The Machine Learning Pipeline on AWS
Price
No price found.
Duration
4 Days
Modality
Live Online
Course code
AWS-ML-PL
Price
No price found.
Duration
4 Days
Modality
Live Online
Course code
AWS-ML-PL
This course explores how to the use of the iterative machine learning (ML) process pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the process pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays.
By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Learners with little to no machine learning experience or knowledge will benefit from this course. Basic knowledge of Statistics will be helpful.
This course is intended for:
We recommend that attendees of this course have:
This course is intended for:
We recommend that attendees of this course have:
Module Breakdown - For a course module breakdown click here
Introduction
Introduction to Machine Learning and the ML Pipeline
Introduction to Amazon SageMaker
Problem Formulation
Preprocessing
Model Training
Model Evaluation
Feature Engineering and Model Tuning
Deployment