AWS Core Foundation
Compute, networking, storage, and IAM fundamentals explained through practical use cases.
AI Native Training Track
AI Powered Cloud Computing with Single Cloud (AWS)
Build production-ready AWS skills with an AI-accelerated workflow. Learn architecture, automation, security, and deployment patterns used by modern cloud teams.
AI-Augmented Operations
Use AI to create architecture docs, troubleshoot incidents, and automate repetitive workflows.
Real Deployment Experience
Ship secure, observable, scalable cloud systems using CI/CD and infra best practices.
Detailed Training Plan
Curriculum and outcomes
Month 1: Foundation + Pre-Course + Linux Basics
Computers, servers, networking, cloud basics, SDLC, DevOps, CI/CD, Git, cloud security, scripting basics, AWS introduction, Linux server setup on AWS, and first EC2 live web app deployment.
Month 2: Advanced Linux + Bash Scripting
System-level Linux administration, EBS volume management, networking and log commands, AWK/SED/Grep/Cut/find tools, and Bash scripting from basics to intermediate with projects, cron jobs, error handling, and AWS CLI automation for EC2 + S3.
Month 3: Docker + Jenkins CI/CD
Docker fundamentals, Flask and Django container deployments, two-tier and three-tier AWS apps, secure Docker files, Docker Compose, ECR/GHCR integration, and Jenkins declarative/multibranch pipelines with shared libraries and deployment agents.
Month 4: Kubernetes + GitOps + Ansible
Kubernetes architecture and deployments (Flask, two-tier, three-tier, MERN), ConfigMaps, Secrets, probes, StatefulSets, Ingress, RBAC, Helm, Argo CD, EKS, plus Ansible playbooks, Galaxy roles, Jinja2 templates, Vault encryption, and secure multi-server automation.
Month 5: AWS Networking, Security, and Terraform
AWS networking foundations, VPC design, secure app deployment with load balancers and Auto Scaling, multi-VPC peering architecture, Terraform setup, workspaces, modular IAM/S3/VPC provisioning, and secure multi-environment infrastructure automation.
Program Outcomes
Build, secure, automate, and monitor production-grade AWS environments using Linux, Bash, Docker, Jenkins, Kubernetes, Ansible, and Terraform, with practical skills in CloudWatch/SNS monitoring, compliance-aware architecture, disaster recovery planning, and cloud cost optimization.
View More Detail ContentHands-on Portfolio
Projects you will build
Production-Ready Three-Tier E-Commerce Platform on AWS
Design and deploy a scalable three-tier commerce architecture with secure networking and managed services.
Kubernetes GitOps Deployment Platform with Argo CD
Implement Git-based release workflows with automated sync, rollback, and environment promotion.
Cloud Infrastructure Automation Platform using Terraform & Ansible
Provision repeatable cloud infrastructure and configuration management for multi-environment delivery.
Production CI/CD Automation Platform
Build a production-grade CI/CD setup with testing, security checks, and deployment pipelines.
Microservices Application Deployment Platform on Amazon EKS
Deploy and manage containerized microservices on EKS with service discovery and scaling strategy.
High Availability Application Infrastructure on AWS
Architect resilient infrastructure with load balancing, auto recovery, and fault-tolerant patterns.
Cloud Monitoring & Observability Platform with Prometheus, Grafana & CloudWatch
Establish metrics, dashboards, and alerting workflows for complete infrastructure observability.
Secure and Scalable Deployment of Flask Application in AWS VPC using Auto Scaling Group
Deploy Flask workloads inside a secure VPC architecture with Auto Scaling for resilient traffic handling.
Secure Multi-VPC Deployment of Flask Application and Jenkins with VPC Peering on AWS
Build isolated app and CI environments across multiple VPCs connected with secure peering and controlled routing.
Enterprise Multi-Branch CI/CD Platform with Jenkins Shared Libraries & Distributed Build Agents
Implement enterprise pipelines using shared libraries and distributed Jenkins agents for scalable delivery workflows.
Enterprise Secure Three-Tier Application Deployment using Kubernetes Secrets & Ansible Vault
Deploy secure three-tier Kubernetes applications with encrypted secret management and automated Ansible orchestration.
Pricing Plans
Choose your learning path
Self Learning Plan
Self Learning
Rs 5000 /month
- Full course access
- Recording session
- Weekly live Q&A session
- Community Support
- More than 100 labs
- Agentic AI Environment (60hrs/month)
Guided Learning Plan
Guided Learning
Rs 7000 /month
- Daily Live Classes (Pre-recorded)
- Monday to Friday only
- AWS Account (50hrs/month)
- Agentic AI Environment (60hrs/month)
- Community Support
- Daily Live Q&A session
- Community Support
FAQs
Common questions
Do I need prior AWS experience?
No. The program starts from cloud fundamentals and then scales to intermediate implementation patterns.
Will I get certification support?
Yes. You receive exam guidance, revision labs, and practice questions aligned to AWS certifications.
How does AI support work in this course?
You get guided prompt templates and lab usage patterns to accelerate troubleshooting and cloud design tasks.