20/05/2025
    • Enrolled100
    • Lectures50
    • Skill LevelBasic
    • LanguageEnglish,Telugu
    • Quizzes10
    • CertificateYes
    • Pass Percentage100%
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    Masters in Cloud Computing

    The Masters in Cloud Computing program at Veda IT is a comprehensive course designed to provide deep insights into cloud architecture, services, and deployment models.

    Enroll Now

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