Build an AI Application with React and AWS SageMaker

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Emmanuel Henri

1:12:07

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01 - Introduction

01 - Build an AI application with React and SageMaker.mp4

01:05

02 - Course prerequisites.mp4

00:36

02 - 1. Introduction and Setup

01 - Basics of machine learning.mp4

01:16

02 - Introduction to SageMaker.mp4

01:18

03 - AWS SageMaker setup.mp4

01:49

04 - Initializing the React project.mp4

02:51

03 - 2. Feature Engineering

01 - Introduction to SageMaker Data Wrangler.mp4

06:55

02 - Data cleaning and processing with Data Wrangler.mp4

05:12

03 - Feature engineering and transforming data.mp4

07:00

04 - 3. Training and Deployment

01 - Overview of algorithms and the training process.mp4

03:44

02 - Train the model with Autopilot.mp4

04:12

03 - Review models and deploy.mp4

05:02

04 - Predict and clean up resources.mp4

01:52

05 - 4. React Front End

01 - Base app component.mp4

05:17

02 - Form component.mp4

05:58

03 - Results component.mp4

07:15

04 - Finish results component.mp4

10:04

06 - Conclusion

01 - Continue learning SageMaker.mp4

00:41

Description

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.

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React

Artificial Intelligence

Amazon AWS

Emmanuel Henri

Instructor's Courses

An executive with 20+ years of experience in programming, technology, product management, design and business. Published 100+ courses.

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