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We're here to help you find itThe Machine Learning Pipeline on AWS Course Overview
The Machine Learning Pipeline on AWS course is designed to equip learners with a comprehensive understanding of how to create and deploy machine learning models using AWS services. The curriculum is structured into coherent modules that guide students from the basics of machine learning to the complexities of model deployment.
In Module 1, participants will grasp the fundamentals of machine learning, exploring various use cases, the types of machine learning, and key concepts. They will also get a thorough overview of the ML pipeline and be introduced to the course projects.
Module 2 dives into Amazon SageMaker, providing an introduction and hands-on experience with Jupyter notebooks within the AWS environment.
Subsequent modules guide learners through problem formulation, data preprocessing, model training with Amazon SageMaker, model evaluation, and the intricacies of feature engineering and model tuning.
The final module, Module 8, covers the crucial aspects of deploying models on Amazon SageMaker, including inference and monitoring, as well as deploying ML at the edge, culminating in a course wrap-up and post-assessment.
By the end of the course, participants will have a solid understanding of the ML pipeline on AWS and practical experience that will empower them to tackle real-world machine learning challenges.
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♱ Excluding VAT/GST
Classroom Training price is on request
You can request classroom training in any city on any date by Requesting More Information
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Certainly! Here are the minimum required prerequisites for successfully undertaking training in The Machine Learning Pipeline on AWS course:
These prerequisites are designed to ensure that participants are prepared to engage with the course material effectively and are able to take full advantage of the training program.
The Machine Learning Pipeline on AWS course equips participants with practical AWS ML skills for real-world applications.
Introduction: The Machine Learning Pipeline on AWS course provides a comprehensive journey through the essentials of machine learning, leveraging Amazon SageMaker, and culminates in the deployment of ML models.
Learning Objectives and Outcomes: