Python for DevOps Bootcamp with Akhilesh Mishra

7 Classes that teach you how to build real production Python automations on AWS

A 4-week Python for Devops bootcamp that will teach you how to use Python in real-world projects in AWS

Duration: 7 sessions, 2.5-3 hours each

This intensive Python for DevOps Bootcamp equips you with the skills to build high-quality, real-world automation scripts on AWS, master serverless architectures, and implement cost optimization strategies.

I will guide you through essential Python concepts that every DevOps engineer needs, and use them to build 7 real-world automation projects that will look great on your DevOps resume.

Pre-requisites:

• Python basics (variables, loops, functions)
• AWS basics (EC2, S3, IAM fundamentals)

Note: All call recordings and complete code from the bootcamp will be provided.

Class 1: Python Fundamentals for DevOps Automation

What you’ll learn:

• Python environment setup and virtual environments
• Python data structures: lists, dictionaries, tuples, sets
• Conditionals and loops (for, while, list comprehensions)
• Working with the os module for file system operations
• Using the subprocess module to execute shell commands
• String manipulation and formatting
• Error handling and exception management
• Writing clean, reusable functions
• File operations, JSON/YAML parsing
• Error handling and exception management
• Creating reusable Python modules and a custom CLI

Project:

• Create a production-grade Python-based CLI for routine DevOps tasks
• Generates deployment reports

Class 2: CRUD operations with Python & AWS Boto3

What you’ll learn:

• Working with the requests module for HTTP calls
• Crud operations with Python
• Python logging best practices for DevOps
• Deep dive into the boto3 library and AWS SDK
• Fetching cloud reports with boto3
• JSON parsing for api responses

Project 1: API CRUD Operations Script

• Uses requests module to make API CRUD requests (Create, Read, Update, Delete)
• Implements proper error handling for API calls
• Handles API authentication and headers
• Parses and validates API responses
• Logs all operations for troubleshooting

Class 3: AWS Automation with Boto3 and AWS Lambda

• Introduction to AWS Lambda for event-based automations
• Lambda fundamentals: functions, triggers, execution models
• Event-driven architecture patterns
• Lambda deployment best practices
• IAM roles and security for Lambda
• Working with AWS sessions, clients, and resources
• Paginating through AWS API responses

Project:

• Build a Lambda function to rotate the IAM keys
• Build an automation to email daily cloud reports

Class 4: AWS Lambda advanced

What you’ll learn:

• Integration with SQS, SNS, and S3 for event processing
• EventBridge for event routing and processing
• Dead letter queues and error handling strategies
• Reserved and Provisioned concurrency
• Lambda layers for code reusability
• Complex workflow patterns and best practices

Projects:

• Event-based, real-time file processing automations for production usecases
• Using an S3 bucket, sqs, and Eventbridge as Lambda triggers
• Implement EventBridge rules for event routing

Class 5: Building Production-Grade ClamAV File Scanning Automation for S3 Security

What you’ll learn:

• Python fundamentals for DevOps automation (argparse, file I/O, subprocess)
• Building flexible CLI tools with argument parsing
• Working with JSON data persistence and manipulation
• ClamAV antivirus setup and database management
• S3 operations using boto3 (download, upload, tagging)
• Multi-account AWS security architecture for compliance
• Event-driven automation workflows

Project: Banking Compliance File Scanner Automation

• Scans all inbound files to S3 landing buckets using ClamAV
• Downloads files from S3 and performs virus scanning
• Tags S3 objects with scan results (clean/infected)
• Routes clean files to processing buckets
• Blocks infected files and triggers notifications
• Implements production-ready error handling and logging

Class 6: Building Python automation for Postgres Database(RDS) Migration for Cost Savings

What you’ll learn:

• RDS cost analysis and optimization strategies
• Database migration planning and assessment
• Python scripts for database migration automation
• Working with pg_dump, pg_restore, and pgsync
• Data validation and integrity checking
• Migration rollback strategies and disaster recovery

Project

• RDS Migration for cost savings automation
• Analyzes current RDS costs and identifies savings opportunities
• Performs database backup using pg_dump
• Migrates data between PostgreSQL instances
• Validates data integrity post-migration

Class 7: Implementing the complete RDS migration using AWS ECS, Lambda, and Terraform

What you’ll learn:

• Containerising the complete automation
• Deploying the automation to AWS ECS
• Deploying Lambda to trigger the RDS migration automation
• Production-grade Terraform implementation for a complete project
• Live demo for migration automation

Project

• End-to-end implementation of the RDS migration tool and production-level implementation with Terraform
• Live running automation on ECS and migration trigger with Lambda

What You’ll Take Away

After completing this bootcamp, you’ll have:

✅ 7+ production-ready Python automation scripts for your portfolio
✅ Deep understanding of boto3, Lambda, and AWS automation
✅ Hands-on experience with serverless architectures and Step Functions
✅ Real-world database migration experience
✅ FinOps expertise with cost optimization strategies
✅ Infrastructure as Code skills with Terraform
✅ Event-driven architecture implementation experience
✅ Complete code repository with all projects
✅ Call recordings for future reference
✅ Confidence to build enterprise-grade AWS automation

Bonus: All participants will receive:

• Certificate of completion
• Lifetime access to course materials
• Private community access for ongoing support
• Terraform templates and reusable code modules