INDUSTRY GRADE TRAINING
Multi-Cloud DevOps with Ai
By Veera Sir – Naresh IT
12+ Years Exp
Real-Time Projects
Placement Support
Real-Time Multi-Cloud & AI Projects
Multi-Tier Full-Stack Node.js Deployed on AWS Using 20+ Services
Scalable Python Application on AWS EC2 with Disaster Recovery
Cloud-Native Java Spring Boot on Azure with High Availability
Full-Stack Node.js on GCP with High Availability & Security
Automated DB Migration from EC2 MySQL to Amazon RDS using DMS
On-Premises to AWS Cloud Migration (End-to-End Strategy)
Static Web Hosting on AWS S3 with CloudFront & Lambda Edge
Serverless Backup Automation using AWS Lambda & Boto3
Full-Stack Deployment on AWS ECS Fargate with CI/CD
Monitoring Ecosystem: Prometheus, Grafana & Multi-Server Dashboard
Centralized Logging with CloudWatch & Log Archival to S3
Multi-Cloud IaC Automation (AWS, Azure, GCP) using Terraform
Maven App Deployment on Apache Tomcat using CI/CD
Microservices CI/CD on Kubernetes with Jenkins & EKS
GitLab CI/CD Automation for Node.js Microservices
Azure DevOps CI/CD Pipeline for Java Apps on Docker/AKS
GitOps Implementation with Argo CD & GitHub Actions
Enterprise IAM with AWS SSO & Fine-Grained Policies
Why Multi-Cloud?
- Vendor Independence
- High Availability (Cross-Cloud DR)
- Cost Optimization across AWS/Azure/GCP
- High Demand & Top-Tier Salaries
What You Will Master
- Linux, Shell, Python Boto3
- Docker, Kubernetes, Helm
- Jenkins, Azure DevOps, GitLab
- Terraform & Ansible
Complete Engineering Curriculum
High Level Roadmap
Modules 01 - 35
● Module 01: Aws, Azure And Gcp Cloud Overview
● Module 02: Linux Introduction
● Module 03: AWS Elastic Compute Cloud (ec2)
● Module 04: Azure Virtual Machine (VM)
● Module 05: GCP Compute Engine
● Module 06: AWS Virtual Private Cloud (VPC)
● Module 07: Azure Virtual Network (VNET)
● Module 08: GCP Cloud Virtual Network
● Module 09: AWS S3 Storage Service
● Module 10: Azure Blob Storage
● Module 11: GCP Cloud Storage
● Module 12: Identity and Access Management
● Module 13: Amazon Relational Database and DynamoDB
● Module 14: Security Services (KMS, WAF, Shield)
● Module 15: Serverless Service Lambda
● Module 16: Amazon Route 53 (DNS)
● Module 17: Overview Of DevOps Culture
● Module 18: Shell Scripting & Automation
● Module 19: Web App Servers Configurations
● Module 20: Version Control with Git
● Module 21: Build Tool Maven
● Module 22: SonarQube Code Quality
● Module 23: Continuous Integration – Jenkins
● Module 24: Azure CICD (Pipelines)
● Module 25: Git Lab CICD
● Module 26: Docker (Containerization)
● Module 27: Orchestration using Kubernetes
● Module 28: Azure Kubernetes Service (AKS)
● Module 29: Overview of Argo CD (GitOps)
● Module 30: Continuous Monitoring with Grafana
● Module 31: Ansible (Configuration Management)
● Module 32: Terraform (Infrastructure as Code)
● Module 33: Python Boto3 for AWS SDK
● Module 34: Capstone Multi-Cloud Project
● Module 35: Resume Preparation & Mock Interviews
Section 01
Cloud Foundational Concepts
1. Introduction to Cloud Computing
• What is Cloud Computing? (History & Evolution)
• Key players: AWS, Azure, GCP
2. Cloud Strategy
• Traditional vs. Cloud Infrastructure
• Benefits: Scalability, Elasticity, Flexibility
• Disaster Recovery & Business Continuity
3. Service & Deployment Models
• Public, Private, Hybrid, Community Cloud
• SaaS, PaaS, IaaS (Deep Dive with Examples)
4. Scaling & Economics
• Horizontal vs Vertical Scaling
• Cloud Costing Models: Pay-as-you-go vs Reserved
Section 02
Virtualization & Linux Engineering
1. Virtualization
• Hypervisor Concepts (Type 1 vs Type 2)
• Virtualization vs Containerization
2. Linux Mastery
• Filesystem Hierarchy & Basic Commands
• File Permissions (chmod, chown)
• Process Management & User Administration
• Networking in Linux (iptables, netstat)
Section 03
Multi-Cloud Compute & Networking
1. Compute Services (AWS EC2, Azure VM, GCP GCE)
• Instance Launching (Windows & Linux)
• Key Pairs, Security Groups & Firewalls
• Load Balancers & Auto Scaling Groups
2. Global Networking
• VPC/VNET Design & CIDR Blocks
• Subnets, Route Tables, Internet Gateways
• Peering & VPN Connections
3. Storage Solutions
• Object Storage: AWS S3, Azure Blob, GCP Storage
• Versioning, Lifecycle Policies & Static Hosting
Section 04
Security, Databases & Serverless
1. Identity & Access Management (IAM)
• Roles, Policies, Groups & MFA
• Secrets Manager & KMS Encryption
2. Databases
• Relational: AWS RDS (MySQL, Aurora)
• NoSQL: DynamoDB
• Database Migration Service (DMS)
3. Serverless & DNS
• AWS Lambda: Function as a Service
• Route 53: Routing Policies (Failover, Latency, Geo)
Section 05
DevOps Tools & CI/CD Pipelines
1. Automation
• Shell Scripting: Loops, Conditions, Functions
• Web Server Management: Apache, Tomcat, Nginx
2. CI/CD Stack
• Git: Branching, Merging, Rebase, Stash
• Maven: POM.xml, Dependencies, Build Lifecycle
• Jenkins: Pipeline as Code, Master-Slave Architecture
• Azure DevOps & GitLab CI
Section 06
Containers & Orchestration
1. Docker
• Dockerfile, Image Layers, Networking
• Docker Compose & Volumes
2. Kubernetes (K8s)
• Architecture: Control Plane & Worker Nodes
• Objects: Pods, Deployments, Services, Ingress
• Helm Charts & Package Management
• GitOps with Argo CD
• Monitoring with Prometheus & Grafana
Section 07
Infrastructure as Code (IaC)
1. Ansible
• Agentless Architecture, Playbooks, Roles
• Inventory Management
2. Terraform
• Providers, Resources, State Files, Modules
• Cross-Cloud Deployment (Multi-Provider)
3. Python Boto3
• Programmatic Access to Cloud Resources