Participants will learn about the individual phases of the pipeline through presentations and demonstrations by the trainers and will apply this knowledge to implement a project to solve one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, participants will have successfully created, trained, evaluated, tuned, and deployed an ML model with Amazon SageMaker that solves their chosen business problem.
1. Introduction to Machine Learning and the ML Pipeline
2. Introduction to Amazon SageMaker
3. Problem Formulation
4. Preprocessing
5. Model Training
6. Model Evaluation
7. Feature Engineering and Model Tuning
8. Deployment
This course consists of an online seminar and is led by a trainer who provides live support to the participants. Theory and practice are conveyed through live demonstrations and practical exercises. The video conferencing software Zoom is used.
This course is aimed at the following job roles:
We recommend that participants of this course meet the following prerequisites:
Lernform
Learning form
Keine Filterergebnisse
Das Training wird in Zusammenarbeit mit einem autorisierten Trainingspartner durchgeführt.
Dieser erhebt und verarbeitet Daten in eigener Verantwortung. Bitte nehme die entsprechende Datenschutzerklärung zur Kenntnis