AWS SageMaker Complete Course| PyTorch & Tensorflow NLP-2023

This course is complete guide of AWS Sage Maker wherein student will learn how to build, deploy Sage Maker models by brining on-premises docker container and integrate it to Sage Maker. Course will also do deep drive on how to bring your own algorithms in AWS Sage Maker Environment. Course will also explain how to use pre-built optimized Sage Maker Algorithm.Course will also do deep drive how to create pipeline and workflow so model could be retrained and scheduled automatically.This course covers all aspect of AWS Certified Machine Learning Specialty (MLS-C01)This course will give you fair ideas of how to build Transformer framework in Keras for 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 repository.This course offers:AWS Certified Machine Learning Specialty (MLS-C01)What is Sage Maker and why it is required Sage Maker Machine Learning lifecycle Sage Maker Architecture Sage Maker training techniques:Bring your own docker container from on premise to Sage Maker Bring your own algorithms from local machine to Sage Maker Sage Maker Pre built Algorithm Sage Maker Pipeline development Schedule the Sage Maker Training notebook More than 5 hour course are provided which helps beginners to excel in Sage Maker and will be well versed with build, train and deploy the models in Sage Maker