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Start Modelling Data with Amazon SageMaker

Start manipulating and modelling data with Amazon SageMaker
Difficulty: Intermediate
Duration: Up to 5 hours and 59 minutes
Students: 913
Rating: 4.2/5
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Content overview
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Content overview

6 steps
There are 2 Courses in this learning path
There are 3 Hands-on Labs in this learning path
There is 1 Exam in this learning path
Difficulty: Intermediate. Duration: 31m 25s.
COURSE
Intermediate
Duration: 31 minutes and 25 seconds
Introduction to SageMaker
This lesson provides a practical understanding of the steps required to build and deploy machine learning models using Amazon SageMaker.
Difficulty: Beginner. Duration: 32m 16s.
COURSE
Beginner
Duration: 32 minutes and 16 seconds
Get Started with Amazon SageMaker Data Wrangler, Data Pipeline, Feature Store and Ground Truth
Get started with the latest SageMaker Data Wrangler, Data Pipeline and Feature Store services (released at re:invent Dec 2020) and SageMaker Ground Truth
Difficulty: Intermediate. Duration: Up to 1h.
HANDS-ON LAB
Intermediate
Duration: Up to 1 hour
Using SageMaker Notebooks to Train and Deploy Machine Learning Models
In this lab, you'll use a SageMaker notebook to learn how to write Python code to prepare data, train and deploy models, and use them for real-time inference.
Difficulty: Beginner. Duration: Up to 2h.
HANDS-ON LAB
Beginner
Duration: Up to 2 hours
Amazon SageMaker Notebook Playground
This playground lab allows you to choose from Amazon's curated library of sample notebooks to learn about what is most important to you.
Difficulty: Beginner. Duration: Up to 1h 30m.
HANDS-ON LAB
Beginner
Duration: Up to 1 hour and 30 minutes
Forecast Flight Delays with Amazon SageMaker
This lab uses Amazon SageMaker to create a machine learning model that forecasts flight delays for US domestic flights.
Duration: Up to 25m.
EXAM
Duration: Up to 25 minutes
Final Exam: Start Modeling Data with Amazon SageMaker
Final Exam: Start Modeling Data with Amazon SageMaker