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Course Introduction
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Classroom Contents
AWS Rekognition Using Python 2022
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- 1 Course Introduction
- 2 Course pre-requisites
- 3 Create your first AWS machine learning model
- 4 Machine learning project cleanup
- 5 Review and feedback
- 6 Uploading ML dataset to AWS S3 Bucket
- 7 Creating training data source and ML model
- 8 Creating predictions in real time
- 9 AWS billing alerts
- 10 Difference between Artificial Intelligence and Machine Learning
- 11 AWS Machine Learning pricing
- 12 How to download and install PyCharm IDE
- 13 Programmatic access to AWS user
- 14 Python Boto 3
- 15 Creating an image directory in PyCharm
- 16 How to upload images to Web Server
- 17 Python PPRINT module
- 18 Creating Python helper file
- 19 Fetching images from Web Server using Python
- 20 Extracting label names
- 21 Face detection using Python
- 22 Fetching images from AWS S3 Bucket using Python code
- 23 AWS Rekognition limitations
