aws-samples / aws-ai-bootcamp-labsLinks
This library holds a collection of Notebooks and code examples for AWS AI Bootcamps.
☆112Updated 6 years ago
Alternatives and similar repositories for aws-ai-bootcamp-labs
Users that are interested in aws-ai-bootcamp-labs are comparing it to the libraries listed below
Sorting:
- Workshop to build voice enabled integration with data analytics☆116Updated 5 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
- Material for re:Invent 2016 - CON314 - Workshop: Deploy a Deep Learning Framework on Amazon ECS and EC2 Spot Instances☆194Updated 5 years ago
- Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more☆389Updated 3 years ago
- An example serverless RESTful API, to be deployed via the AWS Serverless Application Model (SAM).☆133Updated 4 years ago
- AI_ML_Workshops☆52Updated 4 years ago
- AWS Workshop tutorial for building applications with Amazon AI Services☆31Updated 3 years ago
- Code and walkthrough labs to create a customer service chatbot using Amazon Lex (and integrations with Amazon Connect, Twilio SMS, etc.)☆97Updated 4 years ago
- ☆91Updated 2 years ago
- ☆81Updated 6 years ago
- Amazon ECS Interstella Workshops CON209/318/319/407☆55Updated 5 years ago
- Lab Materials for re:Invent 2018 workshop - Hands on with Advanced CloudFormation Techniques and New Features.☆79Updated 5 years ago
- Orchestrating an Application Process with AWS Batch using AWS CloudFormation☆69Updated last year
- Collection of Python and AWS Lambda scripts to find a missing person using twitter streaming data and Amazon Rekognition☆57Updated 6 years ago
- A workshop demonstrating the capabilities of S3, Athena, Glue, Kinesis, and Quicksight.☆158Updated 5 years ago
- ☆52Updated 7 years ago
- Materials for a 2-day instructor led course on applying machine learning☆200Updated 4 years ago
- Notebooks for MXNet☆12Updated 7 years ago
- Sagemaker pipeline for AWS Summit New York☆58Updated 5 years ago
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated 2 years ago
- 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
- This workshop demonstrates two methods of machine learning inference for global production using AWS Lambda and Amazon SageMaker☆59Updated 4 years ago
- Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow☆253Updated 5 years ago
- This is a self paced workshop to get started on Serverless or Container development using AWS Developer Tools.☆9Updated 6 years ago
- A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker☆11Updated 6 years ago
- An Extremely Low Friction (ELF) AWS IoT python example client☆68Updated 7 years ago
- A UI that simplifies testing with Amazon Kinesis Streams and Firehose. Create and save record templates, and easily send data to Amazon K…☆207Updated 8 months ago
- The Image Moderator Chatbot serverless reference architecture demonstrates how to leverage Amazon Rekognition's image moderation deep lea…☆162Updated 6 years ago
- Serverless application that demonstrate how to use AWS AppSync and Amazon Neptune to build a realtime, data driven application.☆125Updated 4 years ago
- This example shows you how to build a serverless hotdog detecting application on AWS using Amazon Rekognition, AWS Lambda, and Amazon API…☆96Updated 6 years ago