AWS SageMaker Complete Course| PyTorch & Tensorflow in NLP
Build deep learning model in Tensorflow/Keras & PyTorch. How to bring docker container&Algorithm from local to Sagemaker
What you’ll learn
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What is SageMaker and Why it is required
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SageMaker Architechure
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Model Building using existing Docker Image in SageMaker
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Model Building using existing algorithm in SageMaker
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Model Building using SageMaker Pre-built algorithms
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Model Building in Tensorflow/Keras
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Model Building in Pytorch
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How to deploy the models in SageMaker
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How to make predictions from Endpoints
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Create complete End-to End machine learning Pipeline Workflow
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Real time example of NLP
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How to schedule the SageMaker notebook for Retraining
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How to Build ,deploy and schedule the Model
Requirements
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Free or paid subscription to AWS is required. It may ask for Phone and/or Credit Card for verification
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Python Basic knowledge
Who this course is for:
- Data Engineers or data scientist
- Developers who want to start a career in or wants to learn about the exciting domain of Data Science and Machine Learning
- Business Analysts who want to apply Data Science to solve business problems
- Learn how to build train and deploy it in AWS cloud
