aws-samples / serverless-ai-workshopLinks
This workshop demonstrates two methods of machine learning inference for global production using AWS Lambda and Amazon SageMaker
☆59Updated 4 years ago
Alternatives and similar repositories for serverless-ai-workshop
Users that are interested in serverless-ai-workshop are comparing it to the libraries listed below
Sorting:
- As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges i…☆63Updated 6 years ago
- A self-paced workshop designed to allow you to get hands on with building a real-time data platform using serverless technologies such as…☆22Updated 6 years ago
- Natural Language Processing on AWS Workshop☆53Updated 6 years ago
- Docker images that replicate the Amazon SageMaker Notebook instance.☆58Updated 3 years ago
- Learn how to build an end-to-end streaming architecture to ingest, analyze, and visualize streaming data in near real-time☆34Updated 3 years ago
- Creates a CloudFormation template that uses AWS StepFunctions to automate the building and training of Sagemaker custom models based on S…☆165Updated 5 years ago
- Workshop to build voice enabled integration with data analytics☆116Updated 5 years ago
- Materials for a 2-day instructor led course on applying machine learning☆200Updated 4 years ago
- Sagemaker pipeline for AWS Summit New York☆58Updated 5 years ago
- AWS Workshop tutorial for building applications with Amazon AI Services☆31Updated 3 years ago
- A workshop demonstrating the capabilities of S3, Athena, Glue, Kinesis, and Quicksight.☆158Updated 5 years ago
- Open innovation with 60 minute cloud experiments on AWS☆88Updated last year
- ☆52Updated 7 years ago
- Bring your own data Labs: Build a serverless data pipeline based on your own data☆44Updated 2 years ago
- Design pattern for orchestrating an incremental data ingestion pipeline using AWS Step Functions from an on premise location into an Amaz…☆28Updated 5 years ago
- CloudFormation templates and scripts to setup the AWS services for the workshop, Athena & Redshift Spectrum queries☆176Updated 5 years ago
- This GitHub project provides a series of lab exercises which help users get started using the Redshift platform.☆53Updated 4 years ago
- The objective of Cloud Builders' Day repository is to provide do-it-yourself lab guides for several AWS services including but not limite…☆11Updated 4 years ago
- ☆52Updated 6 years ago
- Source code for the post, 'Getting Started with Data Analysis on AWS, using S3, Glue, Amazon Athena, and QuickSight'☆28Updated 4 years ago
- A project template for developing BYOD docker images for use in Amazon SageMaker.☆19Updated 5 years ago
- Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many de…☆74Updated last year
- AWS Quick Start Team☆23Updated 9 months ago
- Sample code and datasets for Amazon Fraud Detector☆80Updated last year
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 4 years ago
- Kubeflow workshop on EKS. Mainly focus on AWS integration examples. Please go check kubeflow website http://kubeflow.org for other exampl…☆97Updated 4 years ago
- Code samples related to "Harmonize, Search, and Analyze Loosely Coupled Datasets on AWS" (https://aws.amazon.com/blogs/big-data/harmonize…☆22Updated 6 years ago
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆291Updated 3 months ago
- Reference implementation on labeling video frames using Amazon Rekognition. The repo also contains some OpenCV based video utilities for …☆39Updated 6 years ago
- Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.c…☆60Updated 5 months ago