MultiCloud DevSecOps with Integrated AI & Python Course in Hyderabad

Master modern cloud technologies with SIRI AI TECH HUB’s MultiCloud DevSecOps with Integrated AI & Python Course in Hyderabad. This industry-focused program is designed for freshers, graduates, and IT professionals who want to build expertise in AWS, Microsoft Azure, Docker, Kubernetes, Terraform, Python, CI/CD, DevSecOps, GitHub Copilot, AI-powered automation, and Cloud Infrastructure. Gain hands-on experience through 21+ real-time industry projects, practical labs, and expert mentorship to become an industry-ready MultiCloud DevSecOps Engineer.

Course Duration

4.5 – 5 Months

About Us !

Call Now

+91 9949299943

Office Address

4th floor, Outoff The Box, Mindspace Rd, P Janardhan Reddy Nagar, Gachibowli, Hyderabad, Telangana 500081

Company mail id

siritechhub@gmail.com

Course Description

The MultiCloud DevSecOps with Integrated AI & Python course is designed to provide a complete learning journey in Cloud Computing, DevOps, DevSecOps, Artificial Intelligence, and Python Automation. This comprehensive program covers leading cloud platforms including Microsoft Azure, Amazon Web Services (AWS), Kubernetes, Docker, Terraform, Jenkins, and Azure DevOps, along with advanced security tools such as Checkov, Trivy, Gitleaks, and SonarQube. Through hands-on labs, live deployments, and 21+ real-time industry projects, learners gain practical experience in designing, automating, deploying, monitoring, and securing enterprise-grade cloud applications.

Learning Objectives

By the end of this course, you will be able to:

Understand and implement IaaS, PaaS, and SaaS solutions on Azure and AWS.
Build modern CI/CD pipelines using Jenkins, Azure DevOps, and Harness.
Deploy and manage containerized applications using Docker, Kubernetes, and Helm.
Automate cloud infrastructure with Terraform and Ansible.
Integrate DevSecOps security tools including Checkov, Trivy, and Gitleaks into CI/CD workflows.
Implement AI-powered automation (AIOps) for intelligent monitoring, security, and cloud operations.
Gain practical experience through 21+ real-world industry projects and hands-on labs.

Who Should Enroll?

This course is ideal for:

Software Developers and DevOps Engineers looking to transition into Cloud & DevSecOps.
Cloud Engineers and IT Professionals seeking expertise in Multi-Cloud technologies.
System Administrators and Infrastructure Engineers.
Students and Fresh Graduates aiming to build a career in Cloud Computing and DevOps.
Professionals interested in AI-powered Cloud Automation and Security.

Training Resources

Modern Learning Environment

Spacious, air-conditioned classrooms with advanced learning facilities.
Interactive sessions using projectors, practical demonstrations, and collaborative learning.
Comfortable environment designed for effective technical training.

Flexible Training Schedule

Regular instructor-led classes from Monday to Friday.
Dedicated lab sessions for additional hands-on practice.
Real-time project environment that simulates enterprise workflows.

Hands-On Practice Labs

Dedicated cloud and DevOps labs with extended access.
Daily practical sessions to strengthen technical skills.
Continuous support from experienced trainers and junior mentors.
Weekly assessments, mock interviews, and technical evaluations every Saturday.

Course Outline

Module 1: AI Agent – GitHub Copilot Workspace

Introduction to GitHub Copilot
AI-Assisted Coding with VS Code
Code, YAML & Script Generation
Infrastructure as Code (IaC) Automation using AI

Module 2: AI Chatbox – Claude

Introduction to Claude AI
Conversational AI Workflows
Prompt Engineering Techniques
AI-Based Productivity & Automation

Module 3: AI Deployment – Harness

Introduction to Harness CI/CD
Building Intelligent Deployment Pipelines
Automated Rollback & Failure Detection
Deploying Applications with Harness AI

Module 4: Azure AI Foundry

Introduction to Azure AI Foundry
Azure AI Foundry Architecture
Building and Deploying AI Agents
Integrating AI Models with DevOps Workflows
Working with Hubs, Projects & AI Playgrounds

Module 5: Kubectl AI

Introduction to Kubectl AI
Managing Kubernetes with AI-Powered Commands
Simplifying Kubernetes Operations
Improving Cluster Management Efficiency

Module 6: AIOps for Cloud & DevOps

Introduction to AIOps
Predictive Analytics for Cloud Operations
AI-Based Log Monitoring & Alerting
Automated Cloud Infrastructure Healing

Module 7: AI for Infrastructure as Code (IaC)

AI-Powered Terraform & Ansible Code Generation
Infrastructure Code Validation
Automated Documentation & Linting
Policy Compliance Using AI

Module 8: AI for Kubernetes Troubleshooting

Kubernetes Troubleshooting Fundamentals
Resolving Pod, Network & Scaling Issues
AI-Assisted Kubernetes Diagnostics
Kubectl AI Plugins
K8sGPT for Intelligent Troubleshooting
Azure OpenAI for Root Cause Analysis (RCA)

Module 9: GitHub Copilot & AI Pair Programming

Introduction to GitHub Copilot
Setting Up Copilot for PowerShell, Bash, Terraform, Kubernetes & YAML
AI Pair Programming
Prompt Engineering for DevOps & Infrastructure Automation

Module 10: Azure Cloud Services

10.1 Introduction to Azure Cloud Infrastructure

Cloud Computing Fundamentals
Azure Account Setup
Azure Subscriptions & Tenants
IaaS, PaaS & SaaS Services

10.2 Azure Networking

Azure Virtual Networks (VNet)
Subnets & Network Connectivity
VNet Peering
Azure VPN Gateway
User Defined Routes (UDR)
Azure Service Endpoints
Hub & Spoke Architecture
Azure–AWS IPSec VPN Connectivity

10.3 Network Security Groups (NSG)

Introduction to NSGs
Inbound & Outbound Security Rules
Rule Priority & Processing
Service Tags
Application Security Groups (ASG)

10.4 Azure Virtual Machines

Azure Virtual Machine Fundamentals
VM Deployment & Management
Storage Configuration
Availability Sets
Fault & Update Domains

10.5 Azure Load Balancing

Azure Load Balancer Overview
Basic & Standard Load Balancers
Azure DNS Configuration
Domain Registration & DNS Records
High Availability with Load Balancing

10.6 Azure Application Gateway

Azure Application Gateway Architecture
Path-Based Routing
SSL Offloading
Multi-VM Application Deployment

10.7 Azure Virtual Machine Scale Sets (VMSS)

Introduction to VM Scale Sets
Custom VM Images
VMSS Deployment
Auto Scaling & Performance Testing

10.8 Planning & Implementing Azure Storage

Azure Storage Account Fundamentals
Blob Storage & Azure File Shares
Azure File Sync Configuration
Azure Storage Explorer
Storage Access & Permission Management
Static Website Hosting with Custom Domains

10.9 Backup & Disaster Recovery

Backup & Disaster Recovery Fundamentals
Backup for VMware, Azure VMs & Azure SQL
Azure Replication & Failover Groups
Azure Recovery Services Vault
Business Continuity & Disaster Recovery (BCDR)

10.10 Azure SQL Database

Azure SQL Database Overview
PaaS vs IaaS SQL Databases
Structured & Unstructured Data
Database Transaction Units (DTUs)
Global Replication & Failover Configuration

10.11 Azure App Services

Azure App Service Fundamentals
Web App Deployment & Management
App Service Plans
Deployment Slots
Scaling & High Availability

10.12 Diagnostics, Monitoring & Analytics

Azure Monitor & Alerts
Log Analytics
Azure Key Vault
Secrets & Credential Management
Azure Pipelines Integration
Infrastructure Monitoring
ELK Stack Integration
Centralized Logging & Analytics

Module 11: Infrastructure as Code (IaC) – Terraform + Checkov

11.1 Terraform Fundamentals

Introduction to Terraform
Infrastructure Automation
Terraform Installation & Setup
Providers & Resources
Terraform Configuration Files
Terraform Plan, Apply & Destroy
Terraform Registry & Outputs

11.2 Terraform Variables & Modules

Variables & Output Files
Terraform Modules
Module Development
Module Registry

11.3 Terraform with Azure – Lab Part 1

Azure Environment Setup
Resource Groups
Azure Storage Accounts
Remote State Management
Data Sources & Templates

11.4 Terraform with Azure – Lab Part 2

Virtual Networks & Subnets
Network Security Groups (NSGs)
Checkov Installation
Policy & Compliance Validation
Hands-on Security Scanning Labs

Module 12: DevOps – Azure DevOps + Gitleaks

12.1 Introduction to DevOps

DevOps Fundamentals
DevOps Evolution
Agile, Scrum & Waterfall Methodologies

12.2 Azure DevOps

Azure DevOps Services
Azure DevOps Project Setup
Azure DevOps Dashboard
Scenario-Based Exercises

12.3 Azure Boards

Work Item Management
Board Configuration
Iterations & Sprint Planning
Backup & Migration

12.4 Repository Management

Version Control Systems
Git Fundamentals
Advanced Git Commands
Talisman Security

12.5 Azure Repos

Azure Repository Management
Multi-Branch Strategy
Pull Requests
Branch Policies & Tags

12.6 Service Connections & Agent Pools

Service Connections
Service Principals
Microsoft Hosted Agents
Self-Hosted Agent Pools

12.7 Azure Pipelines (YAML)

YAML Fundamentals
Continuous Integration (CI)
Build Pipelines
Variables & Triggers
Deployment Groups & Environments

12.8 Release Pipelines

Continuous Delivery (CD)
Classic & YAML Releases
Deployment Strategies

12.9 Maven & SonarQube

Maven Build Tool
SonarQube Integration
Code Quality Analysis
Publish Quality Gates

12.10 Azure Artifacts

Private Package Feeds
Dependency Management
Package Publishing

12.11 Azure Administration

Organization Settings
Azure Active Directory (Entra ID)
User & Permission Management
Retention Policies
Gitleaks Installation
Secret Scanning
CI/CD Security Integration

Module 13: Docker + Trivy

13.1 Docker Installation

Docker Engine Installation
Docker Desktop vs Docker Server
Version Management

13.2 Docker Architecture

Docker Components
Images & Containers
Application Deployment

13.3 Docker Networking

Docker Networks
Bridge, Host & Overlay Networks
Docker Network Plugins

13.4 Docker Storage

Volumes & Bind Mounts
Docker Images
Dockerfiles
Docker Hub
Trivy Installation
Container Image Security Scanning
CI/CD Security Integration

Module 14: Kubernetes + Security

Kubernetes Fundamentals
Kubernetes Architecture
Cluster Setup & Configuration
ReplicaSets & Deployments
Services & Ingress
Storage Volumes
Namespaces
Azure Kubernetes Service (AKS)

Module 15: Ansible Automation

Ansible Installation
Inventory Management
Ansible Modules
Playbooks & Roles
Ansible Galaxy
Azure DevOps Integration

Module 16: Container Security & Monitoring – ELK Stack

16.1 Helm Charts

Helm Fundamentals
Helm Installation
Helm Commands

16.2 Monitoring & Observability

Prometheus Setup
Grafana Configuration
Metrics Visualization
ELK Stack Fundamentals
ELK Installation
Monitoring & Alerting
Dashboards & Log Analytics

Module 17: Amazon Web Services (AWS)

17.1 AWS Networking

AWS Cloud Fundamentals
Virtual Private Cloud (VPC)
VPC Peering & Connectivity
VPN & Transit Gateway
Security Groups & Network ACLs
Elastic Load Balancer (ELB)
Route 53 & DNS Management
CloudWatch & VPC Flow Logs

17.2 Identity & Access Management (IAM)

AWS IAM Fundamentals
Users, Groups & Roles
IAM Policies
Multi-Factor Authentication (MFA)
Identity Federation
Cross-Account Access
AWS Organizations
Service Control Policies (SCP)

17.3 Compute Services

Amazon EC2 Fundamentals
Launch Templates
EC2 Deployment & Management
PuTTY Configuration
Amazon Machine Images (AMI)

17.4 Storage Services

Amazon S3
Amazon EBS
Storage Gateway
Snapshots & Backup
Lifecycle Policies
Amazon S3 Glacier

17.5 Database Services

Amazon RDS
Amazon Aurora
High Availability
Backup & Disaster Recovery
Performance Optimization
Cost Optimization

17.6 Management & Governance

AWS Organizations
AWS Control Tower
AWS Cost Explorer
AWS Budgets
AWS Systems Manager
AWS Config Rules

Module 18: Jenkins

SDLC & Continuous Integration
Jenkins Architecture
Jenkins Installation & Configuration
Plugin Management
Freestyle Jobs
Pipeline Jobs
Master-Agent (Master-Slave) Configuration

Module 19: Python for DevOps

19.1 Python Fundamentals

Introduction to Python
Python Installation
Environment Setup
Python Scripting

19.2 Data Types & Variables

Python Data Types
Variables
Coding Best Practices

19.3 Functions & Modules

Functions
Function Parameters
Python Modules
Third-Party Libraries

19.4 Control Flow

Conditional Statements
Loops
Loop Control Statements

19.5 File Handling

Reading & Writing Files
JSON Processing
CSV Processing
File Management Best Practices

19.6 Python Socket Programming

Socket Programming Basics
Client-Server Communication

19.7 AWS Automation with Boto3

AWS SDK (Boto3)
AWS Resource Automation

19.8 Docker Automation

Docker Python SDK
Container Automation
Container Management

19.9 Kubernetes Automation

Kubernetes Python SDK
Kubernetes Deployment Automation
Pods, Deployments & Services Management

Module 20: Real-Time Industrial Projects

Azure DevOps CI/CD Projects
AWS Infrastructure Projects
Jenkins Automation Projects
Docker Containerization Projects
Kubernetes Deployment Projects
Terraform Infrastructure Projects
End-to-End Cloud & DevOps Projects

Course Duration

Duration: 5 Months
Weekly Activities: Classes, Hands-on Labs, Weekly Exams, Mock Interviews & Live Projects

Learning Methodology

Interactive Classroom Sessions
Practical Hands-on Labs
Real-Time Industry Projects
Weekly Assessments & Mock Interviews
Instructor & Community Support

Certification

MultiCloud DevSecOps Mastery Certification
Cloud Computing & DevOps Validation
DevSecOps & Security Automation Skills
AI-Powered Cloud Operations Certification
Industry-Ready Project Portfolio

Contact Us

Ready to start your IT career? Get in touch with our team for course details, batch schedules, demo sessions, and enrollment assistance. We’re here to guide you every step of the way.

Office Address

4th floor, Outoff The Box, Mindspace Rd, P Janardhan Reddy Nagar, Gachibowli, Hyderabad, Telangana 500081

Company mail id

siritechhub@gmail.com

Call Now

+91 9949299943

Get In Touch With Us!

MultiCloud DevSecOps with Integrated AI & Python

Build a future-ready career with our MultiCloud DevSecOps with Integrated AI & Python Course in Hyderabad, designed for freshers, IT professionals, system administrators, and cloud engineers. This comprehensive program covers Microsoft Azure, Amazon Web Services (AWS), DevOps, DevSecOps, Terraform, Docker, Kubernetes, Jenkins, Ansible, Python, GitHub Copilot, Azure AI Foundry, AI-powered automation, and cloud security through hands-on training and real-world projects. You’ll gain practical expertise in building, deploying, automating, and securing enterprise-grade cloud applications using the latest industry tools and best practices.

Our curriculum combines Cloud Computing, Infrastructure as Code (IaC), CI/CD pipelines, containerization, orchestration, security automation, monitoring, and AI-driven DevOps workflows to help you become an industry-ready MultiCloud DevSecOps Engineer. Learn from experienced professionals through live projects, practical labs, mock interviews, and scenario-based training that reflect real enterprise environments. With over 21+ real-time industrial projects, you’ll build a strong portfolio that demonstrates your technical expertise.

If you’re searching for the Best MultiCloud DevSecOps with AI & Python Course in Hyderabad, SIRI AI Tech Hub provides industry-focused training, expert mentorship, certification guidance, placement assistance, and career support to help you secure high-paying cloud and DevOps roles in leading MNCs. Whether you’re starting your IT career or upgrading your skills, this program equips you with everything needed to excel in today’s rapidly evolving cloud technology landscape.