Cloud Computing

Master cloud technologies with hands-on training in AWS, Azure, and Google Cloud. Gain the skills needed to manage cloud infrastructure, security, and digital transformation in today’s tech-driven world.

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Courses Includes

40 Hrs of Sessions

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32 Hrs of Labs

Real-time Use Cases

24/7 Lifetime Support

Certification Based Curriculum

Flexible Schedules

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One-on-one doubt clearing

Career path guidance

Job Support

Course Overview

Cloud Computing

Cloud computing is the backbone of modern business infrastructure, providing scalable, flexible, and cost-efficient computing resources. Platforms like AWS, Azure, and Google Cloud are industry leaders, and professionals with cloud skills are in high demand. This course will help learners understand how cloud technology drives digital transformation and equips them with skills to manage cloud systems, security, and infrastructure.

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Course Content:

  • What is Cloud Computing?
  • History & Evolution of Cloud
  • Characteristics of Cloud (On-demand, Elasticity, Pay-per-use, Shared
    Resources)
  • Benefits of Cloud Computing
  • Cloud Deployment Models: Public, Private, Hybrid, Community
  • Cloud Service Models: IaaS, PaaS, SaaS
  • Use Cases of Cloud Computing (Startups, Enterprises, Governments)
    👉 Outcome: Understand the basics, types, and business benefits of cloud.
  • Basics of Virtualization
  • Hypervisors (Type 1 vs Type 2)
  • Virtual Machines vs Containers
  • Containerization: Docker & Kubernetes Basics
  • Networking in Cloud (VPC, Subnets, VPN)
  • Storage Types (Block, Object, File Storage)
  • Data Centers & Cloud Regions
    👉 Outcome: Learn the foundation of virtualization & cloud infrastructure.
  • Overview of AWS, Microsoft Azure, Google Cloud Platform (GCP)
  • Key Differences & Market Trends
  • Multi-cloud vs Hybrid Cloud Strategy
  • Introduction to Alibaba Cloud, IBM Cloud, Oracle Cloud
    👉 Outcome: Familiarize with major cloud ecosystems.
  • Cloud Architecture Principles
  • Designing for Scalability & Availability
  • Load Balancing & Auto-Scaling
  • Content Delivery Networks (CDN)
  • Fault Tolerance & Disaster Recovery
  • Cloud Migration Strategies (Lift & Shift, Replatforming, Refactoring)
    👉 Outcome: Learn to design reliable & scalable cloud systems.
  • AWS EC2, Azure Virtual Machines, GCP Compute Engine
  • Instance Types & Pricing Models (On-Demand, Reserved, Spot Instances)
  • Serverless Computing (AWS Lambda, Azure Functions, GCP Cloud
    Functions)
  • Container Services (ECS, AKS, GKE, Kubernetes)
    👉 Outcome: Deploy and manage compute resources in cloud
  • Storage Types: Block, File, Object Storage
  • AWS S3, Azure Blob Storage, GCP Cloud Storage
  • Databases in Cloud: RDS, DynamoDB, CosmosDB, BigQuery
  • Backup & Disaster Recovery
  • Data Lifecycle & Archival Policies
    👉 Outcome: Understand how to store, manage, and secure data in the cloud.
  • Virtual Private Cloud (VPC) & Subnets
  • IP Addressing & Routing in Cloud
  • Security Groups, Firewalls & Network ACLs
  • Load Balancers (Application, Network, Global)
  • Identity & Access Management (IAM)
  • Key Management Services (KMS)
  • Cloud Security Best Practices
    👉 Outcome: Secure networking & identity management in cloud.
  • Introduction to DevOps in Cloud
  • Infrastructure as Code (IaC) – Terraform, CloudFormation, ARM Templates
  • CI/CD Pipelines (Jenkins, GitHub Actions, AWS CodePipeline, Azure DevOps)
  • Configuration Management (Ansible, Puppet, Chef)
  • Monitoring & Logging (CloudWatch, Azure Monitor, Stackdriver)
    👉 Outcome: Automate cloud deployments & integrate DevOps.
  • Cloud Governance & Policy Management
  • FinOps: Cost Optimization & Billing Models
  • Compliance Standards (ISO 27001, GDPR, HIPAA, SOC2)
  • Cloud Security Alliance (CSA) Controls
  •  Shared Responsibility Model
    👉 Outcome: Manage compliance, governance & costs in cloud.
  • Cloud AI Services (AWS AI/ML, Azure Cognitive Services, GCP AI Platform)
  • Cloud Big Data Tools (EMR, Dataproc, HDInsight, BigQuery)
  • Data Warehousing (Snowflake, Redshift, Synapse Analytics)
  • Real-Time Data Processing (Kinesis, Kafka, Pub/Sub)
    👉 Outcome: Explore AI/ML and Big Data in cloud environments.
  •  Cloud Migration Frameworks
  • Tools for Migration (AWS Migration Hub, Azure Migrate, Velostrata)
  • Hybrid Cloud Solutions (Azure Arc, AWS Outposts, Anthos)
  • Multi-Cloud Strategies
    👉 Outcome: Learn migration planning & hybrid/multi-cloud solutions.
 
  • Cloud Security Threats & Vulnerabilities
  • Security Monitoring & Alerts
  • Cloud Forensics & Incident Response
  • Business Continuity Planning (BCP) & Disaster Recovery (DR)
  • Case Studies of Cloud Security Breaches
    👉 Outcome: Handle cloud incidents & maintain security compliance.
  • Internet of Things (IoT) in Cloud
  • Blockchain in Cloud
  • Edge Computing & Cloud Integration
  • Cloud-native Application Development (Microservices, Containers)
    👉 Outcome: Exposure to advanced & emerging cloud technologies.
  • Capstone Project: Cloud Deployment (Choose AWS/Azure/GCP)
  • Case Study: Building a Scalable Web App in Cloud
  • Hands-on Assignments (Compute, Storage, Networking, Security)
  • Certification Prep: AWS Solutions Architect, Azure Admin/Architect, GCP
    Associate Cloud Engineer
  • Interview Preparation (Scenario-based Q&A)
    👉 Outcome: Real-time project experience + global certification readiness.
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Project Information for New Learning Outcome Students

Project Overview:

For new learners diving into cloud computing, real-world projects are crucial in solidifying their understanding and providing hands-on experience. Below is a project idea designed for students at the beginning level, focused on cloud technologies such as AWS, Azure, or Google Cloud.

Learning Outcomes:

Tools & Technologies Used:

Project Deliverables:

Impact for Learners:

This project will help students understand how cloud computing works in a real-world environment. They will experience how to build, deploy, and maintain cloud-based systems, equipping them with practical skills that are highly valued in the job market. The project’s hands-on nature will also boost their confidence in handling cloud infrastructures and troubleshooting issues.

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Flexible Learning Options

Choose the training mode that fits your schedule! Whether you prefer self-paced online learning or live on-demand sessions, we provide expert-led training tailored to your needs.

On-Demand Training

Learn Anytime, Anywhere
40 hours of Workday Training videos
100% practical-oriented classes
24x7 learner assistance
Certification guidance provided
Latest version curriculum with covered

Online Training

Live Interactive Learning Experience
Training Duration : 40 HRS.
Monday to Friday : Class
Morning Batch 7Am IST To 11Am IST.
Evening Batch 6Pm IST To 10Pm IST
Weekly 4 Demos Available
Mon/ Wen / Fri/ Sat.

Job Assistance Program

FAQ For Freshers

Cloud computing is the delivery of computing services—such as servers, storage, databases, networking, software, and more—over the internet (the cloud). It allows businesses and individuals to use computing resources on demand, without having to own or maintain the physical infrastructure.

No, cloud computing courses are designed to be accessible for beginners. However, a basic understanding of computers and networks can be helpful. Some knowledge of networking, virtualization, and operating systems will make the learning curve smoother, but they are not mandatory.

The three leading cloud platforms are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. It’s recommended to start with AWS or Azure, as they have the most extensive resources and support.

Yes, there are several certifications available, such as:

  1. AWS Certified Solutions Architect – Associate
  2. Microsoft Certified: Azure Fundamentals
  3. Google Cloud Associate Cloud Engineer These certifications are valuable in demonstrating your cloud knowledge to potential employers.

 

  • With foundational knowledge, you can pursue roles like:
      • Cloud Engineer
      • Cloud Architect
      • DevOps Engineer
      • Cloud Consultant
      • System Administrator

The time required depends on the course and your pace. A basic understanding can be achieved within 3 to 6 months, but mastering advanced topics may take longer.

FAQ For Experienced Professionals

Cloud computing enables businesses to scale their operations efficiently by providing access to resources on demand. It reduces infrastructure costs, improves flexibility, and offers high availability. Many businesses now rely on cloud solutions for their IT needs, which means cloud skills are in high demand.

For professionals with experience in cloud computing, focusing on the following topics will help you advance your skills:

      • Cloud Security: Advanced IAM (Identity and Access Management), encryption, data privacy.
      • Multi-cloud and Hybrid Cloud Architectures.
      • Cloud Automation and Infrastructure as Code (IaC) with tools like Terraform.
      • Serverless Architectures.
      • Cloud Cost Optimization and Management.

Cloud computing has become essential in almost every industry. Having expertise in cloud technologies can make you eligible for senior roles like Cloud Architect, DevOps Engineer, or Cloud Solutions Engineer, which have high earning potential and growth opportunities.

Yes, advanced certifications like:

      • AWS Certified Solutions Architect – Professional
      • Microsoft Certified: Azure Solutions Architect Expert
      • Google Cloud Professional Cloud Architect These certifications will help validate your deep expertise and open doors for leadership roles.

FAQ For Domain Change

Transitioning into cloud computing from fields like software development, networking, or systems administration is a natural step. Start by understanding the core concepts and architectures of cloud platforms. Then, focus on areas relevant to your background:

  • If you're from networking: Learn about cloud networking and virtual private networks (VPNs).
      • If you're from systems administration: Learn about cloud infrastructure and management tools.
      • If you're a developer: Focus on cloud application development, serverless functions, and cloud services.

While programming is not mandatory for all roles in cloud computing, it’s beneficial, especially if you’re working with serverless architectures, automation, or DevOps. Languages like Python, Bash, and JavaScript are commonly used in cloud environments.

      • Domain changers should focus on:
        • Hands-on practice: Build cloud projects to understand the real-world application.
        • Online courses: Platforms like Coursera, Udemy, and Pluralsight offer cloud computing courses that cater to different experience levels.
        • Networking: Join cloud communities, forums, and groups to learn from others' experiences and stay up-to-date with trends.

 

  • Some challenges you might face include:
      • Understanding the complexities of cloud security, networking, and automation.
      • Overcoming the learning curve for cloud-specific tools and services.
      • Adapting to cloud pricing models, as they can be more intricate than traditional IT setups.

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