CloudaYolla's repositories
aws-serverless-data-lake-workshop
This workshop is meant to give customers a hands-on experience with mentioned AWS services. Serverless Data Lake workshop helps customers build a cloud-native and future-proof serverless data lake architecture. It allows hands-on time with AWS big data and analytics services including Amazon Kinesis Services for streaming data ingestion and analytics, AWS Glue for ETL and Data Catalogue Management, Amazon Athena to query data lake.
ArchitectingMLonAWS
Architecting Machine Learning on AWS: A Practitioner’s Guide to Production-Grade ML on AWS Cloud with SageMaker
ForecastPOC
A collection of notebooks and resources to operate an Amazon Forecast POC in a box.
cloud-day-tr-gen-ai-workshop
3 Oct 2023 Cloud Day Turkiye - AIM203 Gen AI on AWS Workshop - Fine Tuning Lab
CloudaYolla.github.io
CloudaYolla's Static Website
amazon-sagemaker-architecting-for-ml
Materials for a 2-day instructor led course on applying machine learning
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
aws-architecting-ML-sagemaker
Architecting Machine Learning on AWS: A Practitioner’s Guide to Production-Grade ML on AWS Cloud with SageMaker
aws-educate-guide
The open source version of the Amazon Educate Guide. This guide is by and for instructors and students who use AWS Educate. It aims to be a useful, living reference that consolidates links, tips, gotchas, and best practices.
datathon-zero-to-hero-aws-ml
This repository is prepared as a survival guide for those attending Data Science and ML datathons on AWS
deepracervirtualx
DeepRacer Virtual Event - Tournament Front End
PersonalizePOC
Amazon Personalize - A Deep Dive Hands-on Workshop tailored for Data Scientists. The workshop below is a level 300 deep dive designed to help you understand the recommendation systems and build out your first models for your given use case using Amazon Personalize. The material here is curated from works of chrisking@ and AWS samples at github.
videotranscript
Videots Inserter Service