An introduction to AWS Step Functions which is a diagram based system to manage complex state based functions that tie in multiple AWS microservices.
Using Sagemaker and Sagemaker studio to launch Jupyter notebook instances, build, train and deploy a machine learning model.
Notes on various sagemaker algorithms. Pre-processing, training, validation acceptable data formats etc.
How to package and upload dependencies to a Lambda function so that you can use external libraries like Axios