Cloud Computing Training
Master cloud infrastructure and deployment skills with hands-on projects
- AWS, Microsoft Azure, Google Cloud, Docker, Kubernetes, and Terraform
- Live online and offline interactive sessions from top industry professionals
- Guaranteed placement support through our career advancement services
- Understand cloud configuration, virtualization, security, and performance optimization

World-Class Instructors

1:1 with Industry Mentors

55% Avg. Salary Hike

Interview Preparation
What You’ll Learn Learn
Accelerate your career in cloud computing with our Cloud Computing Training at Tech Pragna in Bangalore. This comprehensive course equips you with the skills and techniques to design, deploy, and manage cloud infrastructure—perfect for both beginners and working professionals
Cloud Computing Training – Key Features
- AWS, Microsoft Azure, Google Cloud, Docker, Kubernetes, and Terraform
- Cloud deployment, configuration, security, virtualization, and performance optimization
- Hands-On Projects: Work on real-world cloud scenarios and practical implementations
- Understand cloud services like EC2, S3, RDS, Lambda, Load Balancers, and VPCs
- Live online and offline interactive sessions from top industry professionals
- Guaranteed placement support through our career advancement services
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Cloud Computing Course Curriculum
Module 1: Introduction to Cloud Computing
What is Cloud Computing? Evolution and Benefits
Cloud Service Models (IaaS, PaaS, SaaS, FaaS)
Deployment Models (Public, Private, Hybrid, Multi-Cloud)
Key Cloud Providers (AWS, Azure, GCP) and Their Market Share
Cloud Computing Use Cases Across Industries
Cloud Economics (CAPEX vs. OPEX, TCO)
Career Paths (Cloud Architect, DevOps Engineer, Solutions Architect)
Hands-on: Creating a Free Tier Account on AWS/Azure/GCP
Module 2: Cloud Infrastructure & Virtualization
Virtualization Basics (Hypervisors: Type 1 vs. Type 2)
Compute Resources (VMs, Containers, Serverless)
Storage Options (Block, Object, File Storage)
Networking in Cloud (VPC, Subnets, Load Balancers)
Cloud Security Fundamentals (Shared Responsibility Model)
Hands-on: Launching a VM on AWS EC2 / Azure VM
Lab: Configuring Network Security Groups (NSGs)
Case Study: Netflix’s Cloud Migration
Module 3: Cloud Storage & Databases
Cloud Storage Services (AWS S3, Azure Blob, GCP Cloud Storage)
Database Types (RDBMS vs. NoSQL vs. NewSQL)
Managed DB Services (AWS RDS, Azure SQL, GCP Cloud SQL)
Big Data Solutions (AWS Redshift, Azure Synapse, GCP BigQuery)
Data Migration Strategies (AWS DMS, Azure Data Factory)
Hands-on: Uploading Data to S3 and Setting Up an RDS Instance
Lab: Implementing a Serverless Database (AWS DynamoDB)
Disaster Recovery and Backup Solutions
Module 4: Identity & Access Management (IAM)
IAM Fundamentals (Users, Groups, Roles, Policies)
Multi-Factor Authentication (MFA)
Federated Identity (SAML, OAuth, OpenID Connect)
Privileged Access Management (PAM)
Hands-on: Configuring IAM Policies on AWS/Azure
Lab: Setting Up SSO with Azure AD / AWS SSO
Audit and Compliance (AWS CloudTrail, Azure Monitor)
Case Study: Capital One Data Breach Lessons
Module 5: Cloud Networking & Content Delivery
Virtual Private Cloud (VPC) Architecture
Cloud DNS and Load Balancing (ALB, NLB, CDN)
Hybrid Cloud Connectivity (VPN, Direct Connect, ExpressRoute)
Network Security (NACLs, Firewalls, WAF)
Hands-on: Building a Multi-Tier Architecture in AWS/Azure
Lab: Configuring a CDN (AWS CloudFront / Azure CDN)
Monitoring Network Performance (CloudWatch, Azure Network Watcher)
Case Study: How Spotify Uses Cloud Networking
Module 6: Cloud Security & Compliance
Shared Responsibility Model Deep Dive
Data Encryption (At Rest, In Transit, In Use)
Security Tools (AWS GuardDuty, Azure Security Center)
Compliance Standards (GDPR, HIPAA, SOC 2)
Hands-on: Encrypting S3 Buckets and EBS Volumes
Lab: Implementing a Cloud HSM (AWS KMS / Azure Key Vault)
Penetration Testing in Cloud (AWS Inspector, Azure Pentest)
Case Study: SolarWinds Attack and Cloud Implications
Module 7: DevOps & Cloud Automation
Infrastructure as Code (IaC) with Terraform/AWS CDK
CI/CD Pipelines (AWS CodePipeline, Azure DevOps)
Configuration Management (Ansible, Chef, Puppet)
Container Orchestration (Kubernetes vs. ECS vs. AKS)
Hands-on: Deploying Apps with Terraform
Lab: Building a CI/CD Pipeline for a Web App
Monitoring and Logging (CloudWatch, Azure Log Analytics)
Case Study: How Airbnb Uses Cloud Automation
Module 8: Serverless Computing
Serverless Architecture (AWS Lambda, Azure Functions)
Event-Driven Patterns (SQS, SNS, EventBridge)
Microservices vs. Monoliths in Cloud
Hands-on: Creating a Serverless API (API Gateway + Lambda)
Lab: Building a Chatbot with Serverless (AWS Lex)
Cost Optimization in Serverless
Debugging and Monitoring Serverless Apps
Case Study: How Coca-Cola Uses Serverless
Module 9: Cloud Migration & Hybrid Cloud
- Migration Strategies (Rehost, Refactor, Rearchitect)
- Tools (AWS Migration Hub, Azure Migrate)
- Legacy System Modernization
- Hands-on: Migrating an On-Prem VM to Cloud
- Lab: Setting Up a Hybrid Connection (AWS Outposts / Azure Stack)
- Cost Analysis and Optimization (AWS Cost Explorer, Azure Cost Mgmt)
- Case Study: Dropbox’s Cloud Exit (Lessons Learned)
- Future Trends (Edge Computing, Quantum Cloud)
Module 10: Big Data & AI in Cloud
Big Data Services (AWS EMR, Azure HDInsight)
Machine Learning in Cloud (AWS SageMaker, Azure ML)
AI Services (Rekognition, Cognitive Services)
Hands-on: Training an ML Model on Cloud
Lab: Building a Data Pipeline (AWS Glue / Azure Data Factory)
IoT and Cloud Integration (AWS IoT Core, Azure IoT Hub)
Case Study: How Tesla Uses Cloud AI
Ethics in Cloud AI
Module 11: Advanced Cloud Architectures
Multi-Cloud Strategies (Anthos, AWS Outposts)
High Availability (HA) and Fault Tolerance
Disaster Recovery (Pilot Light, Warm Standby)
Hands-on: Designing a Multi-Region Architecture
Lab: Auto-Scaling and Load Testing
Cloud-Native Design Patterns
Case Study: Netflix’s Chaos Engineering
Preparing for Cloud Certifications (AWS/Azure/GCP)
Module 12: Capstone Project & Career Prep
Real-World Cloud Project (Migration, SaaS App Deployment)
Building a Cloud Portfolio (GitHub, Blog)
Resume Tips for Cloud Roles
Mock Interviews (Scenario-Based Questions)
Certifications Roadmap (AWS/Azure/GCP)
Freelancing vs. Corporate Cloud Careers
Cloud Communities and Open Source Contributions
Final Presentation: Architecting a Cloud Solution
Master In-Demand Skills with Practical, Industry-Based Learning
What Role Does Cloud Computing Professional Play?
Cloud Engineer
Designs, deploys, and maintains cloud infrastructure to ensure scalable, secure, and cost-efficient solutions across AWS/Azure/GCP
Cloud Administrator
Monitors daily cloud operations, manages resources, optimizes costs, and ensures seamless performance of cloud services
Cloud Security Engineer
Implements security controls (IAM, encryption, firewalls), conducts vulnerability assessments, and ensures compliance with industry standards
Cloud Support Specialist
Provides technical support for cloud services, resolves issues, and assists users with deployment, storage, and networking challenges
Cloud Solutions Architect
Designs end-to-end cloud solutions aligned with business needs, including hybrid/multi-cloud strategies and serverless architectures
Cloud Consultant
Advises organizations on cloud adoption, migration strategies, cost optimization, and best practices for performance and security
Skills Covered
Cloud Deployment
Infrastructure as Code
AWS/Azure/GCP CLI
Automation Scripting
Cost Optimization
Containerization
IAM
Technical Documentation
Disaster Recovery
Multi-Cloud Governance
12+ Data Science Tools Covered

Career Services


Placement Assistance

Personalized Guidance

Mock Interview Preparation

One-on-One Mentoring session

Career Oriented Seesions

Resume & LinkedIn Profile Building
How our program works
Enhance Your Skills to Transform Your Career Path
- Gain official proof of your expertise from a trusted institution, increasing your value in the eyes of employers and clients.
- Stand out in competitive job markets and unlock better job roles, promotions, or freelance opportunities.
- Certifications ensure your skills are aligned with current industry standards, making you job-ready from day one.
- Completing a certified course strengthens your belief in your capabilities and readiness to tackle real-world challenges.
- Join a professional community, gain access to hiring managers, and receive support from placement partners and mentors.

Cloud Computing Projects Covered




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Cloud Computing Training FAQs
What tools will I use in cloud computing?
Answer:
Infrastructure as Code (IaC): Terraform, AWS CloudFormation.
Containers: Docker, Kubernetes.
CI/CD: Jenkins, GitHub Actions.
Monitoring: AWS CloudWatch, Azure Monitor
How do I practice cloud skills?
Answer:
Free tiers: AWS Free Tier, Azure $200 credit.
Labs: Qwiklabs, Cloud Academy.
Projects: Deploy a website, build a serverless app.
What’s the difference between DevOps and cloud computing?
Answer:
Cloud Computing: Focuses on delivering services (storage, VMs, databases).
DevOps: Uses cloud tools to automate software delivery (CI/CD, IaC)
What programming languages are useful for cloud?
Automation: Python, Bash.
Infrastructure: Terraform (HCL), YAML/JSON.
DevOps: Go, Ruby (for scripting).
Do you provide placement assistance?
Yes, many programs offer placement support, interview preparation, and resume building services
Is this course available online or offline?
Tech Pragna are offered in both online and offline
What’s the hardest part of learning cloud computing?
Complexity: Managing multi-cloud environments.
Security: Understanding shared responsibility models.
Cost control: Avoiding unexpected cloud bills.
What Our Learners Have To Say




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