AWS Cloud Computing & DevOps Professional Program with AI & Automation Training

Master Cloud Infrastructure, DevOps, Automation & AI-Powered Cloud Operations

Cloud computing has transformed the way modern organizations build, deploy, manage, and secure applications. Businesses worldwide are rapidly adopting cloud technologies to improve scalability, security, automation, and operational efficiency. Skilled cloud professionals are now among the most in-demand IT experts globally.

Our AWS Cloud Computing & DevOps Professional Program with AI & Automation Training is designed for students, IT professionals, developers, system administrators, and cyber security enthusiasts who want to build practical cloud infrastructure and DevOps skills using Amazon Web Services (AWS).

This industry-focused training combines AWS cloud fundamentals, DevOps tools, Linux administration, automation, AI-powered cloud monitoring, CI/CD pipelines, containerization, infrastructure security, and real-world deployment projects to create job-ready cloud professionals.

Course Overview

• Course Name: AWS Cloud Computing & DevOps Professional Program with AI & Automation Training
• Mode: Online / Offline / Hybrid
• Level: Beginner to Advanced
• Duration: 4 Months / 6 Months / Fast Track
• Training Type: Practical + Live Labs + Real-World Projects
• Certification: Industry-Oriented Completion Certificate
• Career Support: Resume Building + Interview Preparation
• Eligibility: Basic Computer Knowledge

Why Choose This Program?

• ✅ Practical-Oriented AWS Training
• ✅ Real-Time Cloud Infrastructure Labs
• ✅ AI-Powered Cloud Monitoring Concepts
• ✅ DevOps & CI/CD Pipeline Training
• ✅ Linux & Automation Practical Exercises
• ✅ Docker & Containerization Labs
• ✅ Infrastructure as Code (IaC) Training
• ✅ Real-World Cloud Deployment Projects
• ✅ Resume Building & Interview Preparation
• ✅ Beginner to Advanced Learning Structure

What You Will Learn

By the end of this program, students will be able to:

• Understand cloud computing concepts and AWS architecture
• Deploy and manage cloud infrastructure on AWS
• Configure Linux-based cloud servers
• Build CI/CD pipelines for application deployment
• Understand Docker & containerization technologies
• Work with automation and Infrastructure as Code
• Monitor cloud infrastructure using AI-powered concepts
• Implement cloud security best practices
• Troubleshoot real-world cloud infrastructure issues
• Build practical cloud and DevOps skills for enterprise environments

Complete AWS Cloud Computing & DevOps Syllabus

Module 1 – Cloud Computing Fundamentals

• Section 1: Introduction to Cloud Computing
  • What is Cloud Computing?
  • Benefits of Cloud Computing
  • Types of Cloud Models
  • Public, Private & Hybrid Cloud
  • Cloud Service Models
  • IaaS, PaaS & SaaS
• Section 2: AWS Global Infrastructure
  • AWS Regions & Availability Zones
  • Edge Locations
  • AWS Global Network
  • Shared Responsibility Model
  • Cloud Architecture Basics
• Section 3: AWS Account & Billing Basics
  • AWS Account Setup
  • AWS Free Tier
  • Billing Dashboard
  • Budget Monitoring
  • Cost Optimization Basics
• Practical Training: AWS Account Configuration, Cloud Console Navigation, Billing Dashboard Practice, Basic Cloud Deployment

Module 2 – Linux Administration for Cloud

• Section 1: Linux Fundamentals
  • Linux File System
  • Essential Linux Commands
  • File Permissions
  • User & Group Management
  • Package Management
  • Process Monitoring
• Section 2: Linux Networking
  • IP Configuration
  • Network Services
  • SSH Access
  • Firewall Basics
  • Port Management
  • Log Monitoring
• Section 3: Server Administration
  • Web Server Installation
  • Service Management
  • Scheduled Tasks
  • Backup Basics
  • System Hardening
• Practical Training: Linux Command Labs, SSH Access Practice, Web Server Deployment, Linux Administration Exercises

Module 3 – AWS Core Services

• Section 1: EC2 (Elastic Compute Cloud)
  • EC2 Instance Types
  • Launching EC2 Instances
  • Key Pairs & Security Groups
  • Elastic IP Concepts
  • Storage Configuration
• Section 2: AWS Storage Services
  • Amazon S3
  • EBS Volumes
  • S3 Buckets & Policies
  • Storage Classes
  • Backup & Snapshot Concepts
• Section 3: Networking Services
  • VPC Fundamentals
  • Subnets
  • Route Tables
  • Internet Gateway
  • NAT Gateway
  • Security Groups & NACLs
• Practical Training: EC2 Deployment Labs, S3 Bucket Configuration, VPC Network Setup, Cloud Connectivity Exercises

Module 4 – Identity & Security in AWS

• Section 1: IAM Fundamentals
  • IAM Users & Groups
  • Roles & Policies
  • MFA Configuration
  • Access Management
  • Least Privilege Principle
• Section 2: AWS Security Services
  • AWS Shield Basics
  • AWS WAF Concepts
  • Security Best Practices
  • Data Protection Concepts
  • Encryption Fundamentals
• Section 3: Cloud Security Monitoring
  • CloudTrail Basics
  • CloudWatch Monitoring
  • Log Management
  • Security Alerts
  • Threat Detection Basics
• Practical Training: IAM Policy Configuration, Security Group Management, Monitoring Dashboard Setup, Cloud Security Exercises

Module 5 – DevOps Fundamentals & CI/CD

• Section 1: DevOps Fundamentals
  • What is DevOps?
  • DevOps Lifecycle
  • Continuous Integration
  • Continuous Deployment
  • Collaboration & Automation
• Section 2: Version Control with Git
  • Git Fundamentals
  • GitHub Basics
  • Repository Management
  • Branching & Merging
  • Pull Requests
• Section 3: CI/CD Pipelines
  • Jenkins Fundamentals
  • Build Pipelines
  • Automated Deployments
  • Pipeline Stages
  • Deployment Strategies
• Practical Training: GitHub Repository Practice, Jenkins Pipeline Setup, CI/CD Deployment Exercises, Automation Workflow Practice

Module 6 – Docker & Containerization

• Section 1: Container Fundamentals
  • What are Containers?
  • Virtualization vs Containers
  • Docker Architecture
  • Images & Containers
  • Docker Lifecycle
• Section 2: Docker Operations
  • Docker Installation
  • Docker Commands
  • Dockerfile Basics
  • Volume Management
  • Networking Concepts
• Section 3: Container Deployment
  • Docker Compose Basics
  • Multi-Container Deployment
  • Container Monitoring
  • Registry Concepts
  • Container Security Basics
• Practical Training: Docker Container Labs, Image Building Exercises, Multi-Container Deployment, Container Monitoring Practice

Module 7 – Infrastructure as Code & Automation

• Section 1: Infrastructure as Code (IaC)
  • Introduction to IaC
  • Terraform Fundamentals
  • Resource Provisioning
  • State Management
  • Automation Concepts
• Section 2: Configuration Management
  • Ansible Basics
  • Playbooks
  • Server Automation
  • Configuration Templates
  • Infrastructure Automation
• Section 3: Cloud Automation
  • Auto Scaling Concepts
  • Load Balancer Basics
  • Automated Deployments
  • Infrastructure Monitoring
  • Backup Automation
• Practical Training: Terraform Labs, Ansible Automation Exercises, Infrastructure Provisioning, Automation Workflow Practice

Module 8 – AI in Cloud Computing & DevOps

• Section 1: AI Fundamentals for Cloud
  • Introduction to Artificial Intelligence
  • AI in Cloud Computing
  • AI-Powered Infrastructure Management
  • Machine Learning Basics
  • Intelligent Cloud Operations
• Section 2: AI-Powered Monitoring & Analytics
  • AI-Based Performance Monitoring
  • Predictive Infrastructure Analysis
  • Smart Alerting Systems
  • AI Log Analysis
  • Intelligent Resource Optimization
• Section 3: AI-Assisted Automation
  • AI-Based DevOps Automation
  • AI Chatbots for Cloud Support
  • AI-Assisted Troubleshooting
  • Automated Incident Detection
  • AI Security Monitoring Concepts
• Practical Training: AI Monitoring Demonstrations, Cloud Analytics Exercises, AI-Based Alert Analysis, Smart Automation Simulations

Module 9 – Kubernetes & Container Orchestration

• Section 1: Kubernetes Fundamentals
  • Kubernetes Architecture
  • Pods & Deployments
  • Services & Networking
  • Scaling Concepts
  • Cluster Management
• Section 2: Kubernetes Operations
  • kubectl Commands
  • Namespace Management
  • Resource Monitoring
  • Rolling Updates
  • Container Scheduling
• Section 3: Kubernetes Security
  • RBAC Basics
  • Secrets Management
  • Cluster Security Concepts
  • Secure Deployments
  • Monitoring & Logging
• Practical Training: Kubernetes Deployment Labs, Pod Management Exercises, Scaling Demonstrations, Cluster Monitoring Practice

Module 10 – Monitoring, Logging & Troubleshooting

• Section 1: Monitoring Fundamentals
  • Infrastructure Monitoring
  • Application Monitoring
  • Metrics & Logs
  • Performance Analysis
  • Availability Monitoring
• Section 2: Logging & Troubleshooting
  • CloudWatch Logs
  • ELK Stack Basics
  • Troubleshooting Methodologies
  • Incident Analysis
  • Root Cause Investigation
• Section 3: Performance Optimization
  • Cost Optimization
  • Resource Utilization
  • Scaling Strategies
  • High Availability Concepts
  • Disaster Recovery Basics
• Practical Training: Monitoring Dashboard Setup, Log Analysis Exercises, Troubleshooting Labs, Performance Optimization Tasks

Module 11 – Real-World Cloud Projects

• Section 1: Cloud Deployment Projects
  • Web Application Deployment
  • Multi-Tier Architecture
  • Secure Infrastructure Design
  • Load Balancing
  • Backup & Recovery Planning
• Section 2: DevOps Deployment Projects
  • CI/CD Automation
  • Dockerized Deployments
  • Kubernetes Integration
  • Infrastructure Automation
  • Monitoring Integration
• Practical Training: Live AWS Deployment Projects, Enterprise Cloud Simulations, End-to-End Infrastructure Setup, Final Capstone Project

Tools & Technologies Covered

Students will gain hands-on experience with:

• Amazon Web Services (AWS)
• EC2
• S3
• IAM
• VPC
• CloudWatch
• CloudTrail
• Linux
• Git & GitHub
• Jenkins
• Docker
• Kubernetes
• Terraform
• Ansible
• ELK Stack
• Python Basics
• AI-Based Monitoring Platforms

Hands-On Practical Training Included

• ✔ AWS Cloud Infrastructure Labs
• ✔ Linux Administration Exercises
• ✔ CI/CD Pipeline Configuration
• ✔ Docker & Kubernetes Deployments
• ✔ Terraform & Automation Practice
• ✔ AI-Based Monitoring Demonstrations
• ✔ Cloud Security Exercises
• ✔ Enterprise Cloud Simulations
• ✔ Troubleshooting & Optimization Labs
• ✔ Final Capstone Projects

Career Opportunities After This Program

Students can apply for roles such as:

• AWS Cloud Engineer
• DevOps Engineer
• Cloud Administrator
• Site Reliability Engineer (SRE)
• Infrastructure Engineer
• Cloud Support Engineer
• Linux Administrator
• Platform Engineer
• Cloud Security Associate
• Junior DevOps Engineer

Certifications Preparation

This program helps learners prepare for:

• AWS Certified Cloud Practitioner
• AWS Solutions Architect Associate
• AWS SysOps Administrator
• AWS DevOps Engineer
• Docker Certified Associate
• Kubernetes Fundamentals Certifications

Who Should Join This Program?

This course is ideal for:

• Students & Freshers
• System Administrators
• Linux Administrators
• Developers
• DevOps Enthusiasts
• Cloud Computing Aspirants
• IT Support Professionals
• Working Professionals Looking to Upskill

Course Features

• Practical-Oriented Cloud Training: Every concept is taught through live cloud labs, deployments, and real-world simulations.
• AI-Powered Cloud Learning: Learn how Artificial Intelligence is transforming cloud monitoring, automation, analytics, and infrastructure management.
• Enterprise Cloud Environment: Practice deploying and managing enterprise-grade infrastructure on AWS.
• Career Support: Get resume building, interview preparation, and career guidance support.
• Flexible Learning: Choose online, offline, or hybrid learning modes.

Frequently Asked Questions

Is this course beginner friendly?

Yes. The course starts from cloud and Linux fundamentals and gradually progresses toward advanced cloud and DevOps concepts.

Will there be practical training?

Yes. The program focuses heavily on live cloud labs and real-world deployment projects.

Will AI concepts be included?

Yes. Students will learn AI-powered monitoring, automation, analytics, and smart infrastructure concepts.

Will real AWS deployments be included?

Yes. Students will perform practical deployments using AWS cloud services.

Will I receive a certificate?

Yes. Students will receive a professional course completion certificate.

Start Your Cloud Journey Today

Build practical AWS cloud and DevOps skills with AI-powered automation training and become job-ready for modern cloud infrastructure roles.

Enroll Now & Become a Professional AWS Cloud Engineer