AWS Machine Learning with Python, Part 1 of 4: Your First Project

Course description

This course seeks to equip a student with a solid understanding of machine learning fundamentals as well as using AWS Rekognition. The topics covered include: Getting Started with machine learning, creating your first model, the first machine learning project, how to navigate AWS Billing and how to create training data.

Each LearnNowOnline training course is made up of Modules (typically an hour in length). Within each module there are Topics (typically 15-30 minutes each) and Subtopics (typically 2-5 minutes each). There is a Post Exam for each Module that must be passed with a score of 70% or higher to successfully and fully complete the course.

Prerequisites

the following Python courses are recommended unless the user knows Python Python 3, Part 1 of 6: Getting Started Python 3, Part 2 of 6: Statements Python 3, Part 3 of 6: Data Python 3, Part 4 of 6: Functions and Classes Python 3, Part 5 of 6: Programming Tools Python 3, Part 6 of 6: Modules, JSON, and Algorithms • Basic knowledge of programming concepts desirable • Valid AWS account requires a credit card • AWS will bill you for using Machine Learning resources such as AWS Rekognition. It is not free, and you are solely responsible for all AWS billing • Knowledge of cloud computing concepts is desirable

Meet the expert

Syed Raza

Syed Raza is an IT Enterprise Solutions, Senior Project Architect and Manager.  He has over 20 years experience in  DevOps, Agile, Lean SixSigma, ITIL, ITSM along with AWS, Azure, Google Cloud enterprise solutions including Python, Java, JavaScript, React JS, GCP, Kubernetes, Docker as well as Artificial intelligence.

Video Runtime

89 Minutes

Time to complete

154 Minutes

Course Outline

First Project

Get Started (17:19)

• Introduction (00:13)
• Course Prereq (02:04)
• Create billing alert (05:18)
• Machine Learning in SageMaker (05:29)
• AWS Management Console (04:05)
• Summary (00:08)

AWS Create Model (18:39)

• Introduction (00:08)
• AWS ML Run Through (04:02)
• Launch (03:19)
• Model Settings (04:07)
• Performance Metric (06:54)
• Summary (00:08)

Your First Machine Learning Project Complete (22:30)

• Introduction (00:08)
• Your First Machine Learning Project Complete (09:43)
• View Schema (08:39)
• Review feedback (01:13)
• Project Clean up (02:37)
• Summary (00:08)

Watch Out For AWS Billing Check Frequently (10:55)

• Introduction (00:08)
• Watch Out For AWS Billing (01:57)
• Upload Data Set to S3 (04:19)
• Create Bucket (04:21)
• Summary (00:08)

Creating Training Data Source & Machine Learning (20:01)

• Introduction (00:08)
• Creating Training Data and Model (10:27)
• Generating Predictions (07:55)
• AWS Billing Quick Check (01:22)
• Summary (00:08)