


Gain hands-on cloud experience through real-world projects, tools, and expert mentorship.
The Professional Certificate in Cloud Computing is an industry-aligned program designed to help learners build a strong foundation in cloud infrastructure, virtualization, and automation.The comprehensive curriculum blends theory with practice through platform-based learning and applied projects. Participants gain the skills to design, deploy, and manage scalable cloud systems across leading platforms. This program is ideal for students, professionals, and IT practitioners seeking to advance in the fast-growing cloud technology domain.
Comprehensive cloud foundation with 6 modules + 4 enterprise projects across AWS, Azure, GCP
Advanced Kubernetes, multi-cloud architecture, FinOps, Cloud Security mastery
Cloud Architect and Senior DevOps Engineer career acceleration pipeline
6 core modules + 4 production cloud projects across 6 months.
Six foundational courses for enterprise cloud 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.
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.
4 enterprise-grade projects for Cloud Architect portfolio.
Terraform IaC across AWS/Azure/GCP with CI/CD automation and cost monitoring.
Production EKS/AKS/GKE cluster with service mesh, autoscaling, and observability.
IAM policy optimization, VPC security groups, WAF deployment, compliance audit.
Cloud cost analysis, rightsizing, reserved instances, savings plans implementation.
Designed to launch your career as Cloud Architect in enterprise multi-cloud systems.
Multi-cloud mastery across AWS, Azure, Google Cloud platforms.
Live sessions, hands-on labs, architect mentorship.
Deployed Kubernetes clusters, multi-cloud pipelines, FinOps strategies.
Cloud Engineer → Cloud Architect career acceleration.
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.
Enterprise cloud benefits from joining this professional 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.







