Learn how to use the newest cutting edge computing power of AWS with the benefits of serverless architectures to leverage Google's "State-of-the-Art" NLP Model.
Learn how to build and deploy an AWS Lambda function with a custom python docker container as runtime with the use of Amazon ECR.
Build a serverless Question-Answering API using the Serverless Framework, AWS Lambda, AWS EFS, efsync, Terraform, the transformers Library from HuggingFace, and a `mobileBert` model from Google fine-tuned on SQuADv2.
efsync is a CLI/SDK tool, which syncs files from S3 or local filesystem automatically to AWS EFS and enables you to install dependencies with the AWS Lambda runtime directly into your EFS filesystem.
This is the Story of how I became a certified solution architect within 28 hours of preparation.
Create a custom github action in 4 steps. Also learn how to test it offline and publish it in the Github Action marketplace.
Leverage your Serverless architectures with mounting your AWS EFS volume into your AWS Lambda with the Serverless Framework.
Build a serverless question-answering API with BERT, HuggingFace, the Serverless Framework and AWS Lambda.