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1 min
Sagemaker Features
2 min
Intro to the simple end-to-end ML problem
3 min
Free Tier Options
1 min
Deploy ML Models in AWS Sagemaker
- Learn to Build, Train and
Deploy ML Models with AWS Sagemaker in depth.
Sagemaker allows you to do production grade deployment and everything you need in ML lifecycle.
- Covers sagemaker specific details, industry best practices and fully worked
out code with live demonstration.
Created by Selva Prabhakaran
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31 Video Lessons
-
English
-
English captions
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Course Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts
What you will learn
01
What is AWS Sagemaker?
02
How Sagemaker works internally
03
How to build ML models
How to build ML models
with Sagemaker
04
How to do PreProcessing in
How to do PreProcessing in
separate Container
05
Deploy Via Batch Processing
Deploy Via Batch Processing
and Model Endpoints
06
Perform and Track
Perform and Track
ML Experiments
Course Curriculum
8 Modules | 32 Sessions | 2 hour 8 min Total Time
Introduction to Sagemaker
Sessions: 5 | Time: 18 min
Sagemaker Studio
Sessions: 4| Time: 24 min
Sagemaker Initial Setup
Sessions: 2| Time: 11 min
Getting Data into Sagemaker and S3
Sessions: 2| Time: 13 min
Preprocessing Jobs
Sessions: 7| Time: 36 min
Sagemaker Experiments
Sessions: 5| Time: 19 min
Model Deployment
Sessions: 6| Time: 32 min
Hyper Parameter Tuning in Sagemaker
Sessions: 1| Time: 15 min
Requirements
- Basic Maths and Logical Reasoning
- Curiosity about Data Science
- Learning Mindset
Who should attend this course?
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Future Data Scientists and ML Engineers
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Product Managers, Program Managers, Scrum Masters working in ML/Data science project
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Software/Data engineers interested in quantitative analysis
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Software engineers interfacing with data science team
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Executives who have to lead or interact with Data Scientists
Instructor
Selva Prabhakaran Principal Data Scientist
My name is Selva, and I am super excited to mentor you on this project!
I head the Data Science team for a global Fortune 500 company and over the last
10 years of my data science experience I’ve deployed 20+ global products. I’m
also the Founder & Chief Author of Machine Learning Plus, which has over 4M
annual readers.
I specialize in covering the in-depth intuition and maths of any concept or
algorithm. And based on my existing student requests, I’ve put up the series of
courses and projects with detailed explanations – just like an on the job
experience. Hope you love it!
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4.5+Instructor rating
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200+ reviews
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10K+students
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15+ Courses
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Workshop Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts