SageMaker reduces this complexity and makes it much easier to build and deploy ML models. Hands-on learning is a key component of this course, so you’ll choose a project to work on, and then apply the knowledge and skills you learn to your chosen project in each phase of the pipeline. You’ll have a choice of projects: fraud detection, recommendation engines, or flight delays. Students will learn about each phase of the pipeline from instructor presentations and demonstrations. They will then apply that knowledge to complete the project. By the end of the course, you will have successfully built, trained, evaluated, tuned, and deployed an ML model.
5 days
$2,500.00
Presently this course is not scheduled. Courses are scheduled based on client demand. To schedule this course, simply contact us.