
Master the AWS Lambda serverless architecture with Python and boto3 through hands-on tutorials and 15+ projects, building automations across DynamoDB, S3, Transcribe, and more.
Understand Boto3 Architecture, very crucial to apply Botot3 resources in your project.
Use boto3 resource APIs to list S3 buckets with a Python script in an editor after configuring AWS CLI v2 and Python 3, and print each bucket name.
Use the Boto3 client API to create an EC2 instance by configuring the AWS CLI and running EC2 run_instances with image id, instance type, and key name.
Build a simple Python 3.9 lambda function from scratch, configure its execution role for CloudWatch logs, and set up a CloudWatch event cron trigger; test and review logs and cost.
Automate EC2 backups across regions with a Lambda function triggered by CloudWatch rules, backing up only instances tagged backup true and pruning to the last three snapshots for RTO.
Learn how to use Python Boto3 to create, load, query, update, and delete DynamoDB tables and items, including conditional updates, scans, and table deletion.
Bulk upload csv data to DynamoDB with a Lambda triggered by S3, converting rows to dictionaries and grouping metadata under a meta attribute, using batch writer for efficient writes.
Automate image resizing in aws using lambda with pillow to generate thumbnails from s3 uploads, storing them in a destination bucket with Python and boto3.
Learn how to trigger a Lambda function from an Amazon SQS standard queue to decouple processes, batch and store messages in DynamoDB while logging to CloudWatch.
Demonstrate cross-account SQS queue provisioning by using a lambda in the production account triggered from the dev account, with CLI permissions and queue creation in the target account.
You can monitor your application using AWS Lambda Automation. This example will provide you one practical application and it can spark your automation idea in your work place!
This course is designed to provide a comprehensive introduction to AWS automation using Lambda and Python. By leveraging the AWS SDK for Python, commonly known as Boto3, you’ll gain hands-on experience in automating tasks across a broad range of AWS services, enabling you to build scalable, efficient, and cost-effective solutions tailored to real-world needs.
Throughout the course, you’ll learn to integrate AWS Lambda with widely-used services such as EC2, S3, SQS, DynamoDB, CloudWatch, and more. We’ll begin with essential Lambda fundamentals—setting up functions, defining triggers, managing permissions, and understanding the nuances of event-driven programming. With these foundations in place, you’ll grasp how Lambda can streamline processes, automate workflows, and enable seamless data management across complex AWS environments.
Once you’re comfortable with the basics, we’ll dive into advanced use cases where Lambda truly shines. You’ll explore complex scenarios, such as automating cross-service data flows, generating dynamic reports, implementing real-time notifications, and processing high-velocity data streams. Along the way, you’ll learn best practices for error handling, effective logging, and fine-tuning performance to ensure reliability and responsiveness. You’ll also gain insight into security configurations, cost optimization, and monitoring with CloudWatch to keep your Lambda functions efficient and budget-friendly.
From designing robust, serverless architectures to mastering event-driven applications, this course will transform your approach to AWS automation, equipping you with the skills to work smarter, optimize resources, and harness the full power of AWS Lambda in any project.