Learning Amazon SageMaker
With Martin Kemka
Liked by 553 users
Duration: 1h 11m
Skill level: Intermediate
Released: 4/30/2019
Course details
SageMaker is Amazon’s solution for developers who want to deploy predictive machine learning models into a production environment. Programming is done in Python and the results can easily be integrated into cloud-based applications. These lessons review the entire Amazon SageMaker workflow: analysis, build, and final deployment. Instructor Martin Kemka introduces the benefits of Amazon SageMaker and reviews its browser-based interface and toolset. In the second chapter, he shows how to import, investigate, visualize, and summarize your data. The next stage is to use a clean data sample to train a machine learning model to fulfill a basic task. Finally, Martin shows how the model is deployed. Almost every chapter concludes with a challenge that allows you to practice your new SageMaker skills.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
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Khaled_M_Ali Aklan Albanna
Khaled_M_Ali Aklan Albanna
I.T. Consultant at YBRD | Intelligent systems developer and analyst
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S A M Matiur Rahman
S A M Matiur Rahman
Associate Professor, Department of Software Engineering, Daffodil International University
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Syed Khaja Safiuddin Hussani
Syed Khaja Safiuddin Hussani
Sales Logistics Manager @ Al Madina Logistics | Managing Your Time, Generative AI, Learning Amazon SageMaker
Contents
What’s included
- Practice while you learn 1 exercise file
- Test your knowledge 4 quizzes
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units
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