Build Lambda Functions using Python, Lambda Triggers, Deploy using layers and Docker, Validate using Glue and Athena
Instructed by Durga Viswanatha Raju Gadiraju 13 hours on-demand video
What you’ll learn
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Setup required tools on Windows to develop the code for ETL Data Pipelines using Python and AWS Services
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Setup Project or Development Environment to develop applications using Python and AWS Services
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Getting Started with AWS by creating account in AWS and also configure AWS CLI as well as Review Data Sets used for the project
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Develop Core Logic to Ingest Data from source to AWS s3 using Python boto3
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Getting Started with AWS Lambda Functions using Python 3 Run-time Environment
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Refactor the application, build zip file to deploy as AWS Lambda Function
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Create AWS Lambda Function using Zip file and Validate
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Troubleshoot issues related to AWS Lambda Functions using AWS Cloudwatch
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Build custom docker image for the application and push to AWS ECR
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Create AWS Lambda Function using the custom docker image in AWS ECR
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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.
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