Master AWS Lambda Functions for Data Engineers using Python

• Setup required tools on Windows to develop the code for ETL Data Pipelines using Python and AWS Services
• Setup Project or Development Environment to develop applications using Python and AWS Services
• Getting Started with AWS by creating account in AWS and also configure AWS CLI as well as Review Data Sets used for the project
• Develop Core Logic to Ingest Data from source to AWS s3 using Python boto3
• Getting Started with AWS Lambda Functions using Python 3 Run-time Environment
• Refactor the application, build zip file to deploy as AWS Lambda Function
• Create AWS Lambda Function using Zip file and Validate
• Troubleshoot issues related to AWS Lambda Functions using AWS Cloudwatch
• Build custom docker image for the application and push to AWS ECR
• Create AWS Lambda Function using the custom docker image in AWS ECR
• Develop Applications using AWS Lambda Functions by adding Python Modules as Layers

Who this course is for:

• University Students who want to learn AWS Lambda Functions with hands on and real time examples
• Aspiring Data Engineers and Data Scientists who want to master AWS Lambda Functions for Data Processing with real time examples
• Entry Level IT Professionals with prior basic level programming experience who would like to build complete projects using AWS and Python
• Experienced Application Developers who would like to explore how to build end to end applications using Python and AWS Services
• Experienced Data Engineers to build end to end data pipelines using Python and AWS Services
• Any IT Professional who is keen to get started with AWS using some of the key services such as s3, Dynamodb, Lambda, ECR, IAM, etc.

Recommended Courses

1. AWS Lambda & Serverless Architecture Bootcamp (Build 5 Apps)
2. AWS Lambda and the Serverless Framework – Hands On Learning!
3. Serverless using AWS Lambda for Python Developers