Build an AI Application with React and AWS SageMaker

سرفصل های دوره

When you want a lot more control over your data, but don't want to manage machine learning tools locally, AWS SageMaker can provide the bridge you need. In this course, Emmanuel Henri shows you how to train SageMaker on your data, tune the results, and then connect it to a React-based application for delivery to your users. Emmanuel takes you through the process step by step, from the initial setup of the project, to feature engineering, training and deployment, and working with the React front end.

01 - Introduction

01 - Build an AI application with React and SageMaker

02 - Course prerequisites

02 - 1. Introduction and Setup

01 - Basics of machine learning

02 - Introduction to SageMaker

03 - AWS SageMaker setup

04 - Initializing the React project

03 - 2. Feature Engineering

01 - Introduction to SageMaker Data Wrangler

02 - Data cleaning and processing with Data Wrangler

03 - Feature engineering and transforming data

04 - 3. Training and Deployment

01 - Overview of algorithms and the training process

02 - Train the model with Autopilot

03 - Review models and deploy

04 - Predict and clean up resources

05 - 4. React Front End

01 - Base app component

02 - Form component

03 - Results component

04 - Finish results component

06 - Conclusion

01 - Continue learning SageMaker

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تولید کننده: LinkedIn Learning (Lynda)