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Artificial intelligence and machine learning (AI/ML) are becoming mainstream. In this course, you will spend a day in the life of a data scientist so that you can collaborate efficiently with data scientists and build applications that integrate with ML. You will learn the basic process data scientists use to develop ML solutions on Amazon Web Services (AWS) with Amazon SageMaker. You will experience the steps to build, train, and deploy an ML model through instructor-led demonstrations and labs.
1. Introduction to Machine Learning
2. Preparing a Dataset
3. Training a Model
4. Evaluating and Tuning a Model
5. Deploying a Model
6. Operational Challenges
7. Other Model-Building Tools
This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.
This course is aimed at data science practitioners, machine learning practitioners, application developers and DevOps engineers as well as systems architects.
Lernform
Learning form
Keine Filterergebnisse
The training is carried out in cooperation with an authorized training partner. For the purpose of implementation, participant data will be transferred to the training partner and the training partner assumes responsibility for the processing of these data. Please take note of the corresponding privacy police.
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