A 5-week (10 classes, 2.5 hours each ) bootcamp that will teach you how to use Python in real-world Devops projects in AWS

Python for DevOps Bootcamp – 10 Classes

Duration: 10 sessions, 2.5 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 6 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
Essential DevOps libraries: boto3, requests, paramiko
File operations, JSON/YAML parsing
Error handling and exception management
Python logging best practices for DevOps
Creating reusable Python modules and packages

Hands-on:

Set up a professional Python DevOps development environment
Write scripts with proper error handling and logging
Create reusable modules for common DevOps tasks
Implement retry mechanisms for API calls

Class 2: AWS Automation with Boto3 & SDK Integration

What you’ll learn:

Deep dive into boto3 library and AWS SDK
AWS authentication methods (access keys, IAM roles, profiles)
Working with AWS sessions, clients, and resources
Paginating through AWS API responses
Handling AWS API rate limits and errors
Testing Python scripts for AWS automation

Project 1: Automated AWS Resource Provisioning Tool Build a Python tool that:

Provisions multiple AWS resources (EC2, S3, RDS)
Uses configuration files for infrastructure definitions
Implements proper error handling and rollback
Generates deployment reports
Includes unit tests for reliability

Class 3: EC2 Automation & Advanced Instance Management

What you’ll learn:

EC2 instance lifecycle management with boto3
Working with EC2 filters, tags, and metadata
SSM (Systems Manager) for remote command execution
Scheduling Python scripts (cron, CloudWatch Events)
Multi-account AWS automation strategies

Project 2: Automated Linux Kernel Cleanup Build a Python script that:

Runs on schedule across multiple AWS accounts
Identifies EC2 instances with old Linux kernels
Uses SSM to execute cleanup commands remotely
Removes outdated kernels from running/stopped VMs
Generates detailed cleanup and audit reports

Class 4: Data Processing, Reporting & FinOps Fundamentals

What you’ll learn:

Working with pandas for data manipulation
Reading/writing Excel files with openpyxl
FinOps principles and cloud cost management strategies
AWS Cost Explorer API and billing analysis
Resource tagging strategies for cost allocation
Building cost dashboards and reports

Project 3: AWS RDS Cost Analysis & Optimization Report Build a Python script that:

Uses boto3 to fetch RDS database details across accounts
Analyzes allocated vs. used storage
Calculates potential cost savings opportunities
Integrates with AWS Cost Explorer for spend analysis
Generates Excel reports with cost optimization recommendations
Creates comprehensive cost monitoring plan

Class 5: AWS Lambda Fundamentals & Serverless Architecture

What you’ll learn:

Lambda fundamentals: functions, triggers, execution models
Event-driven architecture patterns
Lambda layers for code reusability
Integration with SQS, SNS, S3 for event processing
Lambda deployment best practices
IAM roles and security for Lambda

Project 4: Auto-Tagging EC2 Instances with Lambda Build a Lambda function that:

Triggers on EC2 instance launch via EventBridge
Automatically tags instances with owner details
Uses CloudTrail to identify the creator
Implements Lambda layers for shared code
Sends notifications for untagged resources
Includes proper error handling and logging

Class 6: Advanced Lambda with Terraform & CI/CD

What you’ll learn:

DRY Terraform configurations for Lambda deployments
Multi-Lambda setup and management
Lambda deployment automation with CI/CD pipelines
VPC integration and networking for Lambda
Security groups and private subnet configurations
Monitoring serverless applications with CloudWatch

Project 5: Serverless Data Processing Pipeline Build a serverless architecture that:

Uses Terraform for infrastructure as code
Processes S3 uploads through Lambda functions
Implements SQS for queue-based processing
Stores results in DynamoDB
Includes complete CI/CD pipeline
Monitors performance and costs

Class 7: Event-Driven Architecture & Lambda Orchestration

What you’ll learn:

AWS Step Functions for Lambda orchestration
EventBridge for event routing and processing
Dead letter queues and error handling strategies
Performance optimization for Lambda functions
Cost management and optimization techniques
Complex workflow patterns and best practices

Hands-on:

Build Step Functions state machines
Implement EventBridge rules for event routing
Create error handling with DLQs
Optimize Lambda performance and costs
Design resilient event-driven systems

Class 8: Security Automation & Lambda Runtime Management

What you’ll learn:

AWS security best practices for automation
Working with KMS (Key Management Service)
SQS queue configuration and encryption
Lambda runtime lifecycle management
Automated security compliance scanning

Project 6a: SQS Encryption Enforcement Build a Python script that:

Scans all SQS queues across regions
Identifies unencrypted queues
Encrypts them with customer-managed KMS keys
Generates compliance reports
Can be deployed as Lambda or standalone script

Project 6b: Lambda Runtime Updater Build a Python script that:

Identifies Lambda functions with outdated runtimes (Python 3.8, Node 16.x)
Updates runtimes to latest stable versions
Tests functions post-update
Implements rollback strategies
Sends update reports and notifications

Class 9: RDS Migration for Cost Savings – Part 1

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 7a: Automated Migration Testing Framework Build a comprehensive migration tool that:

Analyzes current RDS costs and identifies savings opportunities
Performs database backup using pg_dump
Migrates data between PostgreSQL instances
Validates data integrity post-migration
Implements automated testing and rollback procedures
Generates migration reports with cost comparisons

Class 10: RDS Migration for Cost Savings – Part 2 & Capstone

What you’ll learn:

ECS jobs for large-scale database migration
Lambda triggers for migration workflow automation
Monitoring and alerting during migration
Post-migration validation and cleanup
Zero-downtime migration strategies
Building comprehensive monitoring dashboards

Project 7b: Zero-Downtime Migration Implementation Complete the migration project with:

ECS-based migration job for large databases
Lambda functions for workflow orchestration
Step Functions for migration pipeline
Real-time monitoring and alerting
Post-migration cleanup automation
Comprehensive documentation and runbooks

Capstone Project: Multi-Service Serverless Architecture with FinOps Dashboard Build an integrated system that:

Creates complex business workflow with Step Functions
Implements event-driven architecture with EventBridge
Includes cost monitoring and optimization
Displays real-time AWS resource metrics
Shows cost trends and savings opportunities
Monitors EC2, RDS, Lambda, and S3 resources
Provides alerting for anomalies and cost spikes
Includes interactive charts and visualizations
Deployed entirely with Terraform and CI/CD

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

Projects Summary

Automated AWS Resource Provisioning Tool – Multi-resource deployment with testing
Linux Kernel Cleanup Automation – Multi-account EC2 management
RDS Cost Analysis & FinOps Dashboard – Cost optimization and reporting
Auto-Tagging Lambda Function – Event-driven instance management
Serverless Data Processing Pipeline – Complete serverless architecture with Terraform
Security Automation Suite – SQS encryption & Lambda runtime updates
RDS Migration with Zero-Downtime – Enterprise database migration (2-part project)
Multi-Service Serverless Architecture – Capstone integration project

This structure provides a comprehensive journey from Python fundamentals to advanced serverless architectures, FinOps implementation, and enterprise-grade database migrations—all within 10 well-structured classes.