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Course Introduction

Course pre-requisites

Create your first AWS machine learning model

Machine learning project cleanup

Review and feedback

Uploading ML dataset to AWS S3 Bucket

Creating training data source and ML model

Creating predictions in real time

AWS billing alerts

Difference between Artificial Intelligence and Machine Learning

AWS Machine Learning pricing

How to download and install PyCharm IDE

Programmatic access to AWS user

Python Boto 3

Creating an image directory in PyCharm

How to upload images to Web Server

Python PPRINT module

Creating Python helper file

Fetching images from Web Server using Python

Extracting label names

Face detection using Python

Fetching images from AWS S3 Bucket using Python code

AWS Rekognition limitations

Description:

Dive into a comprehensive 2.5-hour video course on AWS Rekognition using Python. Learn to harness the power of Amazon's image and video analysis service, from creating your first machine learning model to implementing face detection. Explore key concepts like uploading datasets to S3 buckets, creating training data sources, and generating real-time predictions. Master practical skills using PyCharm IDE, Python Boto3, and AWS Rekognition API. Gain insights into AI vs ML, AWS pricing, and service limitations. Perfect for developers looking to integrate advanced image analysis capabilities into their applications using AWS Rekognition and Python.

AWS Rekognition Using Python 2022

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#Programming #Cloud Computing #Amazon Web Services (AWS) #Amazon Rekognition #Computer Science #Machine Learning #Programming Languages #Python #Artificial Intelligence #Computer Vision #Image Analysis

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