From the course: AWS Certified Machine Learning Engineer Associate (MLA-C01) Cert Prep
Unlock this course with a free trial
Join today to access over 24,700 courses taught by industry experts.
Hands-on learning: Script mode
From the course: AWS Certified Machine Learning Engineer Associate (MLA-C01) Cert Prep
Hands-on learning: Script mode
- [Instructor] Hello guys and welcome again. So in today's hands-on labs, we're going to know how to use the Amazon SageMaker script mode in order to train your model. So as we've mentioned before, we have these scenarios. The first one being using a built-in SageMaker algorithm in order to train your model. Or you could use a prebuilt SageMaker container image with your own code, which is also called the script mode. Or you could bring your own container image or you could even extend a prebuilt container image. And in this hands-on lab, we're going to know how to use prebuilt SageMaker container images with your own code, which is also called a script mode. So now we're going to search for Amazon SageMaker, click on Amazon SageMaker. And then on the left-hand side we're going to click on Notebook and we're going to access the notebook instances. Then I already have a notebook instance, so I will open it, I'll open Jupyter. So now go to the SageMaker Examples tab and then search for…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Contents
-
-
-
-
-
-
-
-
-
(Locked)
Intro: Model deployment53s
-
(Locked)
Online inference (real-time)20m 57s
-
(Locked)
Batch transform2m 17s
-
(Locked)
Other deployments8m 8s
-
(Locked)
Multi-model vs. multi-container endpoints10m 24s
-
(Locked)
Hands-on learning: Multi-model endpoint7m 16s
-
Hands-on learning: Multi-container endpoint2m 49s
-
(Locked)
SageMaker deployment7m 48s
-
(Locked)
Hands-on learning: XGBoost (churn prediction)6m 43s
-
(Locked)
Hands-on learning: Script mode3m 1s
-
(Locked)
Hands-on learning: Bring your own (BYO) Docker4m
-
(Locked)
SageMaker instance types3m 2s
-
(Locked)
SageMaker SDK7m 11s
-
(Locked)
Distributed training5m 20s
-
(Locked)
SageMaker Debugger3m 33s
-
Hands-on learning: SageMaker serverless inference6m 9s
-
(Locked)
SageMaker Autopilot3m 33s
-
(Locked)
Amazon SageMaker Inference Recommender6m 37s
-
(Locked)
Amazon SageMaker Serverless Inference5m 24s
-
(Locked)
Inference pipeline5m 3s
-
(Locked)
Hands-on learning: SageMaker Model Monitor15m 51s
-
(Locked)
SageMaker Neo6m 29s
-
(Locked)
SageMaker security6m 54s
-
(Locked)
Deployment target services10m 10s
-
(Locked)
Maintainable, scalable, cost-effective deployments8m 38s
-
(Locked)
Automatic scaling metrics4m 16s
-
(Locked)
Performance tradeoff analysis4m 10s
-
(Locked)
Apache Airflow, SageMaker Pipelines6m
-
(Locked)
Isolated ML system13m 12s
-
(Locked)
Exam cram11m 16s
-
(Locked)
-
-
-
-