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‎Day-0.md‎

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**Day 1: 🐍 Introduction to Python**
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- Python syntax and basics
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- Setting up a Python environment
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- Writing your first Python script
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- Exercise: Print "Hello, World!" using Python
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**Day 2: 📚 Python Data Types**
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- Numbers, strings, and variables
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- Lists, tuples, and dictionaries
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- Type conversions and basic operations
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- Exercise: Manipulating Python data types
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**Day 3: 🧱 Control Flow in Python**
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- Conditional statements (if, else, elif)
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- Loops (for and while)
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- Break and continue statements
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- Exercise: Building control flow in Python
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**Day 4: 🎲 Functions and Modules**
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- Defining and calling functions
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- Scope and lifetime of variables
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- Importing modules and packages
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- Exercise: Creating and using Python functions
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**Day 5: 🧰 File Handling in Python**
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- Reading and writing files
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- Working with directories
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- Exception handling (try, except)
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- Exercise: Reading and modifying files
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**Day 6: 📊 Introduction to DevOps**
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- Understanding DevOps principles
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- DevOps culture and practices
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- DevOps toolchain overview
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- Exercise: Research popular DevOps tools
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**Day 7: 🚀 Version Control with Git**
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- Git basics: commits, branches, and merges
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- Git workflows (Gitflow, Feature Branching)
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- Working with remote repositories (GitHub, GitLab)
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- Exercise: Create a Git repository and collaborate with others
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**Day 8: 📦 Containerization with Docker**
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- Introduction to containers and Docker
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- Docker images and containers
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- Building and running containers
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- Exercise: Dockerize a simple Python application
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**Day 9: 🏗️ Container Orchestration with Kubernetes**
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- Kubernetes basics and architecture
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- Deploying applications with Kubernetes
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- Pods, Services, and Deployments
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- Exercise: Deploy an app on a local Kubernetes cluster (Minikube)
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**Day 10: 🏗️ Infrastructure as Code (IaC) with Terraform**
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- Understanding IaC concepts
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- Introduction to Terraform
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- Writing Terraform configurations
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- Exercise: Create and provision infrastructure using Terraform
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**Day 11: 🚀 Continuous Integration (CI) with Jenkins**
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- Introduction to Jenkins
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- Creating Jenkins pipelines
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- Integrating Jenkins with Git
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- Exercise: Set up a CI pipeline for a Python project
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**Day 12: 🚀 Continuous Deployment (CD) with Jenkins**
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- Jenkins Blue Ocean and CD concepts
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- Deploying applications automatically
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- Integrating Jenkins with Docker and Kubernetes
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- Exercise: Configure a CD pipeline with Jenkins
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**Day 13: 📊 Monitoring and Logging with Prometheus and Grafana**
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- Introduction to Prometheus and Grafana
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- Setting up monitoring and alerting
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- Creating dashboards in Grafana
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- Exercise: Monitor a Dockerized application
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**Day 14: 🌐 Web Services and APIs with Python**
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- HTTP requests in Python (requests library)
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- RESTful API concepts
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- Consuming and interacting with APIs
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- Exercise: Build a Python script to interact with an API
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**Day 15: 🐍 Python Automation for DevOps**
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- Automating common DevOps tasks with Python
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- Working with system information
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- Scripting Docker and Kubernetes operations
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- Exercise: Automate a deployment process with Python
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**Day 16: 🌐 Configuration Management with Ansible**
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- Introduction to Ansible
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- Ansible playbooks and roles
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- Automating server provisioning and configuration
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- Exercise: Use Ansible to configure a server
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**Day 17: 🌐 Infrastructure Monitoring with Nagios**
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- Introduction to Nagios
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- Setting up Nagios for infrastructure monitoring
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- Configuring checks and notifications
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- Exercise: Monitor infrastructure using Nagios
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**Day 18: 🏆 DevOps Best Practices and Patterns**
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- Understanding DevOps best practices
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- DevOps patterns for scalability and reliability
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- Case studies of successful DevOps implementations
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- Exercise: Analyze and discuss DevOps case studies
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**Day 19: 🔒 Security in DevOps**
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- DevSecOps principles
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- Security scanning and vulnerability assessment
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- Implementing security practices in CI/CD pipelines
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- Exercise: Integrate security checks into a CI/CD pipeline
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**Day 20: 🚧 Infrastructure as Code (IaC) Advanced Topics**
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- Advanced Terraform features
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- Terraform modules and workspaces
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- Managing state and locking
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- Exercise: Implement advanced IaC concepts with Terraform
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**Day 21: 📚 Documentation and Collaboration Tools**
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- Introduction to documentation tools (Markdown, Sphinx)
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- Collaborative tools (Slack, Confluence)
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- Building documentation for DevOps projects
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- Exercise: Create project documentation
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**Day 22: 🚀 Serverless Computing with AWS Lambda**
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- Understanding serverless concepts
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- Creating and deploying Lambda functions
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- Integrating Lambda with other AWS services
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- Exercise: Deploy a Python function on AWS Lambda
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**Day 23: 🌐 Network Automation with Python**
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- Automating network tasks with Python (Netmiko, Napalm)
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- Managing network devices programmatically
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- Exercise: Write Python scripts for network automation
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**Day 24: 🌐 Cloud Orchestration with AWS CloudFormation**
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- Introduction to AWS CloudFormation
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- Writing CloudFormation templates
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- Orchestrating AWS resources
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- Exercise: Create an AWS infrastructure using CloudFormation
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**Day 25: 🚀 Cloud-Native DevOps with AWS Services**
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- AWS Elastic Beanstalk, Lambda, and API Gateway
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- Building serverless applications
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- Implementing DevOps practices on AWS
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- Exercise: Deploy a serverless app on AWS
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**Day 26: 🏗️ Infrastructure as Code (IaC) with AWS CDK**
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- AWS CDK basics and concepts
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- Building infrastructure with CDK
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- Deploying AWS resources using CDK
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- Exercise: Create AWS resources with CDK
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**Day 27: 📊 Log Aggregation with ELK Stack**
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- Introduction to ELK Stack (Elasticsearch, Logstash, Kibana)
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- Centralized logging and log analysis
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- Configuring ELK for DevOps use cases
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- Exercise: Set up log aggregation with ELK
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**Day 28: 🏗️ Cloud-Native CI/CD with AWS CodePipeline**
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- AWS CodePipeline fundamentals
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- Building and automating CI/CD pipelines
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- Integrating AWS services in the pipeline
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- Exercise: Create a cloud-native CI/CD pipeline
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**Day 29: 📊 Metrics and Tracing with AWS X-Ray**
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- Introduction to AWS X-Ray
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- Collecting and visualizing application metrics
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- Tracing requests and identifying bottlenecks
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- Exercise: Implement metrics and tracing with X-Ray
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**Day 30: 🚀 Final Projects and Review**
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- Work on a real-world DevOps project using Python
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- Review key concepts and tools covered in the syllabus
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- Prepare for DevOps interviews
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- Exercise: Present and discuss your final project

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