AWS SageMaker Complete Course PyTorch & Tensorflow in NLP

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AWS SageMaker Complete Course | PyTch & Tensflow in NLP
Created by Prakhar Agarwal | Published 6/2021
Duration: 5h 28m | 8 sections | 41 lectures | Video: 1280x720, 44 KHz | 2.2 GB
Genre: eLearning | Language: English + Sub

Build deep learning model in Tensflow/Keras & PyTch. How to bring docker container&Algithm from local to Sagemaker

What you'll learn
What is SageMaker and Why it is required
SageMaker Architechure
Model Building using existing Docker Image in SageMaker
Model Building using existing algithm in SageMaker
Model Building using SageMaker Pre-built algithms
Model Building in Tensflow/Keras
Model Building in Pytch
How to deploy the models in SageMaker
How to make predictions from Endpoints
Create complete End-to End machine learning Pipeline Wkflow
Real time example of NLP
How to schedule the SageMaker notebook f Retraining
How to Build ,deploy and schedule the Model
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Requirements
Free paid subscription to AWS is required. It may ask f Phone and/ Credit Card f verificationPython Basic knowledge
Description
This course is complete guide of AWS SageMaker wherein student will learn how to build, deploy SageMaker models by brining on-premises docker container and integrate it to SageMaker. Course will also do deep drive on how to bring your own algithms in AWS SageMaker Environment. Course will also explain how to use pre-built optimized SageMaker Algithm.
Course will also do deep drive how to create pipeline and wkflow so model could be retrained and scheduled automatically.
This course will give you fair ideas of how to build Transfmer framewk in Keras f multi class classification use cases. Another way of solving multi class classification by using pre-trained model like Bert .
Both the Deep learning model later encapsulated in Docker in local machine and then later push back to AWS ECR reposity.
This course offers:
What is SageMaker and why it is required
SageMaker Machine Learning lifecycle
SageMaker Architecture
SageMaker training techniques:
Bring your own docker container from on premise to SageMaker
Bring your own algithms from local machine to SageMaker
SageMaker Pre built Algithm
SageMaker Pipeline development
Schedule the SageMaker Training notebook
Me than 5 hour course are provided which helps beginners to excel in SageMaker and will be well versed with build, train and deploy the models in SageMaker
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Who this course is f:Data Engineers data scientistDevelopers who want to start a career in wants to learn about the exciting domain of Data Science and Machine LearningBusiness Analysts who want to apply Data Science to solve business problemsLearn how to build train and deploy it in AWS cloud

I recommends Buy premimum account f High speed+parallel downloads!

Rapidgat

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https://rapidgator.net/file/c678d9d2e5d8816c99bde785d143f541/AWS_SageMaker_Complete_Course_PyTch_&_Tensflow_in_NLP.part2.rar.html
https://rapidgator.net/file/af0fecc11f24ce4c072a93c3de933cee/AWS_SageMaker_Complete_Course_PyTch_&_Tensflow_in_NLP.part3.rar.html

Nitroflare

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https://nitro.download/view/58BDAF944F86678/AWS_SageMaker_Complete_Course_PyTch_%26_Tensflow_in_NLP.part2.rar
https://nitro.download/view/B8E6E1A4F663287/AWS_SageMaker_Complete_Course_PyTch_%26_Tensflow_in_NLP.part3.rar