what will you learn
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
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.
Requirements
A computer science or IT Degree or 1 or 2 years of IT Experience
Basic Linux Skills with ability to run commands using Terminal
Programming Skills using Python is required
Valid AWS Account to use the AWS Services to learn how to build Data Pipelines using AWS Lambda Functions
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