Program Details

150+ Hours Instructor-Led Sessions
60+ Hours of Self-Paced Videos
200+ Hands-On Exercises
175+ Hours of Learning
10+ Real-World Projects
Well Structured Curriculum
30+ Hours of Problem-Solving Sessions
Numrous Hackathons and Mock Interviews
25+ Auto-Graded Assessments
30+ Hours of Career Coaching

Master the Latest Tools and Technologies

AWSAWS
CSS3Azure
google-cloudGoogle Cloud
Pricing Plans

Our Comprehensive & Training Options Pricing Plans

Standard Plan

One-Time Payment

35k+GST

Trainings + Tool access (Life time) + Internal projects

Choose Package
Value Add Plan

Partial Payment

50k+GST

+ + Stipend

Choose Package
popular
Comprehensive Plan

Advance Package

80k+GST

+ + Laptop

Choose Package
Premium Plan

Complete Package

99k+GST

+ + Placement Support

Choose Package
Cloud Learning Path

Cloud Computing Training Program

step 01
Cloud Fundamentals

Understand core cloud concepts, service models (IaaS, PaaS, SaaS), and deployment models (public, private, hybrid).

step 02
Virtualization & Networking

Learn about hypervisors, virtual machines, containers, and cloud networking fundamentals.

step 03
Cloud Providers Overview

Compare AWS, Azure, and Google Cloud platforms and their core services.

step 04
Compute Services

Master EC2 instances, Azure VMs, Lambda functions, and serverless computing.

step 05
Storage Solutions

Learn about S3, EBS, Azure Blob Storage, and cloud database options.

step 06
Security & Identity

Implement IAM policies, security groups, encryption, and compliance standards.

step 07
Monitoring & Management

Use CloudWatch, Azure Monitor, and other tools for performance tracking.

step 08
DevOps & Automation

Implement CI/CD pipelines, infrastructure as code (Terraform), and configuration management.

step 09
Migration Strategies

Plan and execute cloud migration using the 6 Rs framework (Rehost, Refactor, etc.).

step 10
Cost Optimization

Learn reserved instances, spot pricing, and tools for cloud cost management.

Who Should Attend the Bootcamp

We Provide

Course Journey

Pre-Bootcamp

  • Comprehensive Learning
  • Weekly Instructor-Led Sessions
  • Optional Problem-Solving Sessions
  • Weekly Assessments

Bootcamp

  • 160+ Hours of Training Sessions
  • 200+ Guided Hands-on Exercises
  • 175+ Hours of Learnings
  • 80+ Hours of Self-Paced Videos
  • 30+ Hours of Problem Solving Sessions
  • 30+ Auto-Graded Assessmentss
  • Numrous Hackathons / Mock Interviews

Graduation

  • Internship Programs
  • Training Bootcamp
  • Certification based Trainings
  • Value added Trainings

Capstone

  • Live / Client based Projects
  • Process Orientation Approch
  • Client Feedback

Tech Career Support

  • 15+ Hours of Personalized Career Guidence
  • Interview prepration
  • Resume buildings
  • Soscial Media Marketing
  • Placement Support Services

Cloud Computing Skills You'll Gain

Design and deploy scalable cloud infrastructure on AWS, Azure, and GCP.

Implement Infrastructure as Code using Terraform and CloudFormation.

Configure and manage virtual networks, subnets, and security groups.

Deploy and manage containerized applications using ECS, EKS, or AKS.

Implement serverless architectures with Lambda, Azure Functions, or Cloud Functions.

Configure cloud storage solutions (S3, Blob Storage, Cloud Storage).

Set up cloud monitoring and alerting with CloudWatch, Azure Monitor, or Stackdriver.

Implement identity and access management (IAM) policies.

Optimize cloud costs and resource utilization with reserved instances and auto-scaling.

Design and implement hybrid cloud and multi-cloud architectures.

Configure database services (RDS, Cosmos DB, Cloud SQL).

Implement disaster recovery and backup solutions in the cloud.

image
Bootcamp

Cloud Computing Bootcamp Syllabus

Module 1: Cloud Fundamentals & Core Services

  • Cloud computing concepts and deployment models
  • Comparing AWS, Azure, and Google Cloud platforms
  • Compute services (EC2, VMs, Compute Engine)
  • Storage solutions (S3, Blob Storage, Cloud Storage)
  • Networking fundamentals (VPC, Subnets, Load Balancers)

  • Terraform for multi-cloud provisioning
  • AWS CloudFormation and Azure Resource Manager
  • Configuration management with Ansible
  • CI/CD pipelines for cloud deployments
  • Infrastructure testing and validation

  • IAM policies and role-based access control
  • Security groups and network ACLs
  • Encryption and key management services
  • Compliance frameworks (SOC, ISO, HIPAA)
  • Security monitoring and threat detection

  • Serverless computing (Lambda, Functions, Cloud Run)
  • Container services (ECS, AKS, GKE)
  • Database solutions (RDS, Cosmos DB, Cloud SQL)
  • Message queues and event-driven architectures
  • Multi-region and hybrid cloud designs

  • Cloud monitoring tools (CloudWatch, Azure Monitor)
  • Logging and analytics solutions
  • Cost management and optimization strategies
  • Performance tuning and auto-scaling
  • Cloud migration methodologies and tools
image
FAQs

Cloud Computing Frequently Asked Questions

What's the difference between IaaS, PaaS, and SaaS?

These are the three main cloud service models:

  • IaaS (Infrastructure as a Service): Provides virtualized computing resources over the internet (e.g., AWS EC2, Azure VMs)
  • PaaS (Platform as a Service): Offers hardware and software tools for application development (e.g., Heroku, Google App Engine)
  • SaaS (Software as a Service): Delivers software applications over the internet (e.g., Gmail, Salesforce)

The key difference is the level of abstraction and management responsibility.

For beginners, we recommend starting with:

  • AWS: AWS Certified Cloud Practitioner
  • Azure: Microsoft Certified: Azure Fundamentals
  • Google Cloud: Associate Cloud Engineer

These foundational certifications validate your understanding of cloud concepts and services before moving to more advanced certifications like Solutions Architect or DevOps Engineer.

Consider these factors when choosing a cloud provider:

  • AWS: Market leader with most services and global presence (good for startups and enterprises)
  • Azure: Best for Microsoft ecosystem integration (Windows, .NET, Office 365)
  • Google Cloud: Strong in data analytics, AI/ML, and Kubernetes

Many organizations use multiple clouds (multi-cloud strategy) to leverage each provider's strengths.

Top cloud security risks include:

  • Misconfigured cloud storage (publicly accessible S3 buckets)
  • Inadequate identity and access management
  • Insecure APIs and interfaces
  • Account hijacking and credential theft
  • Lack of visibility into cloud environments

Proper configuration, least privilege access, encryption, and continuous monitoring can mitigate these risks.

Effective cloud cost optimization strategies:

  • Right-size your resources (don't over-provision)
  • Use reserved instances for predictable workloads
  • Implement auto-scaling for variable workloads
  • Clean up unused resources (orphaned volumes, snapshots)
  • Use spot instances for fault-tolerant workloads
  • Monitor spending with cloud cost management tools

Regular cost reviews should be part of your cloud operations.

image