Machine Learning on AWS

This post are some notes of the course done related to ML on AWS (8 hours).

Table of contents

Module 1: Introduction to Machine Learning
Module 2: Artificial Intelligence Services on AWS
Module 3: Machine Learning Process
Module 4: Data Collection, Integration, Preparation, Visualization, and Analysis
Module 5: Deep Learning Amazon Machine Images
Module 6: Amazon SageMaker Concepts
Module 7: Amazon SageMaker Notebooks
Module 8: Amazon SageMaker Built-In Algorithms
Module 9: Amazon SageMaker Training, Debugging and Monitoring
Module 10: Introduction to MLOps
Module 11: Next Steps and Additional Learning
Module 12: End of Course Assessment

Some screenshots

MLOps pipeline orchestration for automated deployments

Useful links

AWS Machine Learning Blog.

Leave a Comment