Training Models with Amazon SageMaker
This course will teach you how to leverage built-in algorithms, use custom frameworks, and fine-tune hyperparameters in SageMaker, giving you the skills to streamline your machine learning workflows.
What you'll learn
In today’s fast-paced world of machine learning, knowing how to efficiently train and deploy models is crucial for any data professional. In this course, Training Models with Amazon SageMaker, you'll learn to
develop key skills for managing machine learning workflows on AWS.
First, you’ll learn to train models using Amazon SageMaker’s built-in algorithms, custom frameworks, and hyperparameter tuning capabilities. Then, you’ll explore how to use SageMaker’s built-in algorithms to quickly set up and run model training jobs. Next, you’ll discover how to implement custom algorithms and frameworks like PyTorch and TensorFlow for more tailored machine learning solutions. Finally, you’ll learn how to perform hyperparameter tuning to optimize your model performance with minimal manual effort.
When you’re finished with this course, you’ll have the skills and knowledge of training machine learning models on Amazon SageMaker, equipping you to streamline your machine learning workflows and enhance model performance in real-world scenarios.
Table of contents
- Course Introduction 1m
- Introduction to Amazon SageMaker 1m
- Setting up a SageMaker Environment 2m
- Built-in Algorithms in SageMaker 1m
- Training Models Using SageMaker's Built-in Algorithms 4m
- Hyperparameter Tuning in SageMaker 2m
- Setting up a Hyperparameter Tuning Job in SageMaker 2m
- Custom Algorithms and Frameworks in SageMaker 1m
- Training Models with Custom Algorithms and Frameworks in SageMaker 4m
- Course Summary 1m
About the author
Jacob Lyman (Jake) is a data professional currently working as an MLOps Engineer at Comet. Jake has a degree from Southern Utah University in Economics and Business Analytics. Since graduating from SUU, he has embraced the school's motto “Learning Lives Forever” throughout his career and now holds multiple professional certifications and proficiencies pertaining to Machine Learning Operations. More details on Jake can be found at www.jacoblyman.com.