AWS Rekognition Using Python 2022

This course teaches practical image analysis with Amazon Rekognition and Python, including label and text extraction, face detection, real-time predictions, and image handling through Amazon S3. It requires an AWS account and basic cloud-computing knowledge.

Syllabus

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.