Practical Data Science with Amazon SageMaker (PDSASM)

 

Course Overview

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.

Who should attend

This course is intended for:

  • Development Operations (DevOps) engineers
  • Application developers

Certifications

This course is part of the following Certifications:

Prerequisites

We recommend that attendees of this course have:

  • AWS Technical Essentials
  • Entry-level knowledge of Python programming
  • Entry-level knowledge of statistics

Course Objectives

In this course, you will learn to:

  • Discuss the benefits of different types of machine learning for solving business problems
  • Describe the typical processes, roles, and responsibilities on a team that builds and deploys ML systems
  • Explain how data scientists use AWS tools and ML to solve a common business problem
  • Summarize the steps a data scientist takes to prepare data
  • Summarize the steps a data scientist takes to train ML models
  • Summarize the steps a data scientist takes to evaluate and tune ML models
  • Summarize the steps to deploy a model to an endpoint and generate predictions
  • Describe the challenges for operationalizing ML models
  • Match AWS tools with their ML function

Prices & Delivery methods

Online Training

Duration
1 day

Price
  • US $ 630
Book now
Enquire a date
Classroom Training

Duration
1 day

Price
  • United Arab Emirates: US $ 630
Book now
Enquire a date

Schedule

English

4 hours difference

Online Training Time zone: Greenwich Mean Time (GMT) Course language: English

8 hours difference

Online Training Time zone: Eastern Daylight Time (EDT) Course language: English
Online Training Time zone: Eastern Daylight Time (EDT) Course language: English

12 hours difference

Online Training Time zone: Pacific Standard Time (PST) Course language: English
Online Training Time zone: Pacific Standard Time (PST) Course language: English
Guaranteed date:   We will carry out all guaranteed training regardless of the number of attendees, exempt from force majeure or other unexpected events, like e.g. accidents or illness of the trainer, which prevent the course from being conducted.
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training. If you have any questions about our online courses, feel free to contact us via phone or Email anytime.
This is a FLEX course, which is delivered both virtually and in the classroom.

United Arab Emirates

Dubai Course language: English
Dubai Course language: English
Dubai Course language: English
Dubai Course language: English
Dubai Course language: English
Dubai Course language: English
Dubai Course language: English
This is a FLEX course, which is delivered both virtually and in the classroom.