AWS + Azure Foundation
Build strong fundamentals on services, networking, IAM, monitoring, and cloud governance for both platforms.
AI Native Training Track
Build job-ready cloud skills across both AWS and Azure using an AI-accelerated workflow. Learn architecture, migration, automation, cost control, and platform reliability with hands-on labs.
Build strong fundamentals on services, networking, IAM, monitoring, and cloud governance for both platforms.
Use AI to draft architecture docs, triage alerts, and reduce repetitive cloud operation effort.
Design resilient systems with multi-region, multi-cloud backup, failover, and deployment patterns.
Detailed Training Plan
Computers, servers, operating systems, networking, cloud basics, SDLC, DevOps, CI/CD, Git, security, scripting basics, AWS intro, Linux server creation on AWS, and first EC2 web app deployment.
System-level Linux commands, users and permissions, EBS, networking, logs, AWK/SED/Grep/Cut/find/locate, compression and archiving, cron jobs, script error handling, AWS CLI automation, and EC2 + S3 provisioning via Bash.
Docker fundamentals, Flask and Django container deployment, two-tier and three-tier architecture on AWS, Docker Compose security, ECR/GHCR workflows, and Jenkins declarative pipelines for automated multi-stage delivery.
Kubernetes architecture, Flask/two-tier/three-tier secure deployments, StatefulSets, PV, Ingress, RBAC, Helm, Argo CD, EKS, plus Ansible playbooks, Galaxy roles, handlers, Vault encryption, Jinja2 templates, patching, and secure web automation.
AWS networking foundation, VPC design, load balancing, Auto Scaling, multi-VPC with peering, Terraform workspaces and multi-environment repos, modular IAM/S3/VPC automation, CloudWatch + SNS, Prometheus/Grafana monitoring, compliance architecture, backup/DR, and cost optimization.
Azure fundamentals, VMs, Storage Accounts, ACR, managed databases, networking, load balancing, auto-scaling, backend deployment, Entra ID, managed identity, AKS, monitoring, and Key Vault. Outcome: deploy secure multi-cloud applications, automate infra, run CI/CD and GitOps, and operate production-grade AWS + Azure platforms.
View More Detail ContentHands-on Portfolio
Design and deploy a scalable three-tier commerce architecture with secure networking and managed services.
Implement Git-based release workflows with automated sync, rollback, and environment promotion.
Provision repeatable cloud infrastructure and configuration management for multi-environment delivery.
Build a production-grade CI/CD setup with testing, security checks, and deployment pipelines.
Deploy and manage containerized microservices on EKS with service discovery and scaling strategy.
Architect resilient infrastructure with load balancing, auto recovery, and fault-tolerant patterns.
Establish metrics, dashboards, and alerting workflows for complete infrastructure observability.
Build enterprise-grade Azure infrastructure with secure landing zones, governance, and resilient deployment patterns.
Deploy and operate enterprise AKS workloads with scalable architecture, security controls, and CI/CD integration.
Design segmented multi-tier VNets with routing, security boundaries, and high-availability connectivity.
Implement enterprise monitoring pipelines, dashboards, and alerting workflows across Azure workloads.
Create integrated hybrid cloud architecture with secure networking, shared operations, and cross-cloud reliability.
Pricing Plans
Self Learning Plan
Rs 6000 /month
Guided Learning Plan
Rs 10000 /month
FAQs
No. The program starts from cloud fundamentals and then scales to intermediate implementation patterns.
Yes, the program includes guidance and practice strategy for relevant AWS and Azure certification paths.
Only AWS account will be given and Azure account will create by yourself
This module focuses on architecture portability, cloud service mapping, and reliability strategies across AWS and Azure.