


Master advanced cloud infrastructure, optimize enterprise scalability, and lead digital transformation through multi-cloud innovation.
The Post Graduate Program (PGP) in Cloud Computing is an advanced,comprehensive program designed for professionals aiming to architect, deploy, and manage scalable cloud solutions across industries. Building upon the Professional Certificate in Cloud Computing, this program integrates advanced modules in cloud architecture, DevOps automation, cloud security, cost optimization, and multi-cloud management. Learners gain the technical depth and strategic perspective required to lead cloud transformation projects in modern enterprises.
Comprehensive PGP curriculum with 9 modules + 7 enterprise projects across all cloud domains
Advanced Kubernetes, multi-cloud, FinOps, Cloud Native mastery
Executive career acceleration for Cloud Architect leadership roles
9 modules + 7 enterprise projects across 12 months of executive cloud training.
Essential foundation in cloud computing principles and multi-platform expertise.
Evolution, principles, service models (IaaS/PaaS/SaaS), elasticity, scalability, virtualization, resource pooling, strategic cloud adoption advantages.
Data centers, virtualization layers, hypervisors, VM design/configuration, fault tolerance, high availability, load balancing for resilient infrastructure.
Hands-on AWS/Azure/GCP core services: compute, storage, networking, IAM. Multi-cloud deployment models, pricing analysis, cross-platform architectures.
Production cloud operations, security, automation, and migration mastery.
Network segmentation, routing, IAM, encryption, firewalls, intrusion detection, ISO 27001/GDPR compliance for multi-tenant security.
CI/CD with Docker, Kubernetes, Jenkins, Terraform, Ansible. Containerization, Infrastructure as Code (IaC), monitoring pipelines.
AWS Cloud Adoption Framework, Azure Migration Tools, workload assessment, resource optimization, cost governance, sustainable transformation.
Enterprise-grade cloud architecture, hybrid systems, and intelligent serverless solutions.
Microservices, container orchestration, distributed computing, fault-tolerant architectures for millions of users, load balancing, caching.
Hybrid/multi-cloud models, edge computing, IoT data handling, real-time analytics, unified compliant infrastructures across environments.
Serverless computing (AWS Lambda/Azure Functions), AI/ML APIs, data pipelines, event-driven intelligent architectures for scalability.
7 executive-grade projects for Cloud Architect portfolio.
Terraform IaC across AWS/Azure/GCP with CI/CD automation, cost monitoring, and disaster recovery.
Production EKS/AKS/GKE cluster with Istio service mesh, ArgoCD, observability, and autoscaling.
Zero-trust IAM, VPC security groups, WAF, CASB deployment, compliance automation.
Legacy-to-cloud migration with VMware integration, data sovereignty, and hybrid orchestration.
AWS Lambda + SageMaker event-driven AI platform with API Gateway and CloudFront CDN.
Cloud cost governance framework with chargeback, FinOps tooling, and TCO optimization.
Enterprise cloud governance program with multi-cloud strategy, compliance roadmap, and C-level deliverables.
$472B market, $130K+ salaries, 18% CAGR through 2030.
Global cloud market by 2025 - SOURCE: Gartner 2024
Cloud data storage by 2025 - SOURCE: Cybersecurity Ventures
Cloud architect salaries - SOURCE: Glassdoor 2024
Cloud industry growth - SOURCE: Fortune Business Insights 2024
200+
Global Companies
$122K PA
Average CTC
$250K PA
Highest CTC
87%
Average Salary Hike

Learn from leading academicians and several experienced industry practitioners from top organizations.
Personalised workshops based on your proficiency level to help you get on par.
Mix of Live Classes & Recorded lectures for your convenience.
24×7 Student Support, Quick doubt resolution by industry experts.
Leadership benefits from the cloud computing PGP program.
Test your skills and mettle with a capstone project.
Analyze historical election data to predict election outcomes and understand factors influencing voter behavior.
Techniques used: Text Mining, Kmeans Clustering, Regression Trees, XGBoost, Neural Network
Techniques used: Topic Modeling using Latent Dirichlet Allocation, K-Means & Hierarchical Clustering
Techniques used: Linear Discriminant Analysis, Logistic Regression, Neural Network, Boosting, Random Forest, CART
Techniques used: Text Mining, Kmeans Clustering, Regression Trees, XGBoost, Neural Network
Techniques used: Logistic Regression, Random Tree, ADA Boost, Random Forest, KSVM
Techniques used: Market Basket Analysis, Brand Loyalty Analysis
Techniques used: NLP (Natural Language Processing), Vector Space Model, Latent Semantic Analysis
Leading companies that value data skills.







