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This is syllabus for a 30-day Python for DevOps course by DevOps Course

Day 1: 🐍 Introduction to Python

  • Topics:
    • Python syntax and basics
    • Setting up a Python environment
    • Writing your first Python script
  • Exercise: Print "Hello, World!" using Python.

Day 2: 📚 Python Data Types

  • Topics:
    • Numbers, strings, and variables
    • Lists, tuples, and dictionaries
    • Type conversions and basic operations
  • Exercise: Manipulating Python data types.

Day 3: 🧱 Control Flow in Python

  • Topics:
    • Conditional statements (if, else, elif)
    • Loops (for and while)
    • Break and continue statements
  • Exercise: Building control flow in Python.

Day 4: 🎲 Functions and Modules

  • Topics:
    • Defining and calling functions
    • Scope and lifetime of variables
    • Importing modules and packages
  • Exercise: Creating and using Python functions.

Day 5: 🧰 File Handling in Python

  • Topics:
    • Reading and writing files
    • Working with directories
    • Exception handling (try, except)
  • Exercise: Reading and modifying files.

Day 6: 📊 Introduction to DevOps

  • Topics:
    • Understanding DevOps principles
    • DevOps culture and practices
    • DevOps toolchain overview
  • Exercise: Research popular DevOps tools.

Day 7: 🚀 Version Control with Git

  • Topics:
    • Git basics: commits, branches, and merges
    • Git workflows (Gitflow, Feature Branching)
    • Working with remote repositories (GitHub, GitLab)
  • Exercise: Create a Git repository and collaborate with others.

Day 8: 📦 Containerization with Docker

  • Topics:
    • Introduction to containers and Docker
    • Docker images and containers
    • Building and running containers
  • Exercise: Dockerize a simple Python application.

Day 9: 🏗️ Container Orchestration with Kubernetes

  • Topics:
    • Kubernetes basics and architecture
    • Deploying applications with Kubernetes
    • Pods, Services, and Deployments
  • Exercise: Deploy an app on a local Kubernetes cluster (Minikube).

Day 10: 🏗️ Infrastructure as Code (IaC) with Terraform

  • Topics:
    • Understanding IaC concepts
    • Introduction to Terraform
    • Writing Terraform configurations
  • Exercise: Create and provision infrastructure using Terraform.

Day 11: 🚀 Continuous Integration (CI) with Jenkins

  • Topics:
    • Introduction to Jenkins
    • Creating Jenkins pipelines
    • Integrating Jenkins with Git
  • Exercise: Set up a CI pipeline for a Python project.

Day 12: 🚀 Continuous Deployment (CD) with Jenkins

  • Topics:
    • Jenkins Blue Ocean and CD concepts
    • Deploying applications automatically
    • Integrating Jenkins with Docker and Kubernetes
  • Exercise: Configure a CD pipeline with Jenkins.

Day 13: 📊 Monitoring and Logging with Prometheus and Grafana

  • Topics:
    • Introduction to Prometheus and Grafana
    • Setting up monitoring and alerting
    • Creating dashboards in Grafana
  • Exercise: Monitor a Dockerized application.

Day 14: 🌐 Web Services and APIs with Python

  • Topics:
    • HTTP requests in Python (requests library)
    • RESTful API concepts
    • Consuming and interacting with APIs
  • Exercise: Build a Python script to interact with an API.

Day 15: 🐍 Python Automation for DevOps

  • Topics:
    • Automating common DevOps tasks with Python
    • Working with system information
    • Scripting Docker and Kubernetes operations
  • Exercise: Automate a deployment process with Python.

Day 16: 🌐 Configuration Management with Ansible

  • Topics:
    • Introduction to Ansible
    • Ansible playbooks and roles
    • Automating server provisioning and configuration
  • Exercise: Use Ansible to configure a server.

Day 17: 🌐 Infrastructure Monitoring with Nagios

  • Topics:
    • Introduction to Nagios
    • Setting up Nagios for infrastructure monitoring
    • Configuring checks and notifications
  • Exercise: Monitor infrastructure using Nagios.

Day 18: 🏆 DevOps Best Practices and Patterns

  • Topics:
    • Understanding DevOps best practices
    • DevOps patterns for scalability and reliability
    • Case studies of successful DevOps implementations
  • Exercise: Analyze and discuss DevOps case studies.

Day 19: 🔒 Security in DevOps

  • Topics:
    • DevSecOps principles
    • Security scanning and vulnerability assessment
    • Implementing security practices in CI/CD pipelines
  • Exercise: Integrate security checks into a CI/CD pipeline.

Day 20: 🚧 Infrastructure as Code (IaC) Advanced Topics

  • Topics:
    • Advanced Terraform features
    • Terraform modules and workspaces
    • Managing state and locking
  • Exercise: Implement advanced IaC concepts with Terraform.

Day 21: 📚 Documentation and Collaboration Tools

  • Topics:
    • Introduction to documentation tools (Markdown, Sphinx)
    • Collaborative tools (Slack, Confluence)
    • Building documentation for DevOps projects
  • Exercise: Create project documentation.

Day 22: 🚀 Serverless Computing with AWS Lambda

  • Topics:
    • Understanding serverless concepts
    • Creating and deploying Lambda functions
    • Integrating Lambda with other AWS services
  • Exercise: Deploy a Python function on AWS Lambda.

Day 23: 🌐 Network Automation with Python

  • Topics:
    • Automating network tasks with Python (Netmiko, Napalm)
    • Managing network devices programmatically
  • Exercise: Write Python scripts for network automation.

Day 24: 🌐 Cloud Orchestration with AWS CloudFormation

  • Topics:
    • Introduction to AWS CloudFormation
    • Writing CloudFormation templates
    • Orchestrating AWS resources
  • Exercise: Create an AWS infrastructure using CloudFormation.

Day 25: 🚀 Cloud-Native DevOps with AWS Services

  • Topics:
    • AWS Elastic Beanstalk, Lambda, and API Gateway
    • Building serverless applications
    • Implementing DevOps practices on AWS
  • Exercise: Deploy a serverless app on AWS.

Day 26: 🏗️ Infrastructure as Code (IaC) with AWS CDK

  • Topics:
    • AWS CDK basics and concepts
    • Building infrastructure with CDK
    • Deploying AWS resources using CDK
  • Exercise: Create AWS resources with CDK.

Day 27: 📊 Log Aggregation with ELK Stack

  • Topics:
    • Introduction to ELK Stack (Elastic

search, Logstash, Kibana)

  • Centralized logging and log analysis
  • Configuring ELK for DevOps use cases
  • Exercise: Set up log aggregation with ELK.

Day 28: 🏗️ Cloud-Native CI/CD with AWS CodePipeline

  • Topics:
    • AWS CodePipeline fundamentals
    • Building and automating CI/CD pipelines
    • Integrating AWS services in the pipeline
  • Exercise: Create a cloud-native CI/CD pipeline.

Day 29: 📊 Metrics and Tracing with AWS X-Ray

  • Topics:
    • Introduction to AWS X-Ray
    • Collecting and visualizing application metrics
    • Tracing requests and identifying bottlenecks
  • Exercise: Implement metrics and tracing with X-Ray.

Day 30: 🚀 Final Projects and Review

  • Topics:
    • Work on a real-world DevOps project using Python
    • Review key concepts and tools covered in the syllabus
    • Prepare for DevOps interviews
  • Exercise: Present and discuss your final project.