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DevOps with Python Automation training focuses on using Python to automate infrastructure, deployments, testing, and operations in real CI/CD and cloud environments. The syllabus covers scripting, automation tools, pipelines, configuration management, and production support scenarios. This training is important because modern DevOps teams rely on automation to improve speed, reliability, and scalability of software delivery. It is ideal for aspiring DevOps engineers, system administrators, cloud engineers, automation testers, and IT professionals moving into DevOps and production support roles.
Target Audience • DevOps / Platform Engineers • Linux / System Administrators • Cloud Engineers • Freshers targeting DevOps roles • SRE / Automation Engineers Prerequisites • Basic Linux commands • Basic programming logic (helpful, not mandatory)
Duration of Training :
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
Detailed Syllabus • Hands-on Labs • Assignments • Support-Focused • Implementation
Curriculum Designed by Experts
• DevOps Culture & CALMS Model
• CI/CD Concepts & DevOps Lifecycle
• Agile vs DevOps vs SRE
• DevOps Toolchain Overview
• DevOps Roles (L1 / L2 / L3 Expectations)
• Linux Architecture & Boot Process
• User, Group & Permission Automation
• Process & Service Management
• Package Management Automation
• Disk, File System & Log Handling
• Bash vs Python for Automation
• TCP/IP, DNS, HTTP/HTTPS
• Ports, Firewalls & Load Balancers
• SSH Automation Concepts
• Networking Troubleshooting Basics
• Python Syntax & Data Types
• Control Structures & Functions
• Modules & Virtual Environments
• File Handling & OS Operations
• Exception Handling & Logging
• Automating Linux Admin Tasks
• User Creation & Cleanup Scripts
• Disk Usage Monitoring Scripts
• Log Parsing & Alerting Scripts
• Service Health Check Automation
• Cron Jobs with Python
• Git Basics & Branching Strategy
• GitHub / GitLab / Bitbucket
• Python Scripts for Git Operations
• Webhooks & Automation Triggers
• Jenkins Architecture & Pipelines
• Declarative vs Scripted Pipelines
• Python-Based Build & Test Automation
• Jenkins + Python Integration
• Pipeline Failure Handling
• CI/CD Security Best Practices
• Docker Architecture & Images
• Dockerfile Creation
• Python App Containerization
• Docker SDK for Python
• Automating Image Build & Push
• Docker Monitoring Automation
• Kubernetes Architecture
• Pods, Deployments & Services
• Python Kubernetes Client (k8s API)
• Automating Deployments & Scaling
• Health Checks & Rollbacks
• Kubernetes Troubleshooting Automation
• Ansible Architecture
• YAML & Playbooks
• Dynamic Inventory using Python
• Custom Ansible Modules in Python
• Error Handling & Idempotency
• Cloud DevOps Overview
• Python SDKs (Boto3 / Azure SDK)
• Automating EC2 / VM / Storage
• IAM Automation
• Cost Optimization Scripts
• Cloud Monitoring Automation
• IaC Concepts & Benefits
• Terraform Architecture
• Terraform + Python Integration
• Pre/Post Provision Automation
• State Management Automation
• Monitoring Concepts
• Prometheus & Grafana Overview
• Python for Metrics Collection
• Alert Automation Scripts
• Log Monitoring Automation
• DevSecOps Concepts
• Secrets Management (Vault)
• Python for Security Checks
• Vulnerability Scanning Automation
• Compliance Automation Basics
• Zero-Downtime Deployment Automation
• Auto-Healing Infrastructure
• CI/CD Failure Auto-Recovery
• Log-Based Incident Automation
• Disaster Recovery Automation
Mini Projects
• Linux Automation Toolkit using Python
• CI/CD Pipeline with Python Scripts
• Docker & Kubernetes Automation Project
Capstone Project
End-to-End DevOps Automation
• Python-based infra provisioning
• CI/CD pipeline
• Container deployment
• Monitoring & alert automation
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(Our Team will call you to discuss the Fees)