🚀 AI Powered DevOps with AWS Online Training 

 



AI-Powered DevOps with AWS is a future-ready course designed to help professionals build, deploy, and manage cloud applications faster and smarter. The course combines DevOps best practices, AWS cloud services, and AI-driven automation to optimize CI/CD pipelines, improve system reliability, and reduce operational costs.

Why this course matters in today’s market

The current IT market demands speed, automation, and intelligence. Companies are rapidly adopting AWS, DevOps, and AI to:

  • Automate deployments and infrastructure

  • Predict failures before they happen

  • Improve performance and security

  • Reduce manual effort and operational risk

Professionals with AI + DevOps + AWS skills are among the most in-demand and highest-paid roles today. This course helps you stay relevant, competitive, and career-ready in a fast-evolving tech landscape.


SCHEDULE

Start Date & Time: 19-Feb | 7.30 AM IST (Thursday)

⏰ Other Time Zones:  18-Feb 8.00 PM (CST) | 9.00 PM (EST) Wednesday

💰 Fee: 300 USD (USA/UK/AUS/Europe) | 19,999 INR (India)

📆 Duration: 15 Weeks (Weekly 5 sessions)

🎓 Trainer: Mr. Madan 

ATTEND TWO FREE DEMO SESSIONS

** Meeting link will be shared with Registered participants.**


TRAINING BENEFITS

  • 🎥 Access to Recorded Videos
  • 📖 Frequently Asked Questions (FAQs)
  • 📝 Thoughtful Assignments
  • 📚 Comprehensive Study Materials
  • 📄 Resume Preparation Assistance
  • 🚀 Career Guidance

DevOps with AWS Course Contents


⚠️ Important Instructions Before Payment ⚠️

  • 🚫 The course fee is non-refundable.
  • 🔹 Payment must be made in full (No EMI/Installments).
  • 📩 You will receive class joining instructions via email before the session.

PAYMENT OPTIONS

🌍 Candidates in USA/UK/AUS/Europe/UAE (PayPal):

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🇮🇳 Candidates in India :

📚Bank Transfer: 

        Name: Pavan Kumar Bhimavarapu

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📱 Pay via GPay/PhonePe/Paytm/UPI:

📩 After making the payment:

  • 📷 Send a screenshot of the payment to pavanoltraining@gmail.com.
  • 📛 Mention the participant's name in the email.

📞 Contact for Queries:

📧 E-Mail: pavanoltraining@gmail.com

 

AI Powered DevOps with Amazon Web Services


Module 1: DevOps Fundamentals

  • Introduction to DevOps

  • What is DevOps?

  • Why DevOps Matters

  • Roles & Responsibilities of a DevOps Engineer

  • DevOps Tools Ecosystem

  • DevOps Lifecycle & Practices

  • Cloud Computing Overview

  • CI/CD Concepts & Overview

Module 2: Software Development Life Cycle (SDLC)

  • Introduction to SDLC

  • SDLC Methodologies

  • Waterfall Model

    • Advantages & Disadvantages

  • Agile Development Methodology

  • Scrum Framework

  • Sprint Planning & Execution

Module 3: Linux Operating System

  • Operating System Fundamentals

  • Linux vs Windows

  • Linux Distributions (Flavors)

  • Linux Architecture

  • Linux Command Line Basics

  • File System & Directory Structure

  • Text Processing & Filters

  • Linux Text Editors (vi, vim, nano)

  • User & Group Management

  • File Permissions & Ownership

  • Process Management

  • Networking Commands

  • Package Management (YUM, APT)

  • Application Deployment on Linux

Module 4: Shell Scripting

  • Introduction to Shell Scripting

  • Why Shell Scripting in DevOps

  • Types of Shells

  • Command Line Arguments

  • Variables & Environment Variables

  • Operators

  • Conditional Statements

  • Loops

  • Case Statements

  • Functions

  • Cron Jobs & Task Automation

Module 5: Maven (Build Automation Tool)

  • Introduction to Build Tools

  • Automated Build Process

  • Maven Overview

  • Maven Installation & Setup

  • Maven Terminology

  • Archetypes

  • Project Creation using Maven

  • Dependency Management

  • Maven Repositories

    • Local

    • Central

    • Remote

  • Maven Goals & Lifecycle

Module 6: Apache Tomcat

  • Client–Server Architecture

  • Web Server vs Application Server

  • Apache Tomcat Overview

  • Tomcat Installation & Configuration

  • Tomcat Directory Structure

  • WAR File Deployment

  • Tomcat Admin Console

Module 7: Git & GitHub (Version Control)

  • Introduction to Version Control Systems

  • Git Fundamentals

  • Git vs GitHub

  • GitHub Account Setup

  • Git Architecture

  • Git Repositories

  • Staging vs Unstaging Area

  • Common Git Commands

  • Branching Strategies

  • Pull Requests & Code Collaboration

Module 8: SonarQube (Code Quality & Analysis)

  • Introduction to Code Review

  • SonarQube Architecture & Setup

  • Quality Profiles

  • Quality Gates

  • Bugs & Vulnerabilities

  • Code Smells & Technical Debt

Module 9: Nexus Repository Manager

  • Introduction to Nexus

  • Nexus Installation & Setup

  • Artifact Management

  • Snapshot & Release Repositories

  • Shared Libraries Management

Module 10: Docker (Containerization)

  • Introduction to Containers

  • Life Before & After Docker

  • Docker Installation & Setup

  • Docker Architecture

  • Docker Registry, Images & Containers

  • Dockerfile

  • Docker Networking

  • Docker Volumes

  • Docker Compose & Docker Swarm

  • Containerizing Applications

    • Spring Boot Application

    • Python Application

    • React & Angular Applications

Module 11: Kubernetes (Container Orchestration)

Kubernetes Fundamentals

  • Introduction to Kubernetes

  • Why Container Orchestration

  • Kubernetes Features & Benefits

  • Kubernetes Architecture

  • Master & Worker Nodes

  • Kubernetes Objects Overview

Kubernetes Setup & Basics

  • Kubernetes Cluster Setup

  • Docker Desktop / Minikube Installation

  • Creating Kubernetes Cluster

  • Kubernetes Configuration Files

  • Context Switching using kubectl

  • Pods & kubectl (Imperative vs Declarative)

  • Basic kubectl Commands

  • Inspecting Kubernetes Objects

  • Kubernetes Generators

YAML & Kubernetes Core Concepts

  • YAML Syntax & Structure

  • Metadata & Naming

  • Labels & Label Selectors

  • Namespaces

  • Kubernetes Dashboard

Workloads & Deployments

  • Pods

  • Multi-Container Pod Design Patterns

  • Replication Controller

  • ReplicaSets

  • Self-Healing Applications

  • Deployments

  • Rolling Updates & Rollbacks

  • Best Practices for Zero-Downtime Deployments

Services & Networking

  • Kubernetes Services Overview

  • ClusterIP, NodePort & LoadBalancer

  • Ingress & Ingress Controllers

  • Ingress Annotations & Rewrite Rules

  • Kubernetes DNS

  • Network Policies

  • Canary & Blue-Green Deployments

Advanced Kubernetes Concepts

  • ConfigMaps & Environment Variables

  • Secrets & Sensitive Data Handling

  • Shared Volumes

  • Persistent Volumes (PV) & PVC

  • StatefulSets & Headless Services

  • DaemonSets

  • Jobs & CronJobs

Amazon EKS (Elastic Kubernetes Service)

  • Introduction to Amazon EKS

  • Creating EKS Cluster (Console & CLI)

  • Connecting to EKS using kubectl

  • Deploying Applications on EKS

  • Pulling Images from ECR & Docker Hub

  • Managed vs Self-Managed Node Groups

  • EKS Networking (VPC CNI & Alternatives)

  • Logging & Monitoring (CloudWatch & Container Insights)

Kubernetes Security & Operations

  • Resource Limits & Quotas

  • Auto Scaling & Manual Scaling

  • Termination Grace Period

  • Init Containers

  • Node Selectors, Affinity & Anti-Affinity

  • Taints & Tolerations

  • Liveness & Readiness Probes

  • Authentication & Authorization

  • ServiceAccounts

  • Security Contexts

  • RBAC (Role-Based Access Control)

Observability & Debugging

  • Cluster Metrics

  • Application Monitoring

  • Container Logs

  • Debugging Kubernetes Applications

Helm (Kubernetes Package Manager)

  • Introduction to Helm

  • Why Helm

  • Helm Architecture & Commands

  • Helm Charts

  • Templates, Functions & Pipelines

  • Helm Repositories

Monitoring & Logging

  • Prometheus & Grafana

  • ELK Stack (Elasticsearch, Logstash, Kibana)

Module 12: Jenkins (CI/CD Automation)

  • Introduction to Jenkins

  • CI/CD Pipeline Concepts

  • Jenkins Installation & Setup

  • Master & Agent Architecture

  • Job Creation

  • Plugin Management

  • User & Security Management

  • Jenkins Pipelines

    • Declarative Pipeline

    • Scripted Pipeline

  • Parallel Stages

  • Error Handling

  • Build Triggers

  • Email Notifications

Module 13: Ansible (Configuration Management)

  • Introduction to Configuration Management

  • Ansible Overview

  • Ansible Installation & Setup

  • Ad-hoc Commands

  • Playbooks

    • Writing & Execution

  • YAML File Structure

  • Tags & Handlers

  • Error Handling

  • Roles & Role Creation

  • Ansible Galaxy

  • Ansible Vault

  • Ansible Tower / AWX

Module 14: Terraform (Infrastructure as Code)

  • Introduction to Infrastructure as Code (IaC)

  • Terraform Overview & Installation

  • Terraform Architecture

  • VS Code Setup for Terraform

  • HCL Basics

  • Resource Management

  • State & Lock Files

  • Infrastructure Provisioning

  • Input & Output Variables

  • Resource Tainting

  • Modules & Workspaces

  • Terraform Vault Integration

Module 15: Trivy (Security Scanning)

  • Introduction to Trivy

  • Installation & Setup

  • Vulnerability Scanning

    • Docker Images

    • File Systems

    • Kubernetes YAML

    • GitHub Repositories

Module 16: Amazon Web Services (AWS)

  • Introduction to Cloud Computing

  • Cloud Benefits

  • IaaS vs PaaS vs SaaS

  • AWS Overview

  • AWS Account Setup

  • AWS Services Overview

  • IAM

  • EC2, AMIs & Key Pairs

  • Security Groups & Load Balancing

  • Auto Scaling

  • EBS Volumes & Snapshots

  • S3, RDS

  • Elastic Beanstalk

  • AWS Lambda

  • CloudWatch, SNS, EFS

  • VPC, EKS, Route 53

  • AWS Billing & Cost Management

Module 17: AI-Assisted DevOps

  • Introduction to AI in DevOps

  • Foundations of AIOps

  • Prompt Engineering for DevOps Engineers

  • Working with Large Language Models (LLMs)

  • AI-Driven Shell Scripting & CLI Automation

  • AI for Monitoring, Observability & Incident Management

  • AI for DevSecOps

  • AI for FinOps & Cost Optimization

  • Building AI Agents for DevOps (Hands-On)

  • Advanced AI Agents for End-to-End DevOps Workflows

  • Capstone Project

  • Future Trends in AI-Driven DevOps


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